Daniel Rueckert

Orcid: 0000-0002-5683-5889

Affiliations:
  • Technical University of Munich, Germany
  • Imperial College London, UK


According to our database1, Daniel Rueckert authored at least 798 papers between 1995 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2016, "For contributions to biomedical image computing".

Timeline

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Bibliography

2024
Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation.
IEEE Trans. Medical Imaging, July, 2024

Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.
IEEE Trans. Medical Imaging, June, 2024

Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers.
IEEE Trans. Medical Imaging, June, 2024

DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning.
IEEE Trans. Medical Imaging, April, 2024

Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT.
Int. J. Comput. Assist. Radiol. Surg., April, 2024

CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy.
IEEE Trans. Medical Imaging, March, 2024

Corrigendum to "Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art" [Comput. Biol. Med. 169 (2024) 107929].
Comput. Biol. Medicine, March, 2024

Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review.
IEEE Trans. Medical Imaging, February, 2024

Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art.
Comput. Biol. Medicine, February, 2024

Unsupervised Pathology Detection: A Deep Dive Into the State of the Art.
IEEE Trans. Medical Imaging, January, 2024

Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI.
Medical Image Anal., January, 2024

Federated learning is not a cure-all for data ethics.
Nat. Mac. Intell., 2024

Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine.
Frontiers Digit. Health, 2024

Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings.
CoRR, 2024

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy.
CoRR, 2024

Learning Visual Prompts for Guiding the Attention of Vision Transformers.
CoRR, 2024

Deep-learning-based clustering of OCT images for biomarker discovery in age-related macular degeneration (Pinnacle study report 4).
CoRR, 2024

Detecting and clustering swallow events in esophageal long-term high-resolution manometry.
CoRR, 2024

Attention-aware non-rigid image registration for accelerated MR imaging.
CoRR, 2024

ChEX: Interactive Localization and Region Description in Chest X-rays.
CoRR, 2024

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation.
CoRR, 2024

Multi-Image Visual Question Answering for Unsupervised Anomaly Detection.
CoRR, 2024

Intensity-based 3D motion correction for cardiac MR images.
CoRR, 2024

Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.
CoRR, 2024

Topologically faithful multi-class segmentation in medical images.
CoRR, 2024

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains.
CoRR, 2024

Diffusion Models with Implicit Guidance for Medical Anomaly Detection.
CoRR, 2024

Visual Privacy Auditing with Diffusion Models.
CoRR, 2024

Spatiotemporal Representation Learning for Short and Long Medical Image Time Series.
CoRR, 2024

Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers.
CoRR, 2024

A Learnable Prior Improves Inverse Tumor Growth Modeling.
CoRR, 2024

Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation.
CoRR, 2024

SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation.
CoRR, 2024

Bounding Reconstruction Attack Success of Adversaries Without Data Priors.
CoRR, 2024

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling.
CoRR, 2024

Towards Universal Unsupervised Anomaly Detection in Medical Imaging.
CoRR, 2024

On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions.
CoRR, 2024

Link Prediction for Flow-Driven Spatial Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training.
Proceedings of the European Interdisciplinary Cybersecurity Conference, 2024

Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Concurrent Ischemic Lesion Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network.
IEEE Trans. Medical Imaging, December, 2023

Fast fetal head compounding from multi-view 3D ultrasound.
Medical Image Anal., October, 2023

Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks.
ACM Trans. Priv. Secur., August, 2023

Differentially Private Graph Neural Networks for Whole-Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.
IEEE Trans. Medical Imaging, April, 2023

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs.
IEEE Trans. Medical Imaging, February, 2023

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging.
IEEE Signal Process. Mag., 2023

Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view.
Medical Image Anal., 2023

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior.
Medical Image Anal., 2023

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
CoRR, 2023

3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs.
CoRR, 2023

Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging.
CoRR, 2023

How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection.
CoRR, 2023

Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps.
CoRR, 2023

All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.
CoRR, 2023

(Predictable) Performance Bias in Unsupervised Anomaly Detection.
CoRR, 2023

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023

Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD.
CoRR, 2023

Denoising diffusion-based MR to CT image translation enables whole spine vertebral segmentation in 2D and 3D without manual annotations.
CoRR, 2023

Unlocking the Diagnostic Potential of ECG through Knowledge Transfer from Cardiac MRI.
CoRR, 2023

Surface Masked AutoEncoder: Self-Supervision for Cortical Imaging Data.
CoRR, 2023

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT.
CoRR, 2023

Extended Graph Assessment Metrics for Graph Neural Networks.
CoRR, 2023

Atlas-Based Interpretable Age Prediction.
CoRR, 2023

Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure.
CoRR, 2023

Explainable 2D Vision Models for 3D Medical Data.
CoRR, 2023

Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy.
CoRR, 2023

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation.
CoRR, 2023

Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs.
CoRR, 2023

Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models.
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

Leveraging gradient-derived metrics for data selection and valuation in differentially private training.
CoRR, 2023

Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.
CoRR, 2023

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration.
CoRR, 2023

Multi-contrast MRI Super-resolution via Implicit Neural Representations.
CoRR, 2023

The Multiscale Surface Vision Transformer.
CoRR, 2023

Reconstruction-driven motion estimation for motion-compensated MR CINE imaging.
CoRR, 2023

Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology.
CoRR, 2023

Equivariant Differentially Private Deep Learning.
CoRR, 2023

Clustering disease trajectories in contrastive feature space for biomarker discovery in age-related macular degeneration.
CoRR, 2023

T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Neural Implicit Functions for 3D Shape Reconstruction from Standard Cardiovascular Magnetic Resonance Views.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Deep Conditional Shape Models for 3D Cardiac Image Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Detection Outcome: A Metric for Pathology Detection in Medical Images.
Proceedings of the Medical Imaging with Deep Learning, 2023

Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening.
Proceedings of the Medical Imaging with Deep Learning, 2023

Towards Generalised Neural Implicit Representations for Image Registration.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

MAD: Modality Agnostic Distance Measure for Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Anatomy-Driven Pathology Detection on Chest X-rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Body Fat Estimation from Surface Meshes Using Graph Neural Networks.
Proceedings of the Shape in Medical Imaging - International Workshop, 2023

Extended Graph Assessment Metrics for Regression and Weighted Graphs.
Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Stroke Outcome and Evolution Prediction from CT Brain Using a Spatiotemporal Diffusion Autoencoder.
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robust Segmentation via Topology Violation Detection and Feature Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

Physics-Aware Motion Simulation For T2*-Weighted Brain MRI.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression.
Proceedings of the Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology, 2023

Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Gradient Self-alignment in Private Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

NISF: Neural Implicit Segmentation Functions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Metrics to Quantify Global Consistency in Synthetic Medical Images.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023


Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images.
Proceedings of the Information Processing in Medical Imaging, 2023

Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging.
Proceedings of the Information Processing in Medical Imaging, 2023

A skeletonization algorithm for gradient-based optimization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DWT-CNNTRN: a Convolutional Transformer for ECG Classification with Discrete Wavelet Transform.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Interactive and Explainable Region-guided Radiology Report Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Bias in Unsupervised Anomaly Detection in Brain MRI.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

Utility-preserving Federated Learning.
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models.
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

Self-supervised learning for atrial fibrillation detection with ECG using CNNTransformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Diagnosis.
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023

2022
Self-Supervised Learning for Few-Shot Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI.
IEEE Trans. Medical Imaging, 2022

Learning a Model-Driven Variational Network for Deformable Image Registration.
IEEE Trans. Medical Imaging, 2022

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net.
IEEE Trans. Image Process., 2022

Zen and the art of model adaptation: Low-utility-cost attack mitigations in collaborative machine learning.
Proc. Priv. Enhancing Technol., 2022

AI-Based Reconstruction for Fast MRI - A Systematic Review and Meta-Analysis.
Proc. IEEE, 2022

Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2022

Predicting age and clinical risk from the neonatal connectome.
NeuroImage, 2022

Federated disentangled representation learning for unsupervised brain anomaly detection.
Nat. Mach. Intell., 2022

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal., 2022

Enhancing MR image segmentation with realistic adversarial data augmentation.
Medical Image Anal., 2022

Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index.
J. Priv. Confidentiality, 2022

Privacy: An Axiomatic Approach.
Entropy, 2022

Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging.
CoRR, 2022

A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
CoRR, 2022

How Do Input Attributes Impact the Privacy Loss in Differential Privacy?
CoRR, 2022

The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images.
CoRR, 2022

Generalised Likelihood Ratio Testing Adversaries through the Differential Privacy Lens.
CoRR, 2022

Label Noise-Robust Learning using a Confidence-Based Sieving Strategy.
CoRR, 2022

Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance.
CoRR, 2022

Review of data types and model dimensionality for cardiac DTI SMS-related artefact removal.
CoRR, 2022

Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis.
CoRR, 2022

Metadata-enhanced contrastive learning from retinal optical coherence tomography images.
CoRR, 2022

A Review of Causality for Learning Algorithms in Medical Image Analysis.
CoRR, 2022

What do we learn? Debunking the Myth of Unsupervised Outlier Detection.
CoRR, 2022

Surface Analysis with Vision Transformers.
CoRR, 2022

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation.
CoRR, 2022

Kernel Normalized Convolutional Networks.
CoRR, 2022

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.
CoRR, 2022

SmoothNets: Optimizing CNN architecture design for differentially private deep learning.
CoRR, 2022

Can collaborative learning be private, robust and scalable?
CoRR, 2022

Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces.
CoRR, 2022

Data and Physics Driven Learning Models for Fast MRI - Fundamentals and Methodologies from CNN, GAN to Attention and Transformers.
CoRR, 2022

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging.
CoRR, 2022

SoK: Differential Privacy on Graph-Structured Data.
CoRR, 2022

Differentially private training of residual networks with scale normalisation.
CoRR, 2022

Differentially Private Graph Classification with GNNs.
CoRR, 2022

Review of Data Types and Model Dimensionality for Cardiac DTI SMS-Related Artefact Removal.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Comparison of Semi- and Un-Supervised Domain Adaptation Methods for Whole-Heart Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Faster Diffusion Cardiac MRI with Deep Learning-Based Breath Hold Reduction.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

On the Pitfalls of Using the Residual Error as Anomaly Score.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Can Collaborative Learning Be Private, Robust and Scalable?
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Embedding Gradient-Based Optimization in Image Registration Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Physiology-Based Simulation of the Retinal Vasculature Enables Annotation-Free Segmentation of OCT Angiographs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.
Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

Automated Analysis of Diabetic Retinopathy Using Vessel Segmentation Maps as Inductive Bias.
Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Long-Term Cognitive Outcome Prediction in Stroke Patients Using Multi-task Learning on Imaging and Tabular Data.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

Multi-Modal Unsupervised Brain Image Registration Using Edge Maps.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Joint Learning of Localized Representations from Medical Images and Reports.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Anomaly Localization with Structural Feature-Autoencoders.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.
IEEE Trans. Medical Imaging, 2021

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
Proc. IEEE, 2021

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2021

Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.
NeuroImage, 2021

Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.
Nat. Mach. Intell., 2021

End-to-end privacy preserving deep learning on multi-institutional medical imaging.
Nat. Mach. Intell., 2021

AI-based Reconstruction for Fast MRI - A Systematic Review and Meta-analysis.
CoRR, 2021

Distributed Machine Learning and the Semblance of Trust.
CoRR, 2021

GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration.
CoRR, 2021

FedRAD: Federated Robust Adaptive Distillation.
CoRR, 2021

Complex-valued deep learning with differential privacy.
CoRR, 2021

Partial sensitivity analysis in differential privacy.
CoRR, 2021

An automatic differentiation system for the age of differential privacy.
CoRR, 2021

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.
CoRR, 2021

Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation.
CoRR, 2021

Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty.
CoRR, 2021

Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation.
CoRR, 2021

Differentially private federated deep learning for multi-site medical image segmentation.
CoRR, 2021

Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net.
CoRR, 2021

Automated Knee X-ray Report Generation.
CoRR, 2021

HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning.
CoRR, 2021

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation.
CoRR, 2021

Personalized Federated Deep Learning for Pain Estimation From Face Images.
CoRR, 2021

Reducing Textural Bias Improves Robustness of Deep Segmentation Models.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Learning Diffeomorphic and Modality-invariant Registration using B-splines.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Detecting Outliers with Poisson Image Interpolation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation.
Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization.
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021


Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Improving Phenotype Prediction Using Long-Range Spatio-Temporal Dynamics of Functional Connectivity.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Voxel-Level Importance Maps for Interpretable Brain Age Estimation.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021

Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Multiscale Graph Convolutional Networks for Cardiac Motion Analysis.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Bias Field Robustness Verification of Large Neural Image Classifiers.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.
IEEE Trans. Medical Imaging, 2020

Model-Based and Data-Driven Strategies in Medical Image Computing.
Proc. IEEE, 2020

Secure, privacy-preserving and federated machine learning in medical imaging.
Nat. Mach. Intell., 2020

Privacy-preserving medical image analysis.
CoRR, 2020

Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs.
CoRR, 2020

2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments.
CoRR, 2020

Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare.
CoRR, 2020

Efficient, high-performance pancreatic segmentation using multi-scale feature extraction.
CoRR, 2020

Causal Future Prediction in a Minkowski Space-Time.
CoRR, 2020

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR, 2020

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction.
CoRR, 2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020

Learning Cross-domain Generalizable Features by Representation Disentanglement.
CoRR, 2020

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images.
Comput. Medical Imaging Graph., 2020

Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020

3D Probabilistic Segmentation and Volumetry from 2D Projection Images.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Ultrasound Video Summarization Using Deep Reinforcement Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Realistic Adversarial Data Augmentation for MR Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Patch-Based Brain Age Estimation from MR Images.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification.
Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 2020

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Learning-Based Quality Control for Cardiac MR Images.
IEEE Trans. Medical Imaging, 2019

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2019

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging.
IEEE Trans. Medical Imaging, 2019

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.
IEEE Trans. Medical Imaging, 2019

Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort.
PLoS Comput. Biol., 2019

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project.
NeuroImage, 2019

Deep-learning cardiac motion analysis for human survival prediction.
Nat. Mach. Intell., 2019

Attention gated networks: Learning to leverage salient regions in medical images.
Medical Image Anal., 2019

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.
Medical Image Anal., 2019

Self-supervised learning for medical image analysis using image context restoration.
Medical Image Anal., 2019

Computational anatomy for multi-organ analysis in medical imaging: A review.
Medical Image Anal., 2019

Evaluating reinforcement learning agents for anatomical landmark detection.
Medical Image Anal., 2019

Age-related craniofacial differences based on spatio-temporal face image atlases.
IET Image Process., 2019

Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction.
CoRR, 2019

Deep learning for cardiac image segmentation: A review.
CoRR, 2019

Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network.
CoRR, 2019

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction.
CoRR, 2019

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance.
CoRR, 2019

Improving the generalizability of convolutional neural network-based segmentation on CMR images.
CoRR, 2019

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR, 2019

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space.
CoRR, 2019

Generalising Deep Learning MRI Reconstruction across Different Domains.
CoRR, 2019

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.
CoRR, 2019

Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes.
Proceedings of the Machine Learning for Healthcare Conference, 2019

Complete Fetal Head Compounding from Multi-view 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multiple Landmark Detection Using Multi-agent Reinforcement Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform MR Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Intelligent Image Synthesis to Attack a Segmentation CNN Using Adversarial Learning.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations.
Proceedings of the Information Processing in Medical Imaging, 2019

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2018

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
IEEE Trans. Medical Imaging, 2018

Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint.
IEEE Trans. Medical Imaging, 2018

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.
IEEE Trans. Medical Imaging, 2018

DRINet for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2018

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018

A large margin algorithm for automated segmentation of white matter hyperintensity.
Pattern Recognit., 2018

Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Multimodal surface matching with higher-order smoothness constraints.
NeuroImage, 2018

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.
NeuroImage, 2018

A review on automatic fetal and neonatal brain MRI segmentation.
NeuroImage, 2018

Metric learning with spectral graph convolutions on brain connectivity networks.
NeuroImage, 2018

A spatio-temporal reference model of the aging brain.
NeuroImage, 2018

Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex.
NeuroImage, 2018

Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients.
Medical Image Anal., 2018

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Anal., 2018

GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation.
CoRR, 2018

Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging.
CoRR, 2018

A generic framework for privacy preserving deep learning.
CoRR, 2018

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks.
CoRR, 2018

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.
CoRR, 2018

NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines.
CoRR, 2018

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR, 2018

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.
CoRR, 2018

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection.
CoRR, 2018

Attention U-Net: Learning Where to Look for the Pancreas.
CoRR, 2018

Learning-Based Quality Control for Cardiac MR Images.
CoRR, 2018

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.
Bioinform., 2018

Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Bayesian Deep Learning for Accelerated MR Image Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018


Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Automatic Shadow Detection in 2D Ultrasound Images.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images.
Proceedings of the Shape in Medical Imaging, 2018

Multi-task Learning for Left Atrial Segmentation on GE-MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automatic left ventricular outflow tract classification for accurate cardiac MR planning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep learning with ultrasound physics for fetal skull segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Semi-Supervised Learning via Compact Latent Space Clustering.
Proceedings of the 35th International Conference on Machine Learning, 2018

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Fetal Skull Reconstruction via Deep Convolutional Autoencoders.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry.
Proceedings of the Computing in Cardiology, 2018

2017
Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
IEEE Trans. Medical Imaging, 2017

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2017

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.
IEEE Trans. Medical Imaging, 2017

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.
IEEE Trans. Medical Imaging, 2017

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI.
IEEE Trans. Medical Imaging, 2017

A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2017

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion.
Pattern Recognit., 2017

Supervoxel classification forests for estimating pairwise image correspondences.
Pattern Recognit., 2017

Group-constrained manifold learning: Application to AD risk assessment.
Pattern Recognit., 2017

A flexible graphical model for multi-modal parcellation of the cortex.
NeuroImage, 2017

Learning and combining image neighborhoods using random forests for neonatal brain disease classification.
Medical Image Anal., 2017

A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction.
Medical Image Anal., 2017

Multi-atlas pancreas segmentation: Atlas selection based on vessel structure.
Medical Image Anal., 2017

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.
Medical Image Anal., 2017

Autoadaptive motion modelling for MR-based respiratory motion estimation.
Medical Image Anal., 2017

Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System.
Frontiers Neuroinformatics, 2017

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images.
CoRR, 2017

Human-level CMR image analysis with deep fully convolutional networks.
CoRR, 2017

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images.
CoRR, 2017

Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements.
CoRR, 2017

Employing Weak Annotations for Medical Image Analysis Problems.
CoRR, 2017

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR, 2017

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.
CoRR, 2017

Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Spectral Graph Convolutions for Population-Based Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

A deformable model for the reconstruction of the neonatal cortex.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Exploring heritability of functional brain networks with inexact graph matching.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction.
Proceedings of the Information Processing in Medical Imaging, 2017

Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks.
Proceedings of the Information Processing in Medical Imaging, 2017

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017

Accessible GLSL Shader Programming.
Proceedings of the 38th Annual Conference of the European Association for Computer Graphics, 2017

2016
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography.
IEEE Trans. Medical Imaging, 2016

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.
IEEE Trans. Biomed. Eng., 2016

Group-wise parcellation of the cortex through multi-scale spectral clustering.
NeuroImage, 2016

Regional growth and atlasing of the developing human brain.
NeuroImage, 2016

Instantiated mixed effects modeling of Alzheimer's disease markers.
NeuroImage, 2016

An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer T<sub>E</sub> without loss of temporal efficiency.
NeuroImage, 2016

Learning clinically useful information from images: Past, present and future.
Medical Image Anal., 2016

A Weighted Mirror Descent Algorithm for Nonsmooth Convex Optimization Problem.
J. Optim. Theory Appl., 2016

A robust similarity measure for volumetric image registration with outliers.
Image Vis. Comput., 2016

Learning under Distributed Weak Supervision.
CoRR, 2016

DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks.
CoRR, 2016

Comparison of Brain Networks with Unknown Correspondences.
CoRR, 2016

Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound.
CoRR, 2016

High-Performance Motion Correction of Fetal MRI.
Proceedings of the 4th EuroVis Workshop on Reproducibility, 2016

Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Differential Dementia Diagnosis on Incomplete Data with Latent Trees.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

DeepMedic for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Correction of Fat-Water Swaps in Dixon MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016


Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Modeling the brain morphology distribution in the general aging population.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Cascade Registration of Micro CT Volumes Taken in Multiple Resolutions.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Construction of a neonatal cortical surface atlas using multimodal surface matching.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Priori-driven dimensions of face-space: experiments incorporating eye-tracking information.
Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 2016

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Discrete Optimisation for Group-Wise Cortical Surface Atlasing.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Fast Deformable Image Registration with Non-smooth Dual Optimization.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Fast Catheter Segmentation From Echocardiographic Sequences Based on Segmentation From Corresponding X-Ray Fluoroscopy for Cardiac Catheterization Interventions.
IEEE Trans. Medical Imaging, 2015

Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices.
IEEE Trans. Medical Imaging, 2015

4D Blood Flow Reconstruction Over the Entire Ventricle From Wall Motion and Blood Velocity Derived From Ultrasound Data.
IEEE Trans. Medical Imaging, 2015

Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion.
IEEE Trans. Medical Imaging, 2015

Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching.
NeuroImage, 2015

Discriminative dictionary learning for abdominal multi-organ segmentation.
Medical Image Anal., 2015

Right ventricle segmentation from cardiac MRI: A collation study.
Medical Image Anal., 2015

Robust whole-brain segmentation: Application to traumatic brain injury.
Medical Image Anal., 2015

Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge.
Medical Image Anal., 2015

A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion.
Medical Image Anal., 2015

Multi-atlas segmentation with augmented features for cardiac MR images.
Medical Image Anal., 2015

Pancreas segmentation from 3D abdominal CT images using patient-specific weighted subspatial probabilistic atlases.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Machine learning for the automatic localisation of foetal body parts in cine-MRI scans.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Learning and Combining Image Similarities for Neonatal Brain Population Studies.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Towards Left Ventricular Scar Localisation Using Local Motion Descriptors.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Structured Decision Forests for Multi-modal Ultrasound Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Adaptive scan strategies for fetal MRI imaging using slice to volume techniques.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.
Proceedings of the Information Processing in Medical Imaging, 2015

Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex.
Proceedings of the Information Processing in Medical Imaging, 2015

Multi-atlas Segmentation as a Graph Labelling Problem: Application to Partially Annotated Atlas Data.
Proceedings of the Information Processing in Medical Imaging, 2015

Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.
Proceedings of the Information Processing in Medical Imaging, 2015

Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI.
Proceedings of the Information Processing in Medical Imaging, 2015

Automatic Brain Localization in Fetal MRI Using Superpixel Graphs.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

Prediction of Clinical Information from Cardiac MRI Using Manifold Learning.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images.
Proceedings of the Sixth International Conference on Emerging Security Technologies, 2015

Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014
Registration and Segmentation in Medical Imaging.
Proceedings of the Registration and Recognition in Images and Videos, 2014

Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain.
IEEE Trans. Medical Imaging, 2014

Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction.
IEEE Trans. Medical Imaging, 2014

Hierarchical Manifold Learning for Regional Image Analysis.
IEEE Trans. Medical Imaging, 2014

Automatic quantification of normal cortical folding patterns from fetal brain MRI.
NeuroImage, 2014

Automated fetal brain segmentation from 2D MRI slices for motion correction.
NeuroImage, 2014

Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO.
NeuroImage, 2014

Multiple instance learning for classification of dementia in brain MRI.
Medical Image Anal., 2014

High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment.
Medical Image Anal., 2014

Multi-scale feature learning on pixels and super-pixels for seminal vesicles MRI segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Geodesic Patch-Based Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014

Graph-Based Label Propagation in Fetal Brain MR Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Manifold Learning for Cardiac Modeling and Estimation Framework.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014

Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

A fast catheter segmentation and tracking from echocardiographic sequences based on corresponding X-ray fluoroscopic image segmentation and hierarchical GRAPH modelling.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

A robust similarity measure for nonrigid image registration with outliers.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Extended boundary shift integral.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Coronary centerline extraction based on ostium detection and model-guided directional minimal path.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Automatic quantification of CT images for traumatic brain injury.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Learning osteoarthritis imaging biomarkers using Laplacian eigenmap embeddings with data from the OAI.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Super-resolution reconstruction of cardiac MRI using coupled dictionary learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Autoadaptive motion modelling.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Patch-Based Evaluation of Image Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation.
IEEE Trans. Medical Imaging, September, 2013

A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.
IEEE Trans. Medical Imaging, 2013

A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images.
IEEE Trans. Medical Imaging, 2013

Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling.
NeuroImage, 2013

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease.
NeuroImage, 2013

The estimation of patient-specific cardiac diastolic functions from clinical measurements.
Medical Image Anal., 2013

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database.
Medical Image Anal., 2013

Temporal sparse free-form deformations.
Medical Image Anal., 2013

Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy.
Comput. Medical Imaging Graph., 2013

Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Landmark detection and coupled patch registration for cardiac motion tracking.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Improving whole-brain segmentations through incorporating regional image intensity statistics.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Data-specific feature point descriptor matching using dictionary learning and graphical models.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Fast Catheter Tracking in Echocardiographic Sequences for Cardiac Catheterization Interventions.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013

Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Patch-Based Segmentation without Registration: Application to Knee MRI.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Multiple Instance Learning for Classification of Dementia in Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Localisation of the Brain in Fetal MRI Using Bundled SIFT Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Catheter tracking in 3D echocardiographic sequences based on tracking in 2D X-ray sequences for cardiac catheterization interventions.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Multi-atlas based neointima segmentation in intravascular coronary OCT.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion.
Proceedings of the Information Processing in Medical Imaging, 2013

Flow Analysis in Cardiac Chambers Combining Phase Contrast, 3D Tagged and Cine MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013

2012
A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration.
IEEE Trans. Medical Imaging, 2012

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease.
NeuroImage, 2012

Erratum to Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression [NeuroImage 59/3(2012) 2255-2265].
NeuroImage, 2012

Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression.
NeuroImage, 2012

Automated measurement of local white matter lesion volume.
NeuroImage, 2012

Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease.
NeuroImage, 2012

Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants.
NeuroImage, 2012

Nonlinear dimensionality reduction combining MR imaging with non-imaging information.
Medical Image Anal., 2012

Reconstruction of a 3D surface from video that is robust to missing data and outliers: Application to minimally invasive surgery using stereo and mono endoscopes.
Medical Image Anal., 2012

Recognition of 3D facial expression dynamics.
Image Vis. Comput., 2012

Diffeomorphic 3D Image Registration via Geodesic Shooting Using an Efficient Adjoint Calculation.
Int. J. Comput. Vis., 2012

Robust Global Registration through Geodesic Paths on an Empirical Manifold with Knee MRI from the Osteoarthritis Initiative (OAI).
Proceedings of the Biomedical Image Registration - 5th International Workshop, 2012

Nonrigid free-form registration using landmark-based statistical deformation models.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Localised manifold learning for cardiac image analysis.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Real-Time Catheter Extraction from 2D X-Ray Fluoroscopic and 3D Echocardiographic Images for Cardiac Interventions.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2012

Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012

Registration Using Sparse Free-Form Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Unsupervised Learning of Shape Complexity: Application to Brain Development.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012

Gradient Projection Learning for Parametric Nonrigid Registration.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Geodesic Information Flows.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Dictionary Learning and Time Sparsity in Dynamic MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Hierarchical Manifold Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Automatic detection of coronary stent struts in intravascular OCT imaging.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Solving MRF Minimization by Mirror Descent.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012

LISA: Longitudinal image registration via spatio-temporal atlases.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Multi-class brain segmentation using atlas propagation and EM-based refinement.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

4D Cardiac Volume Reconstruction from Free-Breathing 2D Real-Time Image Acquisitions using Iterative Motion Correction.
Proceedings of the 2012 Imperial College Computing Student Workshop, 2012

Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

2011
Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping.
IEEE Trans. Medical Imaging, 2011

A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development.
IEEE Trans. Medical Imaging, 2011

Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease.
NeuroImage, 2011

A dynamic 4D probabilistic atlas of the developing brain.
NeuroImage, 2011

Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease.
NeuroImage, 2011

Automatic morphometry in Alzheimer's disease and mild cognitive impairment.
NeuroImage, 2011

Relating Brain Functional Connectivity to Anatomical Connections: Model Selection.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Manifold-based classification incorporating subject metadata.
Proceedings of the Medical Image Understanding and Analysis, 2011

Diffeomorphic Atlas Estimation using Karcher Mean and Geodesic Shooting on Volumetric Images.
Proceedings of the Medical Image Understanding and Analysis, 2011

Automated Segmentation of Coronary Vessel Wall in OCT Imaging.
Proceedings of the Medical Image Understanding and Analysis, 2011

A Four-dimensional Atlas of Neonatal Brain MRI.
Proceedings of the Medical Image Understanding and Analysis, 2011

Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease.
Proceedings of the Medical Image Understanding and Analysis, 2011

Regional Analysis of FDG-PET for the Classification of Alzheimers Disease.
Proceedings of the Medical Image Understanding and Analysis, 2011

Hierarchy in structural brain networks.
Proceedings of the Medical Image Understanding and Analysis, 2011

Motion tracking of left ventricle and coronaries in 4D CTA.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Incorporating hard constraints into non-rigid registration via nonlinear programming.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Manifold learning for automatically predicting articular cartilage morphology in the knee with data from the osteoarthritis initiative (OAI).
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011

A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011

Validation of a Novel Method for the Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2011

Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

Automatic segmentation and identification of solitary pulmonary nodules on follow-up CT scans based on local intensity structure analysis and non-rigid image registration.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Manifold learning combining imaging with non-imaging information.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automatical vessel wall detection in intravascular coronary OCT.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Construction of a 4D atlas of the developing brain using non-rigid registration.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Towards dense motion estimation in light and electron microscopy.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Improved generation of probabilistic atlases for the expectation maximization classification.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Exploiting hierarchy in structural brain networks.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Inference of functional connectivity from direct and indirect structural brain connections.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automated quantification and analysis of facial asymmetry in children with arthritis in the temporomandibular joint.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections.
Proceedings of the Information Processing in Medical Imaging, 2011

A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance Imaging.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011

A dynamic approach to the recognition of 3D facial expressions and their temporal models.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Learning and Discovery of Clinically Useful Information from Images.
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011

2010
Nonrigid Registration of Medical Images: Theory, Methods, and Applications [Applications Corner].
IEEE Signal Process. Mag., 2010

Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI.
NeuroImage, 2010

LEAP: Learning embeddings for atlas propagation.
NeuroImage, 2010

Identifying population differences in whole-brain structural networks: A machine learning approach.
NeuroImage, 2010

Fast and robust multi-atlas segmentation of brain magnetic resonance images.
NeuroImage, 2010

Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation.
NeuroImage, 2010

A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm.
NeuroImage, 2010

An optimised tract-based spatial statistics protocol for neonates: Applications to prematurity and chronic lung disease.
NeuroImage, 2010

Corrigendum to "An evaluation of four automatic methods of segmenting the subcortical structures in the brain" [NeuroImage 47 (2009) 1435-1447].
NeuroImage, 2010

Editorial.
Medical Image Anal., 2010

Image guidance for robotic minimally invasive coronary artery bypass.
Comput. Medical Imaging Graph., 2010

A Computational White Matter Atlas for Aging with Surface-Based Representation of Fasciculi.
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010

Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA.
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010

Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies.
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010

Manifold Learning for Biomarker Discovery in MR Imaging.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010

Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

A Robust Mosaicing Method with Super-Resolution for Optical Medical Images.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Coronary artery motion modeling from 3D cardiac CT sequences using template matching and graph search.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Probabilistic white matter and fiber tract atlas construction.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Construction of a dynamic 4D probabilistic atlas for the developing brain.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Inference of functional connectivity from structural brain connectivity.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Automated quantification and analysis of mandibular asymmetry.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Image registration of whole-body mouse MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

A Robust Mosaicing Method for Robotic Assisted Minimally Invasive Surgery.
Proceedings of the ICINCO 2010, 2010

Dense Multi-frame Optic Flow for Non-rigid Objects Using Subspace Constraints.
Proceedings of the Computer Vision - ACCV 2010, 2010

2009
Analysis of serial magnetic resonance images of mouse brains using image registration.
NeuroImage, 2009

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.
NeuroImage, 2009

An evaluation of four automatic methods of segmenting the subcortical structures in the brain.
NeuroImage, 2009

Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy.
NeuroImage, 2009

4D motion modeling of the coronary arteries from CT images for robotic assisted minimally invasive surgery.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Automatic segmentation of brain MRIs and mapping neuroanatomy across the human lifespan.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Left atrium pulmonary veins: segmentation and quantification for planning atrial fibrillation ablation.
Proceedings of the Medical Imaging 2009: Visualization, 2009

Photo-consistency registration of a 4D cardiac motion model to endoscopic video for image guidance of robotic coronary artery bypass.
Proceedings of the Medical Imaging 2009: Visualization, 2009

Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Segmentation of Subcortical Structures and the Hippocampus in Brain MRI Using Graph-Cuts and Subject-Specific A-Priori Information.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Robust Segmentation of Brain Structures in MRI.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Atlas-Based Registration Parameters in Segmenting Sub-Cortical Regions from Brain MRI-Images.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Automatic Extraction of the Left Atrial Anatomy from MR for Atrial Fibrillation Ablation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

The Mirror Method of Assessing Segmentation Quality in Atlas Label Propagation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest.
NeuroImage, 2008

Automated morphological analysis of magnetic resonance brain imaging using spectral analysis.
NeuroImage, 2008

Assessment of brain growth in early childhood using deformation-based morphometry.
NeuroImage, 2008

Hierarchical statistical shape analysis and prediction of sub-cortical brain structures.
Medical Image Anal., 2008

Performance prediction for a code with data-dependent runtimes.
Concurr. Comput. Pract. Exp., 2008

Automatic volumetry on MR brain images can support diagnostic decision making.
BMC Medical Imaging, 2008

Interactive Finite Element Simulation of the Beating Heart for Image-Guided Robotic Cardiac Surgery.
Proceedings of the Medicine Meets Virtual Reality 16, 2008

Left atrium segmentation for atrial fibrillation ablation.
Proceedings of the Medical Imaging 2008: Visualization, 2008

Augmented reality image guidance for minimally invasive coronary artery bypass.
Proceedings of the Medical Imaging 2008: Visualization, 2008

Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Sample Sufficiency and Number of Modes to Retain in Statistical Shape Modelling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A Novel Algorithm for Heart Motion Analysis Based on Geometric Constraints.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Coronary Motion Modelling for Augmented Reality Guidance of Endoscopic Coronary Artery Bypass.
Proceedings of the Biomedical Simulation, 4th International Symposium, 2008

Deformation based morphmetry and atlas based label segmentation: Application to serial mouse brain images.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Construction of a patient-specific atlas of the brain: Application to normal aging.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Sample Sufficiency and PCA Dimension for Statistical Shape Models.
Proceedings of the Computer Vision, 2008

Statistical shape modelling: How many modes should be retained?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis.
IEEE Trans. Medical Imaging, 2007

MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies.
IEEE Trans. Medical Imaging, 2007

Automatic segmentation and reconstruction of the cortex from neonatal MRI.
NeuroImage, 2007

Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study.
NeuroImage, 2007

Multivariate Statistical Differences of MRI Samples of the Human Brain.
J. Math. Imaging Vis., 2007

A multivariate statistical analysis of the developing human brain in preterm infants.
Image Vis. Comput., 2007

Robust segmentation of brain MRI using combination of registration and EM-based methods.
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007

Segmentation of cardiac MR and CT image sequences using model-based registration of a 4D statistical model.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Automated localization of periventricular and subcortical white matter lesions.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Quantifying brain development in early childhood using segmentation and registration.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Unbiased White Matter Atlas Construction Using Diffusion Tensor Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Longitudinal Cortical Registration for Developing Neonates.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Nonrigid Image Registration with Subdivision Lattices: Application to Cardiac MR Image Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Similarity Metrics for Groupwise Non-rigid Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Groupwise Combined Segmentation and Registration for Atlas Construction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Classifier Selection Strategies for Label Fusion Using Large Atlas Databases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Automatic Cortical Segmentation in the Developing Brain.
Proceedings of the Information Processing in Medical Imaging, 2007

2006
Automatic Quantification of Changes in Bone in Serial MR Images of Joints.
IEEE Trans. Medical Imaging, 2006

Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data.
NeuroImage, 2006

Automatic anatomical brain MRI segmentation combining label propagation and decision fusion.
NeuroImage, 2006

Cerebral atrophy measurements using Jacobian integration: Comparison with the boundary shift integral.
NeuroImage, 2006

Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry.
NeuroImage, 2006

3D Statistical Shape Modeling of Long Bones.
Proceedings of the Biomedical Image Registration, Third International Workshop, 2006

Canonical Correlation Analysis of Sub-cortical Brain Structures Using Non-rigid Registration.
Proceedings of the Biomedical Image Registration, Third International Workshop, 2006

Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains.
Proceedings of the Biomedical Image Registration, Third International Workshop, 2006

Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach.
Proceedings of the 19th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2006), 2006

A whole brain morphometric analysis of changes associated with pre-term birth.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Diffeomorphic Registration Using B-Splines.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Statistical Finite Element Model for Bone Shape and Biomechanical Properties.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Segmentation of Brain MRI in Young Children.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Multiclassifier Fusion in Human Brain MR Segmentation: Modelling Convergence.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Automatic extraction and matching of neonatal cerebral vasculature.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Analysis of growth in the developing brain using non-rigid registration.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Quantification of Growth and Motion Using Non-rigid Registration.
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006

Hierarchical Statistical Shape Analysis and Prediction of Sub-Cortical Brain Structures.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration.
IEEE Trans. Medical Imaging, 2005

Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging.
Medical Image Anal., 2005

Spatio-temporal free-form registration of cardiac MR image sequences.
Medical Image Anal., 2005

A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Propagating labels of the human brain based on non-rigid MR image registration: an evaluation.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Localization of Abnormal Conduction Pathways for Tachyarrhythmia Treatment Using Tagged MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Construction of a 4D Statistical Atlas of the Cardiac Anatomy and Its Use in Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Interpolation Artefacts in Non-rigid Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Detecting and Comparing the Onset of Myocardial Activation and Regional Motion Changes in Tagged MR for XMR-Guided RF Ablation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2005

Fast Spatio-temporal Free-Form Registration of Cardiac MR Image Sequences.
Proceedings of the Functional Imaging and Modeling of the Heart, 2005

Comparison of Cardiac Motion Fields from Tagged and Untagged MR Images Using Nonrigid Registration.
Proceedings of the Functional Imaging and Modeling of the Heart, 2005

Evaluation of 3D Face Recognition Using Registration and PCA.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005

2004
Spatial transformation of motion and deformation fields using nonrigid registration.
IEEE Trans. Medical Imaging, 2004

Registration-based interpolation.
IEEE Trans. Medical Imaging, 2004

Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration.
IEEE Trans. Medical Imaging, 2004

Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm.
Medical Image Anal., 2004

Simultaneous Segmentation and Registration for Medical Image.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Simulation of the Electromechanical Activity of the Heart Using XMR Interventional Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Registration-Based Interpolation Using a High-Resolution Image for Guidance.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Determination of Aortic Distensibility Using Non-rigid Registration of Cine MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

3D/4D Cardiac Segmentation Using Active Appearance Models, Non-rigid Registration, and the Insight Toolkit.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Detecting the Onset of Myocardial Contraction for Establishing Inverse Electro-Mechanical Coupling in XMR Guided RF Ablation.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Building a 4D Atlas of the Cardiac Anatomy and Motion Using MR Imaging.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Analysis of Serial MR Images of Joints.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Cardiac Motion Tracking in Tagged MR Images Using a 4D B-spline Motion Model and Nonrigid Image Registration.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Consistent Groupwise Non-Rigid Registration for Atlas Construction.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Evaluation of Automatic 4D Face Recognition Using Surface and Texture Registration.
Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

2003
Automatic Construction of 3D Statistical Deformation Models of the Brain using Non-Rigid Registration.
IEEE Trans. Medical Imaging, 2003

Registration and tracking to integrate x-ray and MR images in an XMR facility.
IEEE Trans. Medical Imaging, 2003

Non-rigid Spatio-Temporal Alignment of 4D Cardiac MR Images.
Proceedings of the Biomedical Image Registration, Second International Workshop, 2003

Fast calculation of digitally reconstructed radiographs using light fields.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

Application of XMR 2D-3D Registration to Cardiac Interventional Guidance.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Segmentation of 4D Cardiac MR Images Using a Probabilistic Atlas and the EM Algorithm.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Analysis of Myocardial Motion and Strain Patterns Using a Cylindrical B-Spline Transformation Model.
Proceedings of the Surgery Simulation and Soft Tissue Modeling, International Symposium, 2003

Construction of a Statistical Model for Cardiac Motion Analysis Using Nonrigid Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2003

FPGA-based computation of free-form deformations in medical image registration.
Proceedings of the 2003 IEEE International Conference on Field-Programmable Technology, 2003

FPGA-Based Computation of Free-Form Deformations.
Proceedings of the Field Programmable Logic and Application, 13th International Conference, 2003

Construction of a Cardiac Motion Atlas From MR Using Non-rigid Registration.
Proceedings of the Functional Imaging and Modeling of the Heart, 2003

Spatio-temporal Alignment of 4D Cardiac MR Images.
Proceedings of the Functional Imaging and Modeling of the Heart, 2003

Automatic Construction of Biventricular Statistical Shape Models.
Proceedings of the Functional Imaging and Modeling of the Heart, 2003

2002
Automatic Construction of Multiple-object Three-dimensional Statistical Shape Models: Application to Cardiac Modelling.
IEEE Trans. Medical Imaging, 2002

Three-dimensional Cardiovascular Image Analysis.
IEEE Trans. Medical Imaging, 2002

Analysis of myocardial motion in tagged MR images using nonrigid image registration.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Automated camera calibration for image-guided surgery using intensity-based registration.
Proceedings of the Medical Imaging 2002: Visualization, 2002

Comparison of Cardiac Motion Across Subjects Using Non-rigid Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

A Dynamic Brain Atlas.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

Non-rigid registration of cardiac MR: application to motion modelling and atlas-based segmentation.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Automatic Construction of 3D Statistical Deformation Models: Application to Patients with Schizophrenia.
Proceedings of the Bildverarbeitung für die Medizin 2002: Algorithmen, 2002

VTK CISG Registration Toolkit: An Open Source Software Package for Affine and Nonrigid Registration of Single- and Multimodal 3D images.
Proceedings of the Bildverarbeitung für die Medizin 2002: Algorithmen, 2002

2001
Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration.
Proceedings of the Information Processing in Medical Imaging, 2001

2000
Non-rigid registration using higher-order mutual information.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Multiple 2D video/3D medical image registration algorithm.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

An Image Registration Approach to Automated Calibration for Freehand 3D Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

1999
Non-rigid Registration Using Free-form Deformations: Application to Breast MR Images.
IEEE Trans. Medical Imaging, 1999

Knowledge-based tensor anisotropic diffusion of cardiac magnetic resonance images.
Medical Image Anal., 1999

Comparison and evaluation of rigid and nonrigid registration of breast MR images.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

Registration of multiple video images to preoperative CT for image-guided surgery.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

1998
Investigation of intraoperative brain deformation using a 1.5 Tesla interventional MR system: Preliminary results.
IEEE Trans. Medical Imaging, 1998

Motion and deformation tracking for short-axis echo-planar myocardial perfusion imaging.
Medical Image Anal., 1998

Non-rigid Registration of Breast MR Images Using Mutual Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998

1997
Automatic Tracking of the Aorta in Cardiovascular MR Images Using Deformable Models.
IEEE Trans. Medical Imaging, 1997

Geometrically Deformable Templates for Shape-Based Segmentation and Tracking in Cardiac MR Images.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

Shape-based segmentation and tracking in 4D cardiac MR images.
Proceedings of the CVRMed-MRCAS'97, 1997

1996
Multiscale approach to contour fitting for MR images.
Proceedings of the Medical Imaging 1996: Image Processing, 1996

Knowledge-Based Anisotropic Diffusion of Vector-Valued 4-Dimensional Cardiac MR Images.
Proceedings of the British Machine Vision Conference 1996, 1996

1995
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