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Daniel Rueckert

Institute for Artificial Intelligence and Data Science in Medicine and Healthcare, Technical University of Munich, Munich, Germany, Department of Computing, Imperial College London, London, United Kingdom

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation


Mar 05, 2021
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni


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Personalized Federated Deep Learning for Pain Estimation From Face Images


Jan 12, 2021
Ognjen Rudovic, Nicolas Tobis, Sebastian Kaltwang, Björn Schuller, Daniel Rueckert, Jeffrey F. Cohn, Rosalind W. Picard

* 12 pages, 6 figures 

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Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image Reconstruction


Dec 22, 2020
Chen Qin, Jinming Duan, Kerstin Hammernik, Jo Schlemper, Thomas Küstner, René Botnar, Claudia Prieto, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert

* In submission 

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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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Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs


Nov 30, 2020
Seoin Chai, Daniel Rueckert, Ahmed E. Fetit


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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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Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging


Oct 30, 2020
Qingjie Meng, Jacqueline Matthew, Veronika A. Zimmer, Alberto Gomez, David F. A. Lloyd, Daniel Rueckert, Bernhard Kainz

* arXiv admin note: substantial text overlap with arXiv:2003.00321 

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Patch-based Brain Age Estimation from MR Images


Oct 01, 2020
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Arinbjörn Kolbeinsson, Alexander Hammers, Daniel Rueckert

* Accepted (oral) at the MLCN workshop, MICCAI 2020 

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Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography


Sep 28, 2020
Osama N. Hassan, Serhat Sahin, Vahid Mohammadzadeh, Xiaohe Yang, Navid Amini, Apoorva Mylavarapu, Jack Martinyan, Tae Hong, Golnoush Mahmoudinezhad, Daniel Rueckert, Kouros Nouri-Mahdavi, Fabien Scalzo


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Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images


Sep 27, 2020
Guy Leroy, Daniel Rueckert, Amir Alansary

* Accepted for the MLCN workshop, MICCAI 2020 

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Efficient, high-performance pancreatic segmentation using multi-scale feature extraction


Sep 02, 2020
Moritz Knolle, Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Daniel Sasse, Marcus Makowski, Daniel Rueckert, Rickmer Braren


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Causal Future Prediction in a Minkowski Space-Time


Aug 30, 2020
Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz

* Includes supplement 

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Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment


Aug 19, 2020
Qingjie Meng, Daniel Rueckert, Bernhard Kainz


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Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening


Aug 18, 2020
Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz


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Automated Detection of Congenital HeartDisease in Fetal Ultrasound Screening


Aug 16, 2020
Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz


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Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface


Aug 13, 2020
Vitalis Vosylius, Andy Wang, Cemlyn Waters, Alexey Zakharov, Francis Ward, Loic Le Folgoc, John Cupitt, Antonios Makropoulos, Andreas Schuh, Daniel Rueckert, Amir Alansary


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A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises


Aug 02, 2020
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers

* 19 pages, 7 figures 

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Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation


Jul 20, 2020
Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

* Accepted by ECCV2020 

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Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction


Jul 12, 2020
Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M Summers, Daniel Rueckert

* Presented at 2020 ISMRM Conference & Exhibition (Abstract #4958) 

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Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction


Jul 09, 2020
Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King

* MICCAI 2020 conference 

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Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI


Jul 04, 2020
Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert

* The paper is early accepted by MICCAI 2020 

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Deep Generative Model-based Quality Control for Cardiac MRI Segmentation


Jun 23, 2020
Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai

* The paper is accepted to MICCAI 2020 

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Realistic Adversarial Data Augmentation for MR Image Segmentation


Jun 23, 2020
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

* 13 pages. This paper is accepted to MICCAI 2020 

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3D Probabilistic Segmentation and Volumetry from 2D projection images


Jun 23, 2020
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz


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Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge


Jun 22, 2020
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Victor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant RaviKumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li

* 14 pages 

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