Relationformer: A Unified Framework for Image-to-Graph Generation S Shit, R Koner, B Wittmann, J Paetzold, I Ezhov, H Li, J Pan, ... European Conference on Computer Vision, 422-439, 2022 | 36 | 2022 |
Non-rigid respiratory motion estimation of whole-heart coronary MR images using unsupervised deep learning H Qi, N Fuin, G Cruz, J Pan, T Kuestner, A Bustin, RM Botnar, C Prieto IEEE Transactions on Medical Imaging 40 (1), 444-454, 2020 | 36 | 2020 |
LAPNet: Non-rigid registration derived in k-space for magnetic resonance imaging T Küstner, J Pan, H Qi, G Cruz, C Gilliam, T Blu, B Yang, S Gatidis, ... IEEE transactions on medical imaging 40 (12), 3686-3697, 2021 | 28 | 2021 |
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging W Huang, H Li, J Pan, G Cruz, D Rueckert, K Hammernik arXiv preprint arXiv:2212.08479, 2022 | 16 | 2022 |
Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction K Hammernik, J Pan, D Rueckert, T Küstner 2021 55th Asilomar Conference on Signals, Systems, and Computers, 900-907, 2021 | 14 | 2021 |
Self-supervised motion-corrected image reconstruction network for 4D magnetic resonance imaging of the body trunk T Küstner, J Pan, C Gilliam, H Qi, G Cruz, K Hammernik, B Yang, T Blu, ... APSIPA Transactions on Signal and Information Processing, 2022 | 9 | 2022 |
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging J Pan, D Rueckert, T Küstner, K Hammernik International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 2022 |
Efficient image registration network for non-rigid cardiac motion estimation J Pan, D Rueckert, T Küstner, K Hammernik Machine Learning for Medical Image Reconstruction: 4th International …, 2021 | 8 | 2021 |
Single-subject multi-contrast MRI super-resolution via implicit neural representations J McGinnis, S Shit, HB Li, V Sideri-Lampretsa, R Graf, M Dannecker, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
Nisf: Neural implicit segmentation functions N Stolt-Ansó, J McGinnis, J Pan, K Hammernik, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4 | 2023 |
Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk T Küstner, J Pan, C Gilliam, H Qi, G Cruz, K Hammernik, B Yang, T Blu, ... 2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020 | 4 | 2020 |
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging J Pan, W Huang, D Rueckert, T Küstner, K Hammernik IEEE Transactions on Medical Imaging, 2024 | 2 | 2024 |
Multi-contrast MRI Super-resolution via Implicit Neural Representations J McGinnis, S Shit, HB Li, V Sideri-Lampretsa, R Graf, M Dannecker, ... arXiv preprint arXiv:2303.15065, 2023 | 2 | 2023 |
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI J Pan, M Hamdi, W Huang, K Hammernik, T Kuestner, D Rueckert Medical Image Analysis 91, 103017, 2024 | 1 | 2024 |
Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling J Pan, S Shit, Ö Turgut, W Huang, HB Li, N Stolt-Ansó, T Küstner, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
LAPNet: Deep-learning based non-rigid motion estimation in k-space from highly undersampled respiratory and cardiac resolved acquisitions T Küstner, J Pan, H Qi, G Cruz, K Hammernik, C Gilliam, T Blu, S Gatidis, ... Proceedings of the International Society for Magnetic Resonance in Medicine …, 2021 | 1 | 2021 |
Attention-aware non-rigid image registration for accelerated MR imaging A Ghoul, J Pan, A Lingg, J Kübler, P Krumm, K Hammernik, D Rueckert, ... IEEE Transactions on Medical Imaging, 2024 | | 2024 |
A group-wise cardiac motion estimation network leveraging temporal correlation J Pan, D Rueckert, T Kuestner, K Hammernik Proceedings of the International Society for Magnetic Resonance in Medicine …, 2022 | | 2022 |