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Jonathan Passerat-Palmbach

Distributed Machine Learning and the Semblance of Trust

Dec 21, 2021
Dmitrii Usynin, Alexander Ziller, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis

* Accepted at The Third AAAI Workshop on Privacy-Preserving Artificial Intelligence 

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FedRAD: Federated Robust Adaptive Distillation

Dec 02, 2021
Stefán Páll Sturluson, Samuel Trew, Luis Muñoz-González, Matei Grama, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary

* Accepted for 1st NeurIPS Workshop on New Frontiers in Federated Learning (NFFL 2021), Virtual Meeting 

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Statistical Privacy Guarantees of Machine Learning Preprocessing Techniques

Sep 06, 2021
Ashly Lau, Jonathan Passerat-Palmbach

* Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop 

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Privacy-preserving medical image analysis

Dec 10, 2020
Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Da Lima Costa Junior, Jason Mancuso, Marcus Makowski, Daniel Rueckert, Rickmer Braren, Georgios Kaissis

* Accepted at the workshop for Medical Imaging meets NeurIPS, 34th Conference on Neural Information Processing Systems (NeurIPS) December 11, 2020 

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2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments

Nov 15, 2020
Harry Cai, Daniel Rueckert, Jonathan Passerat-Palmbach

* IEEE 2nd International Workshop on Advances in Artificial Intelligence for Blockchain (AIChain 2020) 

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A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification

Nov 11, 2020
Veneta Haralampieva, Daniel Rueckert, Jonathan Passerat-Palmbach

* PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice 

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A blockchain-orchestrated Federated Learning architecture for healthcare consortia

Oct 12, 2019
Jonathan Passerat-Palmbach, Tyler Farnan, Robert Miller, Marielle S. Gross, Heather Leigh Flannery, Bill Gleim

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A generic framework for privacy preserving deep learning

Nov 13, 2018
Theo Ryffel, Andrew Trask, Morten Dahl, Bobby Wagner, Jason Mancuso, Daniel Rueckert, Jonathan Passerat-Palmbach

* PPML 2018, 5 pages 

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Learning-Based Quality Control for Cardiac MR Images

Sep 15, 2018
Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O'Regan, Stuart Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert

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Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

Jun 08, 2018
Amir Alansary, Loic Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert

* Accepted for MICCAI2018 

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Employing Weak Annotations for Medical Image Analysis Problems

Aug 21, 2017
Martin Rajchl, Lisa M. Koch, Christian Ledig, Jonathan Passerat-Palmbach, Kazunari Misawa, Kensaku Mori, Daniel Rueckert

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Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016

Nov 24, 2016
Sarah Parisot, Jonathan Passerat-Palmbach, Markus D. Schirmer, Boris Gutman

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Comparison of Brain Networks with Unknown Correspondences

Nov 15, 2016
Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert

* Presented at The MICCAI-BACON 16 Workshop (

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DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks

Jun 05, 2016
Martin Rajchl, Matthew C. H. Lee, Ozan Oktay, Konstantinos Kamnitsas, Jonathan Passerat-Palmbach, Wenjia Bai, Mellisa Damodaram, Mary A. Rutherford, Joseph V. Hajnal, Bernhard Kainz, Daniel Rueckert

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Learning under Distributed Weak Supervision

Jun 03, 2016
Martin Rajchl, Matthew C. H. Lee, Franklin Schrans, Alice Davidson, Jonathan Passerat-Palmbach, Giacomo Tarroni, Amir Alansary, Ozan Oktay, Bernhard Kainz, Daniel Rueckert

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Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies

Apr 29, 2016
Lisa M. Koch, Martin Rajchl, Wenjia Bai, Christian F. Baumgartner, Tong Tong, Jonathan Passerat-Palmbach, Paul Aljabar, Daniel Rueckert

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