Jiazhen Pan

Being a second-derivative meta-thinker.

Hey there, I am JZ Peter Pan, flying and rapping my verse in the field of AI in Medicine. I am a research fellow at Stanford University and Technical University of Munich, working closely with Daniel Rueckert , Benedikt Wiestler and Akshay Chaudhari.

My research keywords: AI in Medicine and Healthcare Benchmarks (Let's shape the field!) Agents Auditable AI Goodhart's Law

📣 Currently we are leading the COMPASS-GH initiative supported by Nature Health, which is an international consensus roadmap to establish benchmarks, metrics, and reporting standards for safe and equitable consumer-facing health LLMs. Join us on this initiative to shape the future of healthcare LLMs‼️

What's New

2026-05 Our DAS red-teaming is accepted at Nature Health! 🎉
2026-05 Our Dynamic Decision Learning (DDL) is accepted by ICML 2026! 🎉
2026-04 Start serving as the reviewer for Nature Portfolio (Nature Health, Nature Medicine and Npj Digital Medicine).
2026-04 Timeflow is accepted at IEEE TMI! 🎉 It was a long journey...
2026-03 We released the first version of MedOpenClaw! More functions and tools are coming soon!
2026-02 Two papers are accepted at CVPR 2026, See you in Denver!
2026-02 Our Nature Health Correspondence is online now! Please join us here to shape the future of healthcare LLMs!
2026-01 Invited to serve as Area Chair for MICCAI 2026 (Abu Dhabi, UAE).
2025-12 Invited to give a talk about Medical Red-Teaming at School of Computer Science and Technology, Tongji University.
2025-12 Invited to give a talk about Medical Red-Teaming at Ruijin Hospital, Shanghai Jiaotong University.
2025-10 Invited to give a talk about Reasoning Models at College of Biomedical Engineering, Fudan University.
2025-09 Invited to give a talk about Reasoning Models at HIT Webinar. [Video in Chinese]
2025-08 Our work Ask Patient with Patience is accepted at EMNLP!
2025-08 DAS Medical Red-Teaming is released! [Code] We propose a dynamic framework to systematically audit medical LLMs.
2025-07 Our work on Cardiac MR Foundation Models is accepted at Medical Image Analysis!
2025-05 Our Medical VLM reasoning models MedVLM-R1 is early accepted at MICCAI 2025 (among the top 9% of 3667 submissions)!
2025-02 Invited to give a talk at NVIDIA Radar Tech Talk about AI application in Cardiac MR Imaging.
2025-01 I will visit the Biomedical Image Analysis (BioMedIA) lab at the Univerisity of Oxford from Jan to Mar 2025.
2024-10 Our Cardiac representation learning work is invited for an oral presentation at MICCAI 2024!
2024-07 Our review work about Mamba is accepted at Workshop on Biomedical Image Registration (WBIR) 2024 and selected as an oral presentation!
05/2024 Our work Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images got early accepted at MICCAI 2024!
03/2024 Two papers (Reconstruction-driven motion estimation and Registration in undersampled MRI) are accepted at IEEE TMI!
02/2024 Paper Direct Cardiac Segmentation from Undersampled K-space Using Transformers is accepted at IEEE ISBI 2024.
02/2024 Invited to give a talk about MR Reconstruction at Orbem, Munich.
12/2023 Paper Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI is accepted at Medical Image Analysis.
07/2023 Invited to give a talk of Motion-compensated MR Reconstruction at CardioMRI Symposium, Munich.
06/2023 Three papers got accepted at MICCAI 2023!
03/2023 Invited to give a talk at University Hospital of Tübingen.
02/2023 Paper Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging got accepted to IPMI 2023. Congrats to Wenqi!
09/2022 Young scientist award finalist at MICCAI 2022!
05/2022 Paper Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging got early accepted (top 10%) at MICCAI 2022.
05/2022 Magna Cum Laude (top 3%) at ISMRM 2022. WoW 🎉🎉🎉!

Research Topics

I focus on the following four subfields of AI in Medicine, with some representative works highlighted below.

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, Zhenyu Gong, Cheng Ouyang, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert

Nature Health 2026

Paper Code HuggingFace LinkedIn
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning

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

EMNLP 2025

Paper
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

Preprint 2025

Website Paper HuggingFace
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

MICCAI 2025 (Early Acceptance)

Paper HuggingFace Code
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 Analysis 2025

Paper Code LinkedIn
Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images

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

MICCAI 2024 (Oral and Best Paper Finalist)

Paper Code
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

Preprint 2025

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

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

MICCAI 2025 (Deep Generative Models Workshop Oral)

Paper
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

Preprint 2025

Paper Code
Unrolled and Rapid Motion-compensated Reconstruction for Cardiac CINE MRI

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

Medical Image Analysis 2024

Paper
Reconstruction-driven Motion Estimation for Motion-compensated MR CINE

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

Transactions on Medical Imaging 2024

Paper Code
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

MICCAI 2023 (Best Paper Finalist)

Website Paper Code
Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging

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

IPMI 2023

Paper Code