Publications Peer reviewed articles (8) Differentially Private Graph Neural Networks for Whole-Graph Classification Author(s): Tamara T. Mueller, Johannes C. Paetzold, Chinmay Prabhakar, Dmitrii Usynin, Daniel Rueckert, Georgios Kaissis Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, ISSN 1939-3539 Publisher: IEEE Computer Society DOI: 10.1109/tpami.2022.3228315 CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy Author(s): Mengyun Qiao; Shuo Wang; Huaqi Qiu; Antonio De Marvao; Declan P. O’Regan; Daniel Rueckert; Wenjia Bai Published in: IEEE Transactions on Medical Imaging, 2023, ISSN 1558-254X Publisher: IEEE Computer Society DOI: 10.1109/tmi.2023.3331982 Enhancing MR image segmentation with realistic adversarial data augmentation Author(s): Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert Published in: Medical Image Analysis, 2022, ISSN 1361-8415 Publisher: Elsevier BV DOI: 10.1016/j.media.2022.102597 Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI Author(s): Jiazhen Pan; Manal Hamdi; Wenqi Huang; Kerstin Hammernik; Thomas Kuestner; Daniel Rueckert Published in: Medical Image Analysis, 2024, ISSN 1361-8415 Publisher: Elsevier BV DOI: 10.1016/j.media.2023.103017 CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs Author(s): Qiang Ma, Liu Li, Emma C Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary Published in: IEEE Transactions on Medical Imaging, 2022, ISSN 0278-0062 Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/tmi.2022.3206221 DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning Author(s): Qingjie Meng; Wenjia Bai; Declan P O’Regan; Daniel Rueckert Published in: IEEE Transactions on Medical Imaging, 2023, ISSN 0278-0062 Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/tmi.2023.3340118 Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Author(s): Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert Published in: IEEE Transactions on Medical Imaging, 2022, ISSN 0278-0062 Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/tmi.2022.3224067 Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk Author(s): Thomas Küstner, Jiazhen Pan, Christopher Gilliam, Haikun Qi, Gastao Cruz, Kerstin Hammernik, Thierry Blu, Daniel Rueckert, René Botnar, Claudia Prieto and Sergios Gatidis Published in: APSIPA Transactions on Signal and Information Processing, 2022, ISSN 2048-7703 Publisher: Cambridge University Press DOI: 10.1561/116.00000039 Conference proceedings (8) Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging Author(s): Wenqi Huang, Hongwei Bran Li, Jiazhen Pan, Gastao Cruz, Daniel Rueckert, Kerstin Hammernik Published in: Information Processing in Medical Imaging, 2023 Publisher: Springer DOI: 10.1007/978-3-031-34048-2_42 Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations Author(s): Julian McGinnis, Suprosanna Shit, Hongwei Bran Li, Vasiliki Sideri-Lampretsa, Robert Graf, Maik Dannecker, Jiazhen Pan, Nil Stolt-Ansó, Mark Mühlau, Jan S. Kirschke, Daniel Rueckert & Benedikt Wiestler Published in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2023 Publisher: Springer DOI: 10.1007/978-3-031-43993-3_17 Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging Author(s): Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik Published in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022 Publisher: Springer DOI: 10.1007/978-3-031-16446-0_65 Propagation and Attribution of Uncertainty in Medical Imaging Pipelines Author(s): Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis Published in: International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023 Publisher: Springer DOI: 10.1007/978-3-031-44336-7_1 Exploiting Segmentation Labels and Representation Learning to Forecast Therapy Response of PDAC Patients Author(s): Ziller, Alexander; Erdur, Ayhan Can; Jungmann, Friederike; Rueckert, Daniel; Braren, Rickmer; Kaissis, Georgios Published in: IEEE International Symposium on Biomedical Imaging, 2023 Publisher: IEEE Computer Society DOI: 10.1109/isbi53787.2023.10230324 Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation Author(s): Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik Published in: International Workshop on Machine Learning for Medical Image Reconstruction, 2021 Publisher: Springer DOI: 10.1007/978-3-030-88552-6_2 Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling Author(s): Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt-Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert Published in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2023 Publisher: Springer DOI: 10.1007/978-3-031-43999-5_22 Body Fat Estimation from Surface Meshes Using Graph Neural Networks. Author(s): Tamara T. Mueller, Siyu Zhou, Sophie Starck, Friederike Jungmann, Alexander Ziller, Orhun Aksoy, Danylo Movchan, Rickmer Braren, Georgios Kaissis, Daniel Rueckert Published in: Shape in Medical Imaging, 2023 Publisher: Springer DOI: 10.1007/978-3-031-46914-5_9 Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available