Jiazhen Pan

55 papers A* 1Journal 36Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evo: Autoregressive-Diffusion Large Language Models with Evolving Balance.
CoRR
Junde Wu, Minhao Hu, Jiayuan Zhu, Yuyuan Liu, Tianyi Zhang, Kang Li, Jingkun Chen, Jiazhen Pan, Min Xu, Yueming Jin
2026 J jnl
MedOpenClaw: Auditable Medical Imaging Agents Reasoning over Uncurated Full Studies.
CoRR
Weixiang Shen, Yanzhu Hu, Che Liu, Junde Wu, Jiayuan Zhu, Chengzhi Shen, Min Xu, Yueming Jin, Benedikt Wiestler, Daniel Rueckert, Jiazhen Pan
2026 J jnl
No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space.
CoRR
Yundi Zhang, Sevgi Gokce Kafali, Niklas Bubeck, Daniel Rueckert, Jiazhen Pan
2026 J jnl
Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations.
CoRR
Busra Nur Zeybek, Özgün Turgut, Yundi Zhang, Jiazhen Pan, Robert Graf, Sophie Starck, Daniel Rueckert, Sevgi Gokce Kafali
2025 J jnl
AortaDiff: A Unified Multitask Diffusion Framework For Contrast-Free AAA Imaging.
CoRR
Yuxuan Ou, Ning Bi, Jiazhen Pan, Jiancheng Yang, Boliang Yu, Usama Zidan, Regent Lee, Vicente Grau
2025 A* conf
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning.
EMNLP
Jiayuan Zhu, Jiazhen Pan, Yuyuan Liu, Fenglin Liu, Junde Wu
2025 J jnl
Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models.
CoRR
Jiazhen Pan, Bailiang Jian, Paul Hager, Yundi Zhang, Che Liu, Friederike Jungmann, Hongwei Bran Li, Chenyu You, Junde Wu, Jiayuan Zhu, Fenglin Liu, Yuyuan Liu, Niklas Bubeck, Christian Wachinger, Chen Chen, Zhenyu Gong, Cheng Ouyang, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert
2025 J jnl
Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL.
CoRR
Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci
2025 J jnl
Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies.
CoRR
Bailiang Jian, Jiazhen Pan, Rohit Jena, Morteza Ghahremani, Hongwei Bran Li, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
2025 J jnl
Does DINOv3 Set a New Medical Vision Standard?
CoRR
Che Liu, Yinda Chen, Haoyuan Shi, Jinpeng Lu, Bailiang Jian, Jiazhen Pan, Linghan Cai, Jiayi Wang, Yundi Zhang, Jun Li, Cosmin I. Bercea, Cheng Ouyang, Chen Chen, Zhiwei Xiong, Benedikt Wiestler, Christian Wachinger, Daniel Rueckert, Wenjia Bai, Rossella Arcucci
2025 J jnl
Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations.
CoRR
Johannes Moll, Markus M. Graf, Tristan Lemke, Nicolas Lenhart, Daniel Truhn, Jean-Benoit Delbrouck, Jiazhen Pan, Daniel Rueckert, Lisa C. Adams, Keno K. Bressem
2025 J jnl
How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study.
CoRR
Che Liu, Jiazhen Pan, Weixiang Shen, Wenjia Bai, Daniel Rueckert, Rossella Arcucci
2025 J jnl
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction.
CoRR
Niklas Bubeck, Suprosanna Shit, Chen Chen, Can Zhao, Pengfei Guo, Dong Yang, Georg Zitzlsberger, Daguang Xu, Bernhard Kainz, Daniel Rueckert, Jiazhen Pan
2025 J jnl
Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning.
CoRR
Haozhen Gong, Xiaozhong Ji, Yuansen Liu, Wenbin Wu, Xiaoxiao Yan, Jingjing Liu, Kai Wu, Jiazhen Pan, Bailiang Jian, Jiangning Zhang, Xiaobin Hu, Hongwei Bran Li
2025 — conf
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.
MICCAI (7)
Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert
2025 J jnl
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.
CoRR
Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert
2025 J jnl
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder.
CoRR
Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken
2025 — conf
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-modal Masked Autoencoder.
MLMI@MICCAI
Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken
2025 — conf
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI.
DGM4MICCAI@MICCAI
Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan
2025 J jnl
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI.
CoRR
Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan
2025 J jnl
TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis.
CoRR
Bailiang Jian, Jiazhen Pan, Yitong Li, Fabian Bongratz, Ruochen Li, Daniel Rueckert, Benedikt Wiestler, Christian Wachinger
2025 J jnl
Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond.
CoRR
Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen, Daniel Rueckert, Jiazhen Pan
2025 J jnl
Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond.
Medical Image Anal.
Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen, Daniel Rueckert, Jiazhen Pan
2024 — conf
A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN.
MOVI@MICCAI
Yunheng Wu, Jiazhen Pan, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori
2024 J jnl
Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging.
IEEE Trans. Medical Imaging
Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024 J jnl
Attention-aware non-rigid image registration for accelerated MR imaging.
CoRR
Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner
2024 — conf
Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI.
MLMI@MICCAI (1)
Ruochen Li, Jiazhen Pan, Youxiang Zhu, Juncheng Ni, Daniel Rueckert
2024 J jnl
Classification, Regression and Segmentation directly from k-Space in Cardiac MRI.
CoRR
Ruochen Li, Jiazhen Pan, Youxiang Zhu, Juncheng Ni, Daniel Rueckert
2024 — conf
Direct Cardiac Segmentation from Undersampled K-Space using Transformers.
ISBI
Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
2024 J jnl
Direct Cardiac Segmentation from Undersampled K-space Using Transformers.
CoRR
Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert
2024 — conf
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration.
WBIR
Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
2024 J jnl
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration.
CoRR
Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler
2024 J jnl
Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation.
IEEE Trans. Medical Imaging
Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2024 J jnl
Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI.
Medical Image Anal.
Jiazhen Pan, Manal Hamdi, Wenqi Huang, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert
2024 — conf
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images.
MICCAI (1)
Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan
2024 J jnl
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images.
CoRR
Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan
2023 — conf
Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling.
MICCAI (10)
Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
2023 J jnl
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling.
CoRR
Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert
2023 J jnl
Multi-contrast MRI Super-resolution via Implicit Neural Representations.
CoRR
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
2023 — conf
NISF: Neural Implicit Segmentation Functions.
MICCAI (4)
Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert
2023 — conf
Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging.
IPMI
Wenqi Huang, Hongwei Bran Li, Jiazhen Pan, Gastão Cruz, Daniel Rueckert, Kerstin Hammernik
2023 J jnl
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging.
CoRR
Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2023 — conf
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.
MICCAI (8)
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
2022 — conf
Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging.
MICCAI (6)
Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2022 J jnl
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging.
CoRR
Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2022 J jnl
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging.
CoRR
Wenqi Huang, Hongwei Li, Gastão Cruz, Jiazhen Pan, Daniel Rueckert, Kerstin Hammernik
2022 — conf
Relationformer: A Unified Framework for Image-to-Graph Generation.
ECCV (37)
Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze
2022 J jnl
Relationformer: A Unified Framework for Image-to-Graph Generation.
CoRR
Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze
2021 — conf
Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation.
MLMIR@MICCAI
Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik
2021 J jnl
LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging
Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto
2021 J jnl
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging.
CoRR
Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto
2021 — conf
Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction.
ACSCC
Kerstin Hammernik, Jiazhen Pan, Daniel Rueckert, Thomas Küstner
2021 J jnl
Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning.
IEEE Trans. Medical Imaging
Haikun Qi, Niccolo Fuin, Gastão Cruz, Jiazhen Pan, Thomas Küstner, Aurélien Bustin, René M. Botnar, Claudia Prieto
2020 — conf
Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.
APSIPA
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
2004 — conf
Deepening and Developing the Conception and Service of the Library.
ICADL
Jiazhen Pan