covers

The following list contains some of my most relevant publications. You can download my author's copy of most papers, but please do not distribute them without permission. In many cases, the presentation and/or poster of the work are also available. A complete list, including co-authored papers, with citation scores can be found at Google Scholar or DBLP.


2023

A. Bigalke, .., MP Heinrich:
Anatomy-guided domain adaptation for 3D in-bed human pose estimation (pdf Elsevier)
Medical Image Analysis2023

MP Heinrich, A. Bigalke, .. L. Hansen:
Chasing clouds: Differentiable volumetric rasterisation of point clouds .. for .. 3D registration GitHub Code
International Conference on Computer Vision ICCV oral 2023

A. Bigalke, L. Hansen, TCW. Mok, MP. Heinrich:
Unsupervised 3D registration through optimization-guided cyclical self-trainingGitHub Code
Medical Image Computing and Computer-Assisted Interventions MICCAI 2023

F. Falta, .., MP Heinrich:
Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration GitHub Page
Neural Information Processing Systems NeurIPS 2023

A. Hering, L Hansen, .. MP Heinrich:
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning pdf open access
IEEE Trans. Medical Imaging 2023

2021-2022

M. Blendowski, L. Hansen, MP Heinrich:
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D .. registration(pdf author)
Medical Image Analysis 2021

L Hansen, MP Heinrich:
GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints (pdf author)
IEEE Trans. Medical Imaging 2021

B. Kainz, MP Heinrich, ..:
Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning(pdf open access)
Nature pj Digital Medicine 2022

2020

IY Ha, M Wilms, MP Heinrich:
Semantically Guided Large Deformation Estimation with Deep Networks.(pdf open access)
Sensors 20(5): 1392 (2020)

2019

MP Heinrich, O Oktay, N Bouteldja:
OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions.
(pdf) Code pytorchMedical Image Anal. 54: 1-9 (2019)

MP Heinrich:
Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks.
(pdf arxiv) Code pytorch(tutorial slides)
MICCAI (6) 2019: 50-58

IY Ha, M Wilms, H Handels, MP Heinrich:
Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions.
IEEE Trans. Biomed. Engineering 66(2): 302-310 (2019)

M Blendowski, H Nickisch, MP Heinrich:
How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning. (pdf)(code pytorch)
MICCAI (6) 2019: 649-657

M Blendowski, MP Heinrich:
Learning interpretable multi-modal features for alignment with supervised iterative descent. (pdf)
MIDL 2019: 73-83

L Hansen, MP Heinrich:
Sparse Structured Prediction for Semantic Edge Detection in Medical Images.
MIDL 2019: 250-259

M Blendowski, N Bouteldja, MP. Heinrich:
Multimodal 3D medical image registration guided by shape encoder-decoder networks.
Int. J. Comput. Assist. Radiol. Surg. 15(2): 269-276 (2020)

M Blendowski, MP Heinrich:
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. 14(1): 43-52 (2019)

J Schlemper, O Oktay, M Schaap, MP Heinrich, B Kainz, B Glocker, D Rueckert:
Attention gated networks: Learning to leverage salient regions in medical images.
Medical Image Anal. 53: 197-207 (2019)

2018

MP Heinrich, M Blendowski, O Oktay:
TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions.(pdf arxiv) (code pytorch)
Int. J. Comput. Assist. Radiol. Surg. 13(9): 1311-1320 (2018)

O Oktay, E Ferrante, K Kamnitsas, MP Heinrich, .., D Rueckert:
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Trans. Med. Imaging 37(2): 384-395 (2018)

2017

O Oktay, W Bai, R Guerrero, M Rajchl, A de Marvao, DO Regan, S Cook, MP Heinrich, B Glocker, D Rueckert:
Stratified Decision Forests for Accurate Anatomical Landmark Localization
IEEE Transactions on Medical Imaging vol. 36(1): 332-342 (2017)

O Maier, BH Menze, J von der Gablentz, L Häni, MP Heinrich, M Liebrand, et al.:
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Medical image analysis. vol. 35, 250-269

J Rühaak, T Polzin, S Heldmann, IJA Simpson, H Handels, J Modersitzki, MP Heinrich:
Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration.(pdf arxiv)
IEEE Trans. Med. Imaging 36(8): 1746-1757 (2017)

2016

Z Xu, C Lee, MP Heinrich, M Modat, D Rueckert, Ourselin S, R Abramson, and B Landman:
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT at IEEE TBME
IEEE Transactions on Biomedical Engineering. vol. 27 (2016): 57-71
Code deedsRegSSC Details on the parameter settings of deeds for abdominal segmentation can be found in the following short paper (pdf) and presentation (talk)

JA Schnabel, MP Heinrich, BW Papiez, M Brady:
Advances and Challenges in Deformable Image Registration: From Image Fusion to Complex Motion Modelling (link to Elsevier)
Medical Image Analysis. vol. 33: 145-148 20th Anniversary Issue

MP Heinrich, IJA Simpson, BW Papiez, M Brady, JA Schnabel:
Deformable image registration by combining uncertainty estimates from supervoxel belief propagation(link to Elsevier) Code is coming soon
Medical Image Analysis. vol. 27 (2016): 57-71

O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ..., MP Heinrich, et al.:
Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks
IEEE Transactions on Medical Imaging. vol. 35 (11), 2459-2475

MP Heinrich, M Blendowski.
Multi-Organ Segmentation using Vantage Point Forests and Binary Context Features (pdf) Code Matlab/Mex Zip
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016. LNCS Springer (2016)

M Wilms, IY Ha, H Handels, MP Heinrich.
Model-based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-guided Interventions Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016. LNCS Springer (2016)

T Polzin, M Niethammer, MP Heinrich, H Handels, J Modersitzki.
Memory Efficient LDDMM for Lung CT
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016. LNCS Springer (2016)

J Degen, MP Heinrich:
Multi-Atlas Based Pseudo-CT Synthesis Using Multimodal Image Registration and Local Atlas Fusion Strategies (pdf)
Workshop on Biomedical Image Registration (WBIR) at CVPR 2016.

MP Heinrich, O Oktay:
Accurate Intervertebral Disc Localisation and Segmentation in MRI using Vantage Point Hough Forests and Multi-Atlas Fusion (pdf)
Workshop and Challenge on "Computational Methods and Clinical Applications for Spine Imaging" CSI MICCAI 2016.

2015

MP Heinrich, H Handels, IJA Simpson.
Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields (pdf) Code corrField (poster) (short oral)
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015. LNCS Springer (2015)

O Oktay, A Schuh, M Rajchl, K Keraudren, A Gomez, MP Heinrich, G Penney, D Rueckert
Structured decision forests for multi-modal ultrasound image registration
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015. LNCS Springer (2015)

BW Papież, J Franklin, MP Heinrich, FV Gleeson, JA Schnabel
Liver motion estimation via locally adaptive over-segmentation regularization
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2015. LNCS Springer (2015)

J Degen, J Modersitzki, MP Heinrich
Dimensionality reduction of medical image descriptors for multimodal image registration
Current Directions in Biomedical Engineering 1 (1), 201-205

MP Heinrich, M Wilms, H Handels:
Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression (pdf) Code NNLSfusion talk
1st International Workshop on Patch-based Techniques in Medical Imaging ("Patch-MI") MICCAI 2015.

MP Heinrich, O Maier, H Handels
Multi-modal Multi-Atlas Segmentation using Discrete Optimisation and Self-Similarities.
VISCERAL Challenge@ ISBI, 27-30

2014

BW Papież, MP Heinrich, J Fehrenbach, L Risser, JA Schnabel
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration
Medical image analysis 18 (8), 1299-1311

MP Heinrich, BW Papiez, JA Schnabel, H Handels.
Multispectral Image Registration Based on Local Canonical Correlation Analysis (pdf) Code LCCA
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2014. LNCS Springer (2014)

MP Heinrich, BW Papiez, JA Schnabel, H Handels.
Non-Parametric Discrete Registration with Convex Optimisation (pdf) Code WBIR talk
6th International Workshop on Biomedical Image Registration ("WBIR") 2014.

2011 - 2013

MP Heinrich, M Jenkinson, M Brady, JA Schnabel.
MRF-based Deformable Registration and Ventilation Estimation of Lung CT. (pdf) deedsRegSSC
IEEE Transaction on Medical Imaging. vol. 32(7) 2013, pp. 1239-1248

MP Heinrich, M Jenkinson, M Bhushan, T Matin, F Gleeson, M Brady, JA Schnabel.
MIND: Modality Independent Neighbourhood Descriptor for Multi-modal Deformable Registration (pdf) Code MIND/SSC Code SymGN-MIND Medical Image Analysis. vol. 16(7) 2012, pp. 1423–1435

K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ..., MP Heinrich, et al.:
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
IEEE transactions on medical imaging. vol. 30 (11), 1901-1920

MP Heinrich, M Jenkinson, FV Gleeson, M Brady, JA Schnabel.
Deformable Multimodal Registration with Gradient Orientation based on Structure Tensors (pdf)
Annals of the British Machine Vision Association. 2011(1) 1-11

MP Heinrich, M Jenkinson, BW Papiez, M Brady, JA Schnabel.
Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities (pdf) Code deedsRegSSC Code SSC-descr.
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2013. LNCS 8149, pp. 187-194 Springer (2013) (poster)

MP Heinrich, M Jenkinson, BW Papiez, FV Gleeson, M Brady, JA Schnabel.
Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes (pdf)
Information Processing in Medical Imaging (IPMI) 2013. LNCS 7917, pp. 463-474, Springer (2013) (oral presentation)

MP Heinrich, M Jenkinson, M Brady, JA Schnabel.
Globally Optimal Registration on a Minimum Spanning Tree using Dense Displacement Sampling (pdf)
Code deedsRegSSC
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2012. LNCS 7512, pp. 115-122. Springer (2012) (poster)

MP Heinrich, M Jenkinson, M Bhushan, T Matin, F Gleeson, M Brady, JA Schnabel.
Non-Local Shape Descriptor: A New Similarity Metric for Deformable Multimodal Registration (pdf)
In: Medical Image Computing and Computer Assisted Intervention (MICCAI) 2011. LNCS 6892, pp. 541-548. Springer (2011) (oral presentation, MICCAI Young Scientist Award)

MP Heinrich, IJ Simpson, M Jenkinson, M Brady, JA Schnabel.
Uncertainty Estimates for Improved Accuracy of Registration-Based Segmentation Propagation using Discrete Optimisation (pdf)
MICCAI Challenge Workshop on Segmentation: Algorithms, Theory and Applications ("SATA") 2013.

MP Heinrich, IJ Simpson, M Brady, JA Schnabel.
Multi-Atlas Segmentation Propagation with Uncertainty Estimates from Belief Propagation (pdf)
MICCAI Challenge Workshop on Segmentation: Algorithms, Theory and Applications ("SATA") 2013.

MP Heinrich, M Jenkinson, M Brady, JA Schnabel.
Textural Mutual Information based on Cluster Trees for Multimodal Deformable Registration (pdf)
IEEE International Symposium on Biomedical Imaging (ISBI) 2012.

MP Heinrich, M Jenkinson, M Brady, JA Schnabel.
Non-Rigid Image Registration through Efficient Discrete Optimization (pdf)
Medical Image Analysis and Understanding (MIUA) 2011. (oral presentation, Philips Healthcare Prize)

MP Heinrich, M Jenkinson, M Brady, JA Schnabel.
Discontinuity Preserving Regularization for Variational Optical-Flow Registration using the Modified Lp Norm (pdf)
MICCAI Workshop on Evaluation of Methods for Pulmonary Image Registration 2010.