Mattias P. Heinrich
Orcid: 0000-0002-7489-1972Affiliations:
- 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 170 papers
between 2011 and 2024.
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Bibliography
2024
AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning.
Sensors, April, 2024
Airway label prediction in video bronchoscopy: capturing temporal dependencies utilizing anatomical knowledge.
Int. J. Comput. Assist. Radiol. Surg., April, 2024
Shape Matters: Detecting Vertebral Fractures Using Differentiable Point-Based Shape Decoding.
Inf., February, 2024
DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation.
CoRR, 2024
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024
SINA: Sharp Implicit Neural Atlases by Joint Optimisation of Representation and Deformation.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
IM-MoCo: Self-supervised MRI Motion Correction Using Motion-Guided Implicit Neural Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Self-Supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 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
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
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
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
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Highly accurate deep registration networks for large deformation estimation in compression ultrasound.
Proceedings of the Medical Imaging 2023: Image Processing, 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
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
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
Multim. Tools Appl., 2022
CoRR, 2022
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students.
CoRR, 2022
CoRR, 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022
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
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
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
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
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
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
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
CoRR, 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
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
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
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
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
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
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
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
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
TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions.
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
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
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
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
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
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
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
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
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
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
Proceedings of the Biomedical Image Registration - 6th International Workshop, 2014
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
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
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