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Daniel Rueckert

Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity


Sep 07, 2021
Simon Dahan, Logan Z. J. Williams, Daniel Rueckert, Emma C. Robinson

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* MLCN 2021 
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PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction


Sep 06, 2021
Qiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary

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* Accepted in The 4th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN2021) 
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Voxel-level Importance Maps for Interpretable Brain Age Estimation


Aug 11, 2021
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert

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* Accepted at iMIMIC, MICCAI 2021 
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NeuralDP Differentially private neural networks by design


Aug 10, 2021
Moritz Knolle, Dmitrii Usynin, Alexander Ziller, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis

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* Paper withdrawn. The paper contains a factual error 
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Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation


Aug 07, 2021
Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

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* Under review. 17 pages 
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Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty


Aug 04, 2021
Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis

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* Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop 
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Transductive image segmentation: Self-training and effect of uncertainty estimation


Aug 02, 2021
Konstantinos Kamnitsas, Stefan Winzeck, Evgenios N. Kornaropoulos, Daniel Whitehouse, Cameron Englman, Poe Phyu, Norman Pao, David K. Menon, Daniel Rueckert, Tilak Das, Virginia F. J. Newcombe, Ben Glocker

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* Published at Domain Adaptation and Representation Transfer (DART) wshop at MICCAI 2021. This version improves methods' names and adds 1 experiment in Tab.3a 
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Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation


Jul 16, 2021
Nicolo Savioli, Antonio de Marvao, Wenjia Bai, Shuo Wang, Stuart A. Cook, Calvin W. L. Chin, Daniel Rueckert, Declan P. O'Regan

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Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty


Jul 09, 2021
Moritz Knolle, Alexander Ziller, Dmitrii Usynin, Rickmer Braren, Marcus R. Makowski, Daniel Rueckert, Georgios Kaissis

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* Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop 
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Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation


Jul 09, 2021
Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Kritika Prakash, Andrew Trask, Rickmer Braren, Marcus Makowski, Daniel Rueckert, Georgios Kaissis

* Accepted to the ICML 2021 Theory and Practice of Differential Privacy Workshop 
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Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation


Jul 08, 2021
Shuo Wang, Chen Qin, Nicolo Savioli, Chen Chen, Declan O'Regan, Stuart Cook, Yike Guo, Daniel Rueckert, Wenjia Bai

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* The paper is early accepted to MICCAI 2021. The codes are available at https://github.com/shuowang26/SRHeart 
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Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps


Jul 06, 2021
Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jaqueline Matthew, Emily Skelton, John Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz

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* MICCAI'21 Main Conference 
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Detecting Outliers with Poisson Image Interpolation


Jul 06, 2021
Jeremy Tan, Benjamin Hou, Thomas Day, John Simpson, Daniel Rueckert, Bernhard Kainz

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* MICCAI 2021 
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Differentially private federated deep learning for multi-site medical image segmentation


Jul 06, 2021
Alexander Ziller, Dmitrii Usynin, Nicolas Remerscheid, Moritz Knolle, Marcus Makowski, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

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* Submitted to the Journal of Machine Learning in Biomedical Imaging (MELBA) 
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Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation


Jul 02, 2021
Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert

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* MICCAI 2021 
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Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net


Jun 19, 2021
Tianrui Liu, Qingjie Meng, Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz

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Learning a Model-Driven Variational Network for Deformable Image Registration


May 25, 2021
Xi Jia, Alexander Thorley, Wei Chen, Huaqi Qiu, Linlin Shen, Iain B Styles, Hyung Jin Chang, Ales Leonardis, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Jinming Duan

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* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
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Automated Knee X-ray Report Generation


May 22, 2021
Aydan Gasimova, Giovanni Montana, Daniel Rueckert

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* NeurIPS Machine Learning for Health Workshop 2017 
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HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning


May 21, 2021
Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian Matschinske, Jan Baumbach, Daniel Rueckert, Georgios Kaissis

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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

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* 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

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* 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

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* 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

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* 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

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* 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

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