Jiazhen Pan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Motion Estimation

Magnetic Resonance Imaging

Top Venues

IEEE Trans. Medical Imaging

Publications

Ruochen Li, Jiazhen Pan, Youxiang Zhu, Juncheng Ni, Daniel Rueckert
Classification, Regression and Segmentation directly from k-Space in Cardiac MRI. CoRR (2024)
Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging. IEEE Trans. Medical Imaging 43 (8) (2024)
Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration. CoRR (2024)
Jiazhen Pan, Manal Hamdi, Wenqi Huang, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI. Medical Image Anal. 91 (2024)
Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images. CoRR (2024)
Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation. IEEE Trans. Medical Imaging 43 (7) (2024)
Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
Direct Cardiac Segmentation from Undersampled K-space Using Transformers. CoRR (2024)
Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
Attention-aware non-rigid image registration for accelerated MR imaging. CoRR (2024)
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
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations. MICCAI (8) (2023)
Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling. MICCAI (10) (2023)
Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging. CoRR (2023)
Wenqi Huang, Hongwei Bran Li, Jiazhen Pan, Gastão Cruz, Daniel Rueckert, Kerstin Hammernik
Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging. IPMI (2023)
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
Multi-contrast MRI Super-resolution via Implicit Neural Representations. CoRR (2023)
Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert
NISF: Neural Implicit Segmentation Functions. MICCAI (4) (2023)
Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling. CoRR (2023)
Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging. MICCAI (6) (2022)
Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze
Relationformer: A Unified Framework for Image-to-Graph Generation. ECCV (37) (2022)
Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze
Relationformer: A Unified Framework for Image-to-Graph Generation. CoRR (2022)
Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging. CoRR (2022)
Wenqi Huang, Hongwei Li, Gastão Cruz, Jiazhen Pan, Daniel Rueckert, Kerstin Hammernik
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging. CoRR (2022)
Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging. CoRR (2021)
Haikun Qi, Niccolo Fuin, Gastão Cruz, Jiazhen Pan, Thomas Küstner, Aurélien Bustin, René M. Botnar, Claudia Prieto
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning. IEEE Trans. Medical Imaging 40 (1) (2021)
Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation. MLMIR@MICCAI (2021)
Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto
LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 40 (12) (2021)
Kerstin Hammernik, Jiazhen Pan, Daniel Rueckert, Thomas Küstner
Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction. ACSCC (2021)
Thomas Küstner, Jiazhen Pan, Christopher Gilliam, Haikun Qi, Gastão Cruz, Kerstin Hammernik, Bin Yang, Thierry Blu, Daniel Rueckert, René M. Botnar, Claudia Prieto, Sergios Gatidis
Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk. APSIPA (2020)