Mattias P. Heinrich
Mattias P. Heinrich
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Cited by
Attention u-net: Learning where to look for the pancreas
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999, 2018
Attention gated networks: Learning to leverage salient regions in medical images
J Schlemper, O Oktay, M Schaap, M Heinrich, B Kainz, B Glocker, ...
Medical image analysis 53, 197-207, 2019
Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation
O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ...
IEEE transactions on medical imaging 37 (2), 384-395, 2017
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
MP Heinrich, M Jenkinson, M Bhushan, T Matin, FV Gleeson, M Brady, ...
Medical image analysis 16 (7), 1423-1435, 2012
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ...
IEEE transactions on medical imaging 30 (11), 1901-1920, 2011
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
O Maier, BH Menze, J Von der Gablentz, L Häni, MP Heinrich, M Liebrand, ...
Medical image analysis 35, 250-269, 2017
MRF-based deformable registration and ventilation estimation of lung CT
MP Heinrich, M Jenkinson, SM Brady, JA Schnabel
IEEE Transaction on Medical Imaging 32 (7), 1239-48, 2013
Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge
X Zhuang, L Li, C Payer, D Štern, M Urschler, MP Heinrich, J Oster, ...
Medical image analysis 58, 101537, 2019
Towards realtime multimodal fusion for image-guided interventions using self-similarities
MP Heinrich, M Jenkinson, BW Papież, SM Brady, JA Schnabel
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013
Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks
O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ...
IEEE transactions on medical imaging 35 (11), 2459-2475, 2016
Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging
J Mollink, M Kleinnijenhuis, AMC van Walsum, SN Sotiropoulos, ...
Neuroimage 157, 561-574, 2017
ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI
S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ...
Frontiers in neurology 9, 679, 2018
Evaluation of six registration methods for the human abdomen on clinically acquired CT
Z Xu, CP Lee, MP Heinrich, M Modat, D Rueckert, S Ourselin, ...
IEEE Transactions on Biomedical Engineering 63 (8), 1563-1572, 2016
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ...
IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022
Estimation of large motion in lung CT by integrating regularized keypoint correspondences into dense deformable registration
J Rühaak, T Polzin, S Heldmann, IJA Simpson, H Handels, J Modersitzki, ...
IEEE transactions on medical imaging 36 (8), 1746-1757, 2017
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration
BW Papież, MP Heinrich, J Fehrenbach, L Risser, JA Schnabel
Medical image analysis 18 (8), 1299-1311, 2014
Closing the Gap between Deep and Conventional Image Registration using Probabilistic Dense Displacement Networks
MP Heinrich
MICCAI 2019, 1-9, 2019
OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions
MP Heinrich, O Oktay, N Bouteldja
Medical image analysis 54, 1-9, 2019
Deformable image registration by combining uncertainty estimates from supervoxel belief propagation
MP Heinrich, IJA Simpson, BŁW Papież, M Brady, JA Schnabel
Medical image analysis 27, 57-71, 2016
Stratified Decision Forests for Accurate Anatomical Landmark Localization
O Oktay, W Bai, R Guerrero, M Rajchl, A de Marvao, DO Regan, S Cook, ...
IEEE Transactions on Medical Imaging, 2016
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