Jonathan Passerat-Palmbach
Jonathan Passerat-Palmbach
Imperial College London, Flashbots
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Learning under distributed weak supervision
M Rajchl, MCH Lee, F Schrans, A Davidson, J Passerat-Palmbach, ...
arXiv preprint arXiv:1606.01100, 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
Tractography-driven groupwise multi-scale parcellation of the cortex
S Parisot, S Arslan, J Passerat-Palmbach, WM Wells, D Rueckert
Information Processing in Medical Imaging: 24th International Conference …, 2015
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