Qi Chen

Qi Chen (陈祺)

Hello! I am a Research Assistant at University of Chinese Academy of Sciences, advised by Prof. Ling Shao (IEEE Fellow) and Yefeng Zheng (IEEE Fellow, AIMBE Fellow).

I completed my Master's degree in Electronic Engineering at University of Science and Technology of China, advised by Prof. Zhiwei Xiong. During my Master's study, I interned at Microsoft Research Asia (MSRA), advised by Dr. JingJing Fu. Additionally, I worked as a research intern at Johns Hopkins University, advised by Bloomberg Distinguished Professor Alan L. Yuille and Dr. Zongwei Zhou.

/ / / / qic[at]mail.ustc.edu.cn

Research Interests

Medical Imaging: Scaling Annotations, Data Synthesis, Image Reconstruction.
Biological Imaging: Computational Pathology, Neuroscience, Connectomics.
Computer Vision: Image Segmentation, Video Generation, Multi-Object Tracking.

My primary areas of interest in research are biomedical imaging (medical and biological) and computer vision. Most of our understanding of the world stems from interpreting complex sensory signals, particularly visual information, yet turning this raw data into meaningful knowledge remains a fundamental challenge in artificial intelligence. My research aims to develop visual intelligence that can uncover complex patterns in biomedical data, improving diagnostic precision and potentially leading to better patient outcomes and a deeper understanding of health sciences.

News

[Nov. 2024] Three papers are submitted to CVPR 2025.

[Jul. 2024] Our paper about MRI recontruction is accepted to MICCAI 2024.

[Jul. 2024] Our abstract about tumor synthesis is accepted to RSNA 2024.

[Jun. 2024] Our book chapter about tumor synthesis is accepted.

[Mar. 2024] Our paper about tumor synthesis is accepted to CVPR 2024.

Publications ( Selected / All )

Research Topics: Biological Imaging / Medical Imaging / Computer Vision

(* indicates equal contribution)

	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 Biological 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: Biological Imaging / Medical Imaging / Computer Vision

(* indicates equal contribution)

	Unveiling Scaling Laws in Cancer Segmentation: Best Lessons from Real and Synthetic Data Qi Chen, Xinze Zhou, Chen Liu, Hao Chen, Zekun Jiang, Wenxuan Li, Ziyan Huang, Yuxuan Zhao, Dexin Yu, Junjun He, Yefeng Zheng, Ling Shao, Alan Yuille, Zongwei Zhou Submitted to CVPR 2025 arXiv / code
	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 CVPR 2025 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 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 Submitted to MedIA 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