| 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 | 7414 | 2018 |
| 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 | 2292 | 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 | 596 | 2018 |
| Attention u-net: Learning where to look for the pancreas. arXiv O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999 10, 2018 | 473 | 2018 |
| Attention u-net: learning where to look for the pancreas (2018) O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999, 1804 | 278 | 1804 |
| Deeplpf: Deep local parametric filters for image enhancement S Moran, P Marza, S McDonagh, S Parisot, G Slabaugh Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 263 | 2020 |
| NTIRE 2022 challenge on perceptual image quality assessment J Gu, H Cai, C Dong, JS Ren, R Timofte, Y Gong, S Lao, S Shi, J Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 118 | 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 | 97 | 2018 |
| Unsupervised lesion detection in brain CT using bayesian convolutional autoencoders N Pawlowski, MCH Lee, M Rajchl, S McDonagh, E Ferrante, K Kamnitsas, ... | 83 | 2018 |
| Adaptive polynomial rendering B Moon, S McDonagh, K Mitchell, M Gross ACM Transactions on Graphics (TOG) 35 (4), 1-10, 2016 | 71 | 2016 |
| Laminar and dorsoventral molecular organization of the medial entorhinal cortex revealed by large-scale anatomical analysis of gene expression HL Ramsden, G Sürmeli, SG McDonagh, MF Nolan PLoS computational biology 11 (1), e1004032, 2015 | 70 | 2015 |
| 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 | 69 | 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 | 69 | 2017 |
| Curl: Neural curve layers for global image enhancement S Moran, S McDonagh, G Slabaugh 2020 25th International Conference on Pattern Recognition (ICPR), 9796-9803, 2021 | 66 | 2021 |
| A multi-hypothesis approach to color constancy D Hernandez-Juarez, S Parisot, B Busam, A Leonardis, G Slabaugh, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 62 | 2020 |
| 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 | 57 | 2017 |
| PVR: patch-to-volume reconstruction for large area motion correction of fetal MRI A Alansary, M Rajchl, SG McDonagh, M Murgasova, M Damodaram, ... IEEE transactions on medical imaging 36 (10), 2031-2044, 2017 | 56 | 2017 |
| Clad: A realistic continual learning benchmark for autonomous driving E Verwimp, K Yang, S Parisot, L Hong, S McDonagh, E Pérez-Pellitero, ... Neural Networks 161, 659-669, 2023 | 53 | 2023 |
| On the out-of-distribution generalization of probabilistic image modelling M Zhang, A Zhang, S McDonagh Advances in Neural Information Processing Systems 34, 3811-3823, 2021 | 48 | 2021 |
| Low light video enhancement using synthetic data produced with an intermediate domain mapping D Triantafyllidou, S Moran, S McDonagh, S Parisot, G Slabaugh Computer vision–ECCV 2020: 16th European conference, glasgow, UK, August 23 …, 2020 | 48 | 2020 |
Daniel RueckertTechnical University of Munich and Imperial College Londonایمیل تأیید شده در tum.de
