Jiazhen Pan

According to our database, Jiazhen Pan authored at least 50 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Temporal Conditioning for Longitudinal Brain MRI Registration and Aging Analysis.

Bailiang Jian, Jiazhen Pan, Yitong Li, Fabian Bongratz, Ruochen Li, Daniel Rueckert, Benedikt Wiestler, Christian Wachinger

IEEE Trans. Medical Imaging, June, 2026

GRASP: Gated Regression-Aware Skill Proposer for Self-Improving LLM Agents.

Johannes Moll, Jean-Philippe Corbeil, Jiazhen Pan, Martin Hadamitzky, Daniel Rueckert, Lisa Adams, Keno K. Bressem

CoRR, May, 2026

DDX-TRACE: A Benchmark for Medical Diagnostic Trajectories in VLMs.

Jiazhen Pan, Weixiang Shen, Jun Li, Julian Canisius, Felix Bitzer, Paula Roßmüller, Jiancheng Yang, Virginie Kreutzinger, Daniel Rueckert, Benedikt Wiestler

CoRR, May, 2026

From Failure to Feedback: Group Revision Unlocks Hard Cases in Object-Level Grounding.

Yuyuan Liu, Yiping Ji, Anjie Le, Jiayuan Zhu, Jiazhen Pan, Can Peng, Jiajun Deng, Fengbei Liu, Junde Wu

CoRR, May, 2026

RealICU: Do LLM Agents Understand Long-Context ICU Data? A Benchmark Beyond Behavior Imitation.

Chengzhi Shen, Weixiang Shen, Tobias Susetzky, Chen Chen, Jun Li, Yuyuan Liu, Xuepeng Zhang, Zhenyu Gong, Daniel Rueckert, Jiazhen Pan

CoRR, May, 2026

BioMedArena: An Open-source Toolkit for Building and Evaluating Biomedical Deep Research Agents.

Jinge Wu, Hongjian Zhou, Ming Zeng, Jiayuan Zhu, Junde Wu, Jiazhen Pan, Sean Wu, Honghan Wu, Fenglin Liu, David A. Clifton

CoRR, May, 2026

Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases.

Jun Li, Mingxuan Liu, Jiazhen Pan, Che Liu, Wenjia Bai, Cosmin I. Bercea, Julia A. Schnabel

CoRR, April, 2026

Agentic clinical reasoning over longitudinal myeloma records: a retrospective evaluation against expert consensus.

Johannes Moll, Jannik Lübberstedt, Christoph Nuernbergk, Jacob Stroh, Luisa Mertens, Anna Purcarea, Christopher Zirn, Zeineb Benchaaben, Fabian Drexel, Hartmut Häntze, Anirudh Narayanan, Friedrich Puttkammer, Andrei Zhukov, Jacqueline Lammert, Sebastian Ziegelmayer, Markus M. Graf, Marion Högner, Marcus R. Makowski, Florian Bassermann, Lisa C. Adams, Jiazhen Pan, Daniel Rueckert, Krischan Braitsch, Keno K. Bressem

CoRR, April, 2026

Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis.

Ayhan Can Erdur, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken

CoRR, April, 2026

Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve.

Weixiang Shen, Bailiang Jian, Jun Li, Che Liu, Johannes Moll, Xiaobin Hu, Daniel Rueckert, Hongwei Bran Li, Jiazhen Pan

CoRR, April, 2026

MedOpenClaw: Auditable Medical Imaging Agents Reasoning over Uncurated Full Studies.

Weixiang Shen, Yanzhu Hu, Che Liu, Junde Wu, Jiayuan Zhu, Chengzhi Shen, Min Xu, Yueming Jin, Benedikt Wiestler, Daniel Rueckert, Jiazhen Pan

CoRR, March, 2026

Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations.

Busra Nur Zeybek, Özgün Turgut, Yundi Zhang, Jiazhen Pan, Robert Graf, Sophie Starck, Daniel Rueckert, Sevgi Gokce Kafali

CoRR, March, 2026

No Image, No Problem: End-to-End Multi-Task Cardiac Analysis from Undersampled k-Space.

Yundi Zhang, Sevgi Gokce Kafali, Niklas Bubeck, Daniel Rueckert, Jiazhen Pan

CoRR, March, 2026

Evo: Autoregressive-Diffusion Large Language Models with Evolving Balance.

Junde Wu, Minhao Hu, Jiayuan Zhu, Yuyuan Liu, Tianyi Zhang, Kang Li, Jingkun Chen, Jiazhen Pan, Min Xu, Yueming Jin

CoRR, March, 2026

2025

Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies.

Bailiang Jian, Jiazhen Pan, Rohit Jena, Morteza Ghahremani, Hongwei Bran Li, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler

CoRR, December, 2025

Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning.

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

CoRR, December, 2025

Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations.

Johannes Moll, Markus M. Graf, Tristan Lemke, Nicolas Lenhart, Daniel Truhn, Jean-Benoit Delbrouck, Jiazhen Pan, Daniel Rueckert, Lisa C. Adams, Keno K. Bressem

CoRR, October, 2025

AortaDiff: A Unified Multitask Diffusion Framework For Contrast-Free AAA Imaging.

Yuxuan Ou, Ning Bi, Jiazhen Pan, Jiancheng Yang, Boliang Yu, Usama Zidan, Regent Lee, Vicente Grau

CoRR, October, 2025

Does DINOv3 Set a New Medical Vision Standard?

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

CoRR, September, 2025

Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction.

Niklas Bubeck, Suprosanna Shit, Chen Chen, Can Zhao, Pengfei Guo, Dong Yang, Georg Zitzlsberger, Daguang Xu, Bernhard Kainz, Daniel Rueckert, Jiazhen Pan

CoRR, August, 2025

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models.

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

CoRR, August, 2025

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study.

Che Liu, Jiazhen Pan, Weixiang Shen, Wenjia Bai, Daniel Rueckert, Rossella Arcucci

CoRR, July, 2025

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL.

Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci

CoRR, May, 2025

TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis.

Bailiang Jian, Jiazhen Pan, Yitong Li, Fabian Bongratz, Ruochen Li, Daniel Rueckert, Benedikt Wiestler, Christian Wachinger

CoRR, January, 2025

Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond.

Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen, Daniel Rueckert, Jiazhen Pan

Medical Image Anal., 2025

MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-modal Masked Autoencoder.

Ayhan Can Erdur, Christian Beischl, Daniel Scholz, Jiazhen Pan, Benedikt Wiestler, Daniel Rueckert, Jan C. Peeken

Proceedings of the Machine Learning in Medical Imaging - 16th International Workshop, 2025

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.

Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI.

Niklas Bubeck, Yundi Zhang, Suprosanna Shit, Daniel Rueckert, Jiazhen Pan

Proceedings of the Deep Generative Models - 5th MICCAI Workshop, 2025

Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning.

Jiayuan Zhu, Jiazhen Pan, Yuyuan Liu, Fenglin Liu, Junde Wu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Attention-Aware Non-Rigid Image Registration for Accelerated MR Imaging.

Aya Ghoul, Jiazhen Pan, Andreas Lingg, Jens Kübler, Patrick Krumm, Kerstin Hammernik, Daniel Rueckert, Sergios Gatidis, Thomas Küstner

IEEE Trans. Medical Imaging, August, 2024

Motion-Compensated MR CINE Reconstruction With Reconstruction-Driven Motion Estimation.

Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik

IEEE Trans. Medical Imaging, July, 2024

Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI.

Jiazhen Pan, Manal Hamdi, Wenqi Huang, Kerstin Hammernik, Thomas Küstner, Daniel Rueckert

Medical Image Anal., January, 2024

Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration.

Bailiang Jian, Jiazhen Pan, Morteza Ghahremani, Daniel Rueckert, Christian Wachinger, Benedikt Wiestler

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

Classification, Regression and Segmentation Directly from K-Space in Cardiac MRI.

Ruochen Li, Jiazhen Pan, Youxiang Zhu, Juncheng Ni, Daniel Rueckert

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images.

Yundi Zhang, Chen Chen, Suprosanna Shit, Sophie Starck, Daniel Rueckert, Jiazhen Pan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Deployable Microscopic Image Segmentation Look-Up Table Based on A Dilated CNN.

Yunheng Wu, Jiazhen Pan, Shuntaro Kawamura, Masahiro Oda, Yuichiro Hayashi, Takanori Takebe, Daniel Rueckert, Kensaku Mori

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2024

Direct Cardiac Segmentation from Undersampled K-Space using Transformers.

Yundi Zhang, Nil Stolt Ansó, Jiazhen Pan, Wenqi Huang, Kerstin Hammernik, Daniel Rueckert

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Multi-contrast MRI Super-resolution via Implicit Neural Representations.

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

CoRR, 2023

Reconstruction-driven motion estimation for motion-compensated MR CINE imaging.

Jiazhen Pan, Wenqi Huang, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik

CoRR, 2023

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling.

Jiazhen Pan, Suprosanna Shit, Özgün Turgut, Wenqi Huang, Hongwei Bran Li, Nil Stolt Ansó, Thomas Küstner, Kerstin Hammernik, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

NISF: Neural Implicit Segmentation Functions.

Nil Stolt Ansó, Julian McGinnis, Jiazhen Pan, Kerstin Hammernik, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging.

Wenqi Huang, Hongwei Bran Li, Jiazhen Pan, Gastão Cruz, Daniel Rueckert, Kerstin Hammernik

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging.

Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Relationformer: A Unified Framework for Image-to-Graph Generation.

Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning.

Haikun Qi, Niccolo Fuin, Gastão Cruz, Jiazhen Pan, Thomas Küstner, Aurélien Bustin, René M. Botnar, Claudia Prieto

IEEE Trans. Medical Imaging, 2021

LAPNet: Non-Rigid Registration Derived in k-Space for Magnetic Resonance Imaging.

Thomas Küstner, Jiazhen Pan, Haikun Qi, Gastão Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, René M. Botnar, Claudia Prieto

IEEE Trans. Medical Imaging, 2021

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation.

Jiazhen Pan, Daniel Rueckert, Thomas Küstner, Kerstin Hammernik

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Motion-Guided Physics-Based Learning for Cardiac MRI Reconstruction.

Kerstin Hammernik, Jiazhen Pan, Daniel Rueckert, Thomas Küstner

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.

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

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020