| Interactive medical image segmentation using deep learning with image-specific fine tuning G Wang, W Li, MA Zuluaga, R Pratt, PA Patel, M Aertsen, T Doel, ... IEEE transactions on medical imaging 37 (7), 1562-1573, 2018 | 908 | 2018 |
| Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks G Wang, W Li, M Aertsen, J Deprest, S Ourselin, T Vercauteren Neurocomputing 338, 34-45, 2019 | 631 | 2019 |
| CA-Net: Comprehensive attention convolutional neural networks for explainable medical image segmentation R Gu, G Wang, T Song, R Huang, M Aertsen, J Deprest, S Ourselin, ... IEEE transactions on medical imaging 40 (2), 699-711, 2020 | 542 | 2020 |
| DeepIGeoS: a deep interactive geodesic framework for medical image segmentation G Wang, MA Zuluaga, W Li, R Pratt, PA Patel, M Aertsen, T Doel, ... IEEE transactions on pattern analysis and machine intelligence 41 (7), 1559-1572, 2018 | 466 | 2018 |
| An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI M Ebner, G Wang, W Li, M Aertsen, PA Patel, R Aughwane, A Melbourne, ... NeuroImage 206, 116324, 2020 | 250 | 2020 |
| MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning X Luo, G Wang, T Song, J Zhang, M Aertsen, J Deprest, S Ourselin, ... Medical image analysis 72, 102102, 2021 | 106 | 2021 |
| Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views G Wang, MA Zuluaga, R Pratt, M Aertsen, T Doel, M Klusmann, AL David, ... Medical image analysis 34, 137-147, 2016 | 86 | 2016 |
| GIFT-Cloud: A data sharing and collaboration platform for medical imaging research T Doel, DI Shakir, R Pratt, M Aertsen, J Moggridge, E Bellon, AL David, ... computer methods and programs in biomedicine 139, 181-190, 2017 | 74 | 2017 |
| An automated localization, segmentation and reconstruction framework for fetal brain MRI M Ebner, G Wang, W Li, M Aertsen, PA Patel, R Aughwane, A Melbourne, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 57 | 2018 |
| Fetal endoscopic tracheal occlusion reverses the natural history of right‐sided congenital diaphragmatic hernia: European multicenter experience FM Russo, AG Cordier, D Basurto, L Salazar, E Litwinska, O Gomez, ... Ultrasound in Obstetrics & Gynecology 57 (3), 378-385, 2021 | 46 | 2021 |
| Parenchymal volumetric assessment as a predictive tool to determine renal function benefit of nephron-sparing surgery compared with radical nephrectomy MA Liss, R DeConde, D Caovan, J Hofler, M Gabe, KL Palazzi, ND Patel, ... Journal of Endourology 30 (1), 114-121, 2016 | 43 | 2016 |
| Uncertainty-guided efficient interactive refinement of fetal brain segmentation from stacks of MRI slices G Wang, M Aertsen, J Deprest, S Ourselin, T Vercauteren, S Zhang Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 37 | 2020 |
| Label-set loss functions for partial supervision: application to fetal brain 3D MRI parcellation L Fidon, M Aertsen, D Emam, N Mufti, F Guffens, T Deprest, P Demaerel, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 36* | 2021 |
| Fetal MRI for dummies: what the fetal medicine specialist should know about acquisitions and sequences M Aertsen, MC Diogo, S Dymarkowski, J Deprest, D Prayer Prenatal diagnosis 40 (1), 6-17, 2020 | 34 | 2020 |
| Fetal brain tissue annotation and segmentation challenge results K Payette, HB Li, P de Dumast, R Licandro, H Ji, MMR Siddiquee, D Xu, ... Medical image analysis 88, 102833, 2023 | 33 | 2023 |
| MRI characteristics of pediatric renal tumors: a SIOP‐RTSG Radiology Panel Delphi Study JN van der Beek, TA Watson, RAJ Nievelstein, HJ Brisse, C Morosi, ... Journal of Magnetic Resonance Imaging 55 (2), 543-552, 2022 | 33 | 2022 |
| Slic-Seg: slice-by-slice segmentation propagation of the placenta in fetal MRI using one-plane scribbles and online learning G Wang, MA Zuluaga, R Pratt, M Aertsen, AL David, J Deprest, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 33 | 2015 |
| Reliability of MR imaging–based posterior fossa and brain stem measurements in open spinal dysraphism in the era of fetal surgery M Aertsen, J Verduyckt, F De Keyzer, T Vercauteren, F Van Calenbergh, ... American Journal of Neuroradiology 40 (1), 191-198, 2019 | 32 | 2019 |
| Test-time augmentation with uncertainty estimation for deep learning-based medical image segmentation G Wang, W Li, M Aertsen, J Deprest, S Ourselin, T Vercauteren | 32 | 2018 |
| Distributionally robust segmentation of abnormal fetal brain 3D MRI L Fidon, M Aertsen, N Mufti, T Deprest, D Emam, F Guffens, E Schwartz, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 27 | 2021 |
