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Jonathan Passerat-Palmbach

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 (https://arxiv.org/abs/1611.03363

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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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