Daniel Rueckert
Orcid: 0000-0002-5683-5889Affiliations:
- Imperial College London, UK
According to our database1,
Daniel Rueckert
authored at least 782 papers
between 1995 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2016, "For contributions to biomedical image computing".
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
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on doc.ic.ac.uk
On csauthors.net:
Bibliography
2024
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
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
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
IEEE Trans. Medical Imaging, January, 2024
Medical Image Anal., January, 2024
CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains.
CoRR, 2024
CoRR, 2024
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
CoRR, 2024
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling.
CoRR, 2024
On Discprecncies between Perturbation Evaluations of Graph Neural Network Attributions.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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
Medical Image Anal., October, 2023
ACM Trans. Priv. Secur., August, 2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.
IEEE Trans. Medical Imaging, April, 2023
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
CoRR, 2023
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection.
CoRR, 2023
CoRR, 2023
CoRR, 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023
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
CoRR, 2023
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure.
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
CoRR, 2023
CoRR, 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology.
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
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 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
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Shape in Medical Imaging - International Workshop, 2023
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
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
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
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
Proceedings of the Information Processing in Medical Imaging, 2023
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023
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
2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
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
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
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
Medical Image Anal., 2022
Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index.
J. Priv. Confidentiality, 2022
CoRR, 2022
A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images.
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
CoRR, 2022
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
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation.
CoRR, 2022
CoRR, 2022
SmoothNets: Optimizing CNN architecture design for differentially private deep learning.
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
CoRR, 2022
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
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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
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
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
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
Nat. Mach. Intell., 2021
CoRR, 2021
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration.
CoRR, 2021
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
CoRR, 2021
CoRR, 2021
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation.
CoRR, 2021
CoRR, 2021
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
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
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
Proceedings of the Machine Learning for Medical Image Reconstruction, 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
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021
2020
IEEE Trans. Medical Imaging, 2020
Nat. Mach. Intell., 2020
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments.
CoRR, 2020
CoRR, 2020
Efficient, high-performance pancreatic segmentation using multi-scale feature extraction.
CoRR, 2020
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR, 2020
CoRR, 2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020
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
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
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
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
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
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
Nat. Mach. Intell., 2019
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
Medical Image Anal., 2019
Medical Image Anal., 2019
Medical Image Anal., 2019
IET Image Process., 2019
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction.
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
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
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
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
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
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
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
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
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
IEEE J. Biomed. Health Informatics, 2018
Pattern Recognit., 2018
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies.
IEEE Trans. Pattern Anal. Mach. Intell., 2018
NeuroImage, 2018
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.
NeuroImage, 2018
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
CoRR, 2018
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
CoRR, 2018
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
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
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
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
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
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
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
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
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
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
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
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
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
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
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
Pattern Recognit., 2017
Pattern Recognit., 2017
Pattern Recognit., 2017
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
Medical Image Anal., 2017
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.
Medical Image Anal., 2017
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
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
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR, 2017
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
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
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
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
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
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
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
Medical Image Anal., 2016
J. Optim. Theory Appl., 2016
Image Vis. Comput., 2016
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks.
CoRR, 2016
Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound.
CoRR, 2016
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Simulation and Synthesis in Medical Imaging, 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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
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
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
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
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
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
Medical Image Anal., 2015
Medical Image Anal., 2015
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
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
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
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
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
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
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
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
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015
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
Proceedings of the Registration and Recognition in Images and Videos, 2014
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Medical Imaging, 2014
NeuroImage, 2014
NeuroImage, 2014
Manifold population modeling as a neuro-imaging biomarker: Application to ADNI and ADNI-GO.
NeuroImage, 2014
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
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
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
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
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
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
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
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
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
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
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
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
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
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
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
Proceedings of the Medical Imaging 2012: Image Processing, 2012
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012
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
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
Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease.
NeuroImage, 2011
NeuroImage, 2011
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
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
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
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
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
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
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
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
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
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
Identifying population differences in whole-brain structural networks: A machine learning approach.
NeuroImage, 2010
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
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
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010
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
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
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
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
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
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
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
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
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
NeuroImage, 2008
Automated morphological analysis of magnetic resonance brain imaging using spectral analysis.
NeuroImage, 2008
NeuroImage, 2008
Hierarchical statistical shape analysis and prediction of sub-cortical brain structures.
Medical Image Anal., 2008
Concurr. Comput. Pract. Exp., 2008
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
Proceedings of the Medical Imaging 2008: Visualization, 2008
Proceedings of the Medical Imaging 2008: Visualization, 2008
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
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
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the Computer Vision, 2008
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008
2007
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
NeuroImage, 2007
Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study.
NeuroImage, 2007
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Information Processing in Medical Imaging, 2007
2006
IEEE Trans. Medical Imaging, 2006
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
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
Proceedings of the Medical Imaging 2006: Image Processing, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
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
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
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
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
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005
2004
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
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
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
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
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
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
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
IEEE Trans. Medical Imaging, 2003
Proceedings of the Biomedical Image Registration, Second International Workshop, 2003
Proceedings of the Medical Imaging 2003: Image Processing, 2003
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
Proceedings of the 2003 IEEE International Conference on Field-Programmable Technology, 2003
Proceedings of the Field Programmable Logic and Application, 13th International Conference, 2003
Proceedings of the Functional Imaging and Modeling of the Heart, 2003
Proceedings of the Functional Imaging and Modeling of the Heart, 2003
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
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
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
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
Proceedings of the Medical Imaging 2000: Image Processing, 2000
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
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
Medical Image Anal., 1999
Proceedings of the Medical Imaging 1999: Image Processing, 1999
Proceedings of the Medical Imaging 1999: Image Processing, 1999
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998
1997
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
Proceedings of the CVRMed-MRCAS'97, 1997
1996
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
Proceedings of the British Machine Vision Conference, 1995