Qi Chen

Qi Chen (陈祺)

Hello! I am currently a 1st year PhD student in the department of Computer Science, Johns Hopkins University. I am a member of CCVL, advised by Bloomberg Distinguished Professor Alan Yuille. Previously, I was a Researcher at University of Chinese Academy of Sciences and worked with Dr. Ling Shao and Dr. Yefeng Zheng. I completed my Master's degree in Electronic Engineering & Information Science (EEIS) from University of Science and Technology of China, advised by Dr. Zhiwei Xiong. During my study in University of Science and Technology of China, I spent a good time with Dr. JingJing Fu, Dr. Alan L. Yuille and Dr. Zongwei Zhou.

Our Lab also has opennings for 2025 summer interns. Check this document for introduction.

/ / / / qchen76@jh.edu

Research Interests

Medical Imaging: Scaling Annotations, Data Synthesis, Image Reconstruction, Image Segmentation.
Computer Vision: Diffusion Model, Video Generation, Multi-Model LLMs.

News

[Sep. 2025] Two papers are accepted to NeurIPS 2025.

[Aug. 2025] One paper is accepted to EMNLP 2025.

[Jul. 2025] One paper is accepted to ICCV 2025.

[Jul. 2025] Four abstracts are accepted to RSNA Oral.

Publications ( Selected / All )

Research Topics: Medical Imaging / Computer Vision

(* indicates equal contribution)

	PanTS: The Pancreatic Tumor Segmentation Dataset Wenxuan Li, Xinze Zhou, Qi Chen, Tianyu Lin, Pedro R. A. S. Bassi, Szymon Płotka, Jarosław B. Ćwikła, Xiaoxi Chen, Chen Ye, Zheren Zhu, Kai Ding, Heng Li, Kang Wang, Yang Yang, Yucheng Tang, Daguang Xu, Alan Yuille, Zongwei Zhou NeurIPS, 2025* arxiv / code
	Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction? Tianyu Lin, Xinran Li, Chuntung Zhuang, Qi Chen, Yuanhao Cai, Kai Ding, Alan Yuille, Zongwei Zhou NeurIPS, 2025 arxiv / code
	Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data Qi Chen, Xinze Zhou, Chen Liu, Hao Chen, Wenxuan Li, Zekun Jiang, Ziyan Huang, Yuxuan Zhao, Dexin Yu, Junjun He, Yefeng Zheng, Ling Shao, Alan Yuille, Zongwei Zhou ICCV, 2025 PDF / code
	InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles Zizhen Li, Chuanhao Li, Yibin Wang, Qi Chen, Diping Song, Yukang Feng, Jianwen Sun, Jiaxin Ai, Fanrui Zhang, Mingzhu Sun, Kaipeng Zhang EMNLP, 2025 arXiv / code
	MMR-Mamba: Multi-Contrast MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion Jing Zou, Lanqing Liu, Qi Chen, Shujun Wang, Xiaohan Xing, Jing Qin MedIA arXiv / code
	Towards Generalizable Tumor Synthesis Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan Yuille, Chen Wei, Zongwei Zhou CVPR, 2024 arXiv / code
	Analyzing Tumors by Synthesis Qi Chen, Yuxiang Lai, Xiaoxi Chen,Qixin Hu, Alan Yuille, Zongwei Zhou Chapter, 2024 (Generative Machine Learning Models in Medical Image Computing) arXiv / code
	Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning Qi Chen, Xiaohan Xing, Zhen Chen, Zhiwei Xiong MICCAI, 2024 arXiv / code
	Domain Adaptive Synapse Detection with Weak Point Annotations Qi Chen, Wei Huang, Yueyi Zhang, Zhiwei Xiong ISBI, 2024 Oral arXiv / code
	WASPSYN: A Challenge for Domain Adaptive Synapse Detection in Microwasp Brain Connectomes Yicong Li, Wanhua Li, Qi Chen*, Wei Huang, Yuda Zou, Xin Xiao, Kazunori Shinomiya, Pat Gunn, Nishika Gupta, Alexey Polilov, Yongchao Xu, Yueyi Zhang, Zhiwei Xiong, Hanspeter Pfister, Donglai Wei, Jingpeng Wu TMI*, 2024 arXiv / website
	Learning multiscale consistency for self-supervised electron microscopy instance segmentation Yinda Chen, Wei Huang, Xiaoyu Liu, Qi Chen, Zhiwei Xiong ICASSP, 2024 arXiv / code
	PCTrans: Position-Guided Transformer with Query Contrast for medlogical Instance Segmentation Qi Chen, Wei Huang, Xiaoyu Liu, Jiacheng Li, Zhiwei Xiong ICCV, 2023, BIC arXiv / code
	Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning Yinda Chen, Wei Huang, Shenglong Zhou, Qi Chen, Zhiwei Xiong IJCAI, 2023 arXiv / code
	Mask Rearranging Data Augmentation for 3D Mitochondria Segmentation Qi Chen, Mingxing Li, Jiacheng Li, Bo Hu, Zhiwei Xiong MICCAI, 2022 arXiv / code

Submissions (preprint)

Research Topics: Medical Imaging / Computer Vision

(* indicates equal contribution)

	Text-Driven Tumor Synthesis Xinran Li, Yi Shuai, Chen Liu, Qi Chen, Qilong Wu, Pengfei Guo, Dong Yang, Can Zhao, Pedro RAS Bassi, Daguang Xu, Kang Wang, Yang Yang, Alan Yuille, Zongwei Zhou Submitted to TMI arXiv / code
	ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models - A Large-Scale Case Study of Pancreatic Cancer Diagnosis, Staging, & Planning Wenxuan Li, Pedro R. A. S. Bassi, Tianyu Lin, Yu-Cheng Chou, Xinze Zhou, Yucheng Tang, Fabian Isensee, Kang Wang, Qi Chen, Xiaowei Xu, Xiaoxi Chen, Lizhou Wu, Qilong Wu, Yuxuan Zhao, Dexin Yu, Kai Ding, Yannick Kirchhoff, Maximilian Rouven Rokuss, Saikat Roy, Constantin Ulrich, Klaus Maier-Hein, Yang Yang, Alan Yuille, Zongwei Zhou Submitted to CVPR 2026 arXiv / code
	Multi-Contrast Low-Field MRI Acceleration with K-Space Progressive Learning and Image-Space Hybrid Attention Fusion Xiaohan Xing, Qi Chen, Lequan Yu, Liang Qiu, Lingting Zhu, Lei Xing, Lianli Liu Submitted to MedIA arXiv / code