| 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 (1), 813696, 2015 | 288 | 2015 |
| Evaluating reinforcement learning agents for anatomical landmark detection A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ... Medical image analysis 53, 156-164, 2019 | 201 | 2019 |
| Infant brain extraction in T1-weighted MR images using BET and refinement using LCDG and MGRF models A Alansary, M Ismail, A Soliman, F Khalifa, M Nitzken, A Elnakib, ... IEEE journal of biomedical and health informatics 20 (3), 925-935, 2015 | 101 | 2015 |
| The developing human connectome project neonatal data release AD Edwards, D Rueckert, SM Smith, S Abo Seada, A Alansary, J Almalbis, ... Frontiers in neuroscience 16, 886772, 2022 | 95 | 2022 |
| 3-D reconstruction in canonical co-ordinate space from arbitrarily oriented 2-D images B Hou, B Khanal, A Alansary, S McDonagh, A Davidson, M Rutherford, ... IEEE transactions on medical imaging 37 (8), 1737-1750, 2018 | 93 | 2018 |
| Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI A Alansary, K Kamnitsas, A Davidson, R Khlebnikov, M Rajchl, ... 19th International Conference on Medical Image Computing and Computer …, 2016 | 92 | 2016 |
| Multiple landmark detection using multi-agent reinforcement learning A Vlontzos, A Alansary, K Kamnitsas, D Rueckert, B Kainz Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 77 | 2019 |
| Standard plane detection in 3d fetal ultrasound using an iterative transformation network Y Li, B Khanal, B Hou, A Alansary, JJ Cerrolaza, M Sinclair, J Matthew, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 67 | 2018 |
| Predicting slice-to-volume transformation in presence of arbitrary subject motion B Hou, A Alansary, S McDonagh, A Davidson, M Rutherford, JV Hajnal, ... Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 65 | 2017 |
| Automatic view planning with multi-scale deep reinforcement learning agents A Alansary, LL Folgoc, G Vaillant, O Oktay, Y Li, W Bai, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 64 | 2018 |
| Computer-aided diagnosis systems for acute renal transplant rejection: Challenges and methodologies M Mostapha, F Khalifa, A Alansary, A Soliman, J Suri, AS El-Baz Abdomen and Thoracic Imaging: An Engineering & Clinical Perspective, 1-35, 2014 | 62 | 2014 |
| Robust aggregation for adaptive privacy preserving federated learning in healthcare M Grama, M Musat, L Muñoz-González, J Passerat-Palmbach, D Rueckert, ... arXiv preprint arXiv:2009.08294, 2020 | 59 | 2020 |
| PVR: Patch-to-volume Reconstruction for large area motion correction of fetal MRI A Alansary, B Kainz, M Rajchl, M Murgasova, M Damodaram, DFA Lloyd, ... IEEE Transactions on Medical Imaging 36 (10), 2031 - 2044, 2017 | 56 | 2017 |
| Context-sensitive super-resolution for fast fetal magnetic resonance imaging S McDonagh, B Hou, A Alansary, O Oktay, K Kamnitsas, M Rutherford, ... Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and …, 2017 | 56 | 2017 |
| Fast multiple landmark localisation using a patch-based iterative network Y Li, A Alansary, JJ Cerrolaza, B Khanal, M Sinclair, J Matthew, C Gupta, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 47 | 2018 |
| Computing CNN loss and gradients for pose estimation with Riemannian geometry B Hou, N Miolane, B Khanal, MCH Lee, A Alansary, S McDonagh, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 38 | 2018 |
| A statistical framework for the classification of infant DT images M Mostapha, A Soliman, F Khalifa, A Elnakib, A Alansary, M Nitzken, ... 2014 IEEE International Conference on Image Processing (ICIP), 2222-2226, 2014 | 38 | 2014 |
| Learning under distributed weak supervision M Rajchl, MCH Lee, F Schrans, A Davidson, J Passerat-Palmbach, ... arXiv preprint arXiv:1606.01100, 2016 | 37 | 2016 |
| PialNN: a fast deep learning framework for cortical pial surface reconstruction Q Ma, EC Robinson, B Kainz, D Rueckert, A Alansary Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN …, 2021 | 35 | 2021 |
| Cortexode: Learning cortical surface reconstruction by neural odes Q Ma, L Li, EC Robinson, B Kainz, D Rueckert, A Alansary IEEE Transactions on Medical Imaging 42 (2), 430-443, 2022 | 34 | 2022 |
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
