| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1010 | 2018 |
| Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 420 | 2018 |
| Automated cardiovascular magnetic resonance image analysis with fully convolutional networks W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ... Journal of Cardiovascular Magnetic Resonance 20 (1), 1-12, 2018 | 416 | 2018 |
| Deepcut: Object segmentation from bounding box annotations using convolutional neural networks M Rajchl, MCH Lee, O Oktay, K Kamnitsas, J Passerat-Palmbach, W Bai, ... IEEE transactions on medical imaging 36 (2), 674-683, 2016 | 304 | 2016 |
| Semi-supervised learning for network-based cardiac MR image segmentation W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ... International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 246 | 2017 |
| MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J De Bresser, ... Computational intelligence and neuroscience 2015, 2015 | 220 | 2015 |
| Right ventricle segmentation from cardiac MRI: a collation study C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ... Medical image analysis 19 (1), 187-202, 2015 | 207 | 2015 |
| Metric learning with spectral graph convolutions on brain connectivity networks SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert NeuroImage 169, 431-442, 2018 | 187 | 2018 |
| Distance metric learning using graph convolutional networks: Application to functional brain networks SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 146 | 2017 |
| Prostate Segmentation: An Efficient Convex Optimization Approach with Axial Symmetry Using 3D TRUS and MR Images W Qiu, J Yuan, E Ukwatta, Y Sun, M Rajchl, A Fenster IEEE Transactions on Medical Imaging 33 (4), 947 - 960, 2014 | 87 | 2014 |
| Implicit Weight Uncertainty in Neural Networks N Pawlowski, A Brock, MCH Lee, M Rajchl, B Glocker arXiv preprint arXiv:1711.01297, 2018 | 86 | 2018 |
| Active Cardiac Sarcoidosis: First Clinical Experience of Simultaneous Positron Emission Tomography–Magnetic Resonance Imaging for the Diagnosis of Cardiac Disease JA White, M Rajchl, J Butler, RT Thompson, FS Prato, G Wisenberg Circulation 127 (22), e639-e641, 2013 | 86 | 2013 |
| Accuracy and reproducibility of semi-automated late gadolinium enhancement quantification techniques in patients with hypertrophic cardiomyopathy Y Mikami, L Kolman, SX Joncas, J Stirrat, D Scholl, M Rajchl, CP Lydell, ... Journal of Cardiovascular Magnetic Resonance 16 (1), 1-9, 2014 | 84 | 2014 |
| Left Ventricle Segmentation in MRI via Convex Relaxed Distribution Matching C Nambakhsh, J Yuan, K Punithakumar, A Goela, M Rajchl, TM Peters, ... Medical Image Analysis 17 (8), 1010–-1024, 2013 | 78 | 2013 |
| Dltk: State of the art reference implementations for deep learning on medical images N Pawlowski, SI Ktena, MCH Lee, B Kainz, D Rueckert, B Glocker, ... arXiv preprint arXiv:1711.06853, 2017 | 76 | 2017 |
| Interactive Hierarchical Max-Flow Segmentation of Scar Tissue from Late-Enhancement Cardiac MR Images M Rajchl, J Yuan, J White, E Ukwatta, J Stirrat, C Nambakhsh, F Li, ... IEEE Transactions on Medical Imaging 33 (1), 159 - 172, 2014 | 74 | 2014 |
| Multi-modal learning from unpaired images: Application to multi-organ segmentation in CT and MRI VV Valindria, N Pawlowski, M Rajchl, I Lavdas, EO Aboagye, AG Rockall, ... 2018 IEEE winter conference on applications of computer vision (WACV), 547-556, 2018 | 73 | 2018 |
| Fast fully automatic segmentation of the human placenta from motion corrupted MRI A Alansary, K Kamnitsas, A Davidson, R Khlebnikov, M Rajchl, ... International conference on medical image computing and computer-assisted …, 2016 | 69 | 2016 |
| Stratified decision forests for accurate anatomical landmark localization in cardiac images O Oktay, W Bai, R Guerrero, M Rajchl, A de Marvao, DP O’Regan, ... IEEE transactions on medical imaging 36 (1), 332-342, 2016 | 64 | 2016 |
| Dual optimization based prostate zonal segmentation in 3D MR images W Qiu, J Yuan, E Ukwatta, Y Sun, M Rajchl, A Fenster Medical image analysis 18 (4), 660-673, 2014 | 61 | 2014 |
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
