Mattias P. Heinrich

Affiliations:
  • University of Lübeck, Institute of Medical Informatics (IMI), Germany
  • University of Oxford, Institute of Biomedical Engineering, UK


According to our database1, Mattias P. Heinrich authored at least 161 papers between 2011 and 2024.

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Bibliography

2024
Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation.
CoRR, 2024

Combining Image- and Geometric-based Deep Learning for Shape Regression - Comparison to Pixel-level Methods for Segmentation in Chest X-ray.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstracting Volumetric Medical Images with Sparse Keypoints for Efficient Geometric Segmentation of Lung Fissures with a Graph CNN.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Displacement Representation for Conditional Point Cloud Registration - HeatReg Applied to 2D/3D Freehand Ultrasound Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Addressing the Bias of the Dice Coefficient - Semantic Segmentation of Peripheral Airways in Lung CT.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
Anatomy-guided domain adaptation for 3D in-bed human pose estimation.
Medical Image Anal., October, 2023

Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep learning-based methods.
J. Vis. Commun. Image Represent., September, 2023

Attention-augmented U-Net (AA-U-Net) for semantic segmentation.
Signal Image Video Process., June, 2023

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023

Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation.
Sensors, March, 2023

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023

DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation.
CoRR, 2023

Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding.
CoRR, 2023

Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge.
CoRR, 2023

Why is the winner the best?
CoRR, 2023

CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural Representations.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalised 3D Medical Image Registration with Learned Shape Encodings.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

Unsupervised 3D Registration Through Optimization-Guided Cyclical Self-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Denoised Mean Teacher for Domain Adaptive Point Cloud Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Why is the Winner the Best?
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Leveraging Semantic Information for Sonographic Wrist Fracture Assessment Within Children.
Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints.
Sensors, 2022

Semantic segmentation for plant phenotyping using advanced deep learning pipelines.
Multim. Tools Appl., 2022

Biomedical image analysis competitions: The state of current participation practice.
CoRR, 2022

Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy.
CoRR, 2022

Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students.
CoRR, 2022

Automatic Generation of Synthetic Colonoscopy Videos for Domain Randomization.
CoRR, 2022

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022

Multi-contrast computed tomography healthy kidney atlas.
Comput. Biol. Medicine, 2022

DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Weak Bounding Box Supervision for Image Registration Networks.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Realtime Optical Flow Estimation on Vein and Artery Ultrasound Sequences Based on Knowledge-Distillation.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Voxelmorph++ - Going Beyond the Cranial Vault with Keypoint Supervision and Multi-channel Instance Optimisation.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Bridging the domain gap for medical image segmentation with multimodal MIND features.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Opportunistic CT screening for degenerative deformities and osteoporotic fractures with 3D DeepLab.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Domain adaptation through anatomical constraints for 3d human pose estimation under the cover.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Learning Iterative Optimisation for Deformable Image Registration of Lung CT with Recurrent Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Adapting the Mean Teacher for Keypoint-Based Lung Registration Under Geometric Domain Shifts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

Employing ConvexAdam for BraTS-Reg.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

Iterative 3D CNN Based Segmentation of Vascular Trees in Liver CT.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Support Point Sets for Improving Contactless Interaction in Geometric Learning for Hand Pose Estimation.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Abstract: Light-weight Semantic Segmentation and Labelling of Vertebrae in 3D-CT Scans.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Spatiotemporal Attention for Realtime Segmentation of Corrupted Sequential Ultrasound Data - Improving Usability of AI-based Image Guidance.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

Learning an Airway Atlas from Lung CT Using Semantic Inter-patient Deformable Registration.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs.
IEEE Trans. Medical Imaging, 2021

Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning.
npj Digit. Medicine, 2021

Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration.
Medical Image Anal., 2021

Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation.
J. Biomed. Informatics, 2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021

Modality-agnostic self-supervised deep feature learning and fast instance optimisation for multimodal fusion in ultrasound-guided interventions.
Comput. Methods Programs Biomed., 2021

Seeing under the cover with a 3D U-Net: point cloud-based weight estimation of covered patients.
Int. J. Comput. Assist. Radiol. Surg., 2021

Development and characterization of a chest CT atlas.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Learning inverse consistent 3D groupwise registration with deforming autoencoders.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Construction of a multi-phase contrast computed tomography kidney atlas.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 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

Revisiting Iterative Highly Efficient Optimisation Schemes in Medical Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features?
Proceedings of the Information Processing in Medical Imaging, 2021

Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Semantically Guided 3D Abdominal Image Registration with Deep Pyramid Feature Learning.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Multi-modal Unsupervised Domain Adaptation for Deformable Registration Based on Maximum Classifier Discrepancy.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Abstract: Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg Challenge.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

End-to-end Learning of Body Weight Prediction from Point Clouds with Basis Point Sets.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition.
Proceedings of the International Conference on 3D Vision, 2021

2020
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge.
IEEE Trans. Medical Imaging, 2020

Semantically Guided Large Deformation Estimation with Deep Networks.
Sensors, 2020

Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies.
CoRR, 2020

Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings.
CoRR, 2020

Learning to map between ferns with differentiable binary embedding networks.
CoRR, 2020

Multimodal 3D medical image registration guided by shape encoder-decoder networks.
Int. J. Comput. Assist. Radiol. Surg., 2020

Weakly supervised pancreas segmentation based on class activation maps.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

Segmentation of retinal low-cost optical coherence tomography images using deep learning.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Deep Groupwise Registration of MRI Using Deforming Autoencoders.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Der Einfluss von Segmentierung auf die Genauigkeit eines CNN-Klassifikators zur Mimik-Steuerung.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: Segmentation of Retinal Low-Cost Optical Coherence Tomography Images Using Deep Learning.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: Defence of Mathematical Models for Deep Learning based Registration.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions.
IEEE Trans. Biomed. Eng., 2019

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Medical Image Anal., 2019

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

OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.
Medical Image Anal., 2019

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019

Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans.
Int. J. Comput. Assist. Radiol. Surg., 2019

Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room.
Int. J. Comput. Assist. Radiol. Surg., 2019

Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients.
Int. J. Comput. Assist. Radiol. Surg., 2019

Sparse Structured Prediction for Semantic Edge Detection in Medical Images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Learning interpretable multi-modal features for alignment with supervised iterative descent.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided Interventions.
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Abstract: Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

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

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

TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions.
Int. J. Comput. Assist. Radiol. Surg., 2018

Nearest neighbor 3D segmentation with context features.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Orientation regression in hand radiographs: a transfer learning approach.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

AutoDVT: Joint Real-Time Classification for Vein Compressibility Analysis in Deep Vein Thrombosis Ultrasound Diagnostics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Intra-operative Ultrasound to MRI Fusion with a Public Multimodal Discrete Registration Tool.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Multi-kernel Diffusion CNNs for Graph-Based Learning on Point Clouds.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Abstract: Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration.
IEEE Trans. Medical Imaging, 2017

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

Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging.
NeuroImage, 2017

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Medical Image Anal., 2017

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

MRI Whole Heart Segmentation Using Discrete Nonlinear Registration and Fast Non-local Fusion.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Shallow Fully-Connected Neural Networks for Ischemic Stroke-Lesion Segmentation in MRI.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Multi-Object Segmentation in Chest X-Ray Using Cascaded Regression Ferns.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Abstract: Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierung.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks.
IEEE Trans. Medical Imaging, 2016

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

Advances and challenges in deformable image registration: From image fusion to complex motion modelling.
Medical Image Anal., 2016

Deformable image registration by combining uncertainty estimates from supervoxel belief propagation.
Medical Image Anal., 2016

Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Memory Efficient LDDMM for Lung CT.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2016

Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Multi-Atlas Based Pseudo-CT Synthesis Using Multimodal Image Registration and Local Atlas Fusion Strategies.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization.
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

Multi-atlas Segmentation Using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-Similarities.
Proceedings of the VISCERAL Anatomy3 Organ Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015), 2015

2014
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration.
Medical Image Anal., 2014

Motion Correction of Intravital Microscopy of Preclinical Lung Tumour Imaging Using Multichannel Structural Image Descriptor.
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

Non-parametric Discrete Registration with Convex Optimisation.
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014

Multispectral Image Registration Based on Local Canonical Correlation Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

An MRF-Based Discrete Optimization Framework for Combined DCE-MRI Motion Correction and Pharmacokinetic Parameter Estimation.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013
MRF-Based Deformable Registration and Ventilation Estimation of Lung CT.
IEEE Trans. Medical Imaging, 2013

Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Rigid Registration of Untracked Freehand 2D Ultrasound Sweeps to 3D CT of Liver Tumours.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration.
Medical Image Anal., 2012

Globally Optimal Deformable Registration on a Minimum Spanning Tree Using Dense Displacement Sampling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Piecewise-diffeomorphic registration of 3D CT/MR pulmonary images with sliding conditions.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Textural mutual information based on cluster trees for multimodal deformable registration.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge.
IEEE Trans. Medical Imaging, 2011

Non-rigid image registration through efficient discrete optimization.
Proceedings of the Medical Image Understanding and Analysis, 2011

Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Motion Correction and Parameter Estimation in dceMRI Sequences: Application to Colorectal Cancer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011


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