A generic framework for privacy preserving deep learning T Ryffel, A Trask, M Dahl, B Wagner, J Mancuso, D Rueckert, ... arXiv preprint arXiv:1811.04017, 2018 | 482 | 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 | 466 | 2016 |
The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction A Makropoulos, EC Robinson, A Schuh, R Wright, S Fitzgibbon, J Bozek, ... Neuroimage 173, 88-112, 2018 | 434 | 2018 |
End-to-end privacy preserving deep learning on multi-institutional medical imaging G Kaissis, A Ziller, J Passerat-Palmbach, T Ryffel, D Usynin, A Trask, ... Nature Machine Intelligence 3 (6), 473-484, 2021 | 313 | 2021 |
Pysyft: A library for easy federated learning A Ziller, A Trask, A Lopardo, B Szymkow, B Wagner, E Bluemke, ... Federated Learning Systems: Towards Next-Generation AI, 111-139, 2021 | 190 | 2021 |
The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants SP Fitzgibbon, SJ Harrison, M Jenkinson, L Baxter, EC Robinson, ... NeuroImage 223, 117303, 2020 | 112 | 2020 |
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 | 79 | 2022 |
A blockchain-orchestrated federated learning architecture for healthcare consortia J Passerat-Palmbach, T Farnan, R Miller, MS Gross, HL Flannery, B Gleim arXiv preprint arXiv:1910.12603, 2019 | 68 | 2019 |
Blockchain-orchestrated machine learning for privacy preserving federated learning in electronic health data J Passerat-Palmbach, T Farnan, M McCoy, JD Harris, ST Manion, ... 2020 IEEE international conference on blockchain (Blockchain), 550-555, 2020 | 64 | 2020 |
Learning-based quality control for cardiac MR images G Tarroni, O Oktay, W Bai, A Schuh, H Suzuki, J Passerat-Palmbach, ... IEEE transactions on medical imaging 38 (5), 1127-1138, 2018 | 62 | 2018 |
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 | 62 | 2018 |
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 | 52 | 2020 |
Development of microstructural and morphological cortical profiles in the neonatal brain D Fenchel, R Dimitrova, J Seidlitz, EC Robinson, D Batalle, J Hutter, ... Cerebral Cortex 30 (11), 5767-5779, 2020 | 48 | 2020 |
Adversarial interference and its mitigations in privacy-preserving collaborative machine learning D Usynin, A Ziller, M Makowski, R Braren, D Rueckert, B Glocker, ... Nature Machine Intelligence 3 (9), 749-758, 2021 | 47 | 2021 |
Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain G Ball, J Seidlitz, J O¡¯Muircheartaigh, R Dimitrova, D Fenchel, ... PLoS biology 18 (11), e3000976, 2020 | 47 | 2020 |
Distribution of random streams for simulation practitioners DRC Hill, C Mazel, J Passerat‐Palmbach, MK Traore Concurrency and Computation: Practice and Experience 25 (10), 1427-1442, 2013 | 46 | 2013 |
Group-wise parcellation of the cortex through multi-scale spectral clustering S Parisot, S Arslan, J Passerat-Palmbach, WM Wells III, D Rueckert NeuroImage 136, 68-83, 2016 | 43 | 2016 |
Learning under distributed weak supervision M Rajchl, MCH Lee, F Schrans, A Davidson, J Passerat-Palmbach, ... arXiv preprint arXiv:1606.01100, 2016 | 36 | 2016 |
Multi-atlas segmentation using partially annotated data: methods and annotation strategies LM Koch, M Rajchl, W Bai, CF Baumgartner, T Tong, ... IEEE transactions on pattern analysis and machine intelligence 40 (7), 1683-1696, 2017 | 30 | 2017 |
The Developing Human Connectome: announcing the first release of open access neonatal brain imaging E Hughes, L Cordero-Grande, M Murgasova, J Hutter, A Price, ... Organization for Human Brain Mapp, 25-29, 2017 | 23 | 2017 |