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Deep Learning for Medical Imaging: Learning Clinically Useful Information from Images

Publications

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

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

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