Yunxiang Li

PhD Student

Department of Radiation Oncology
University of Texas Southwestern Medical Center

Email: Yunxiang.Li@UTSouthwestern.edu

Biography [CV]

I am a PhD student at UT Southwest Medical Center, working on medical image analysis. In the past, I did research on infant brain MRI processing, medical image classification, medical image segmentation, Transformer in vision, unsupervised domain adaptation and semi-supervised segmentation, etc. During my undergraduate research, I published/completed 6 papers as the first/co-first author.

I serve as a reviewer for multiple SCI journals and conferences, including IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Pattern Recognition (PR), IEEE Journal of Biomedical and Health Informatics (JBHI), Medical & Biological Engineering & Computing (MBEC), International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), and International Conference on Robotics and Automation (ICRA), etc.

I have been fortunately working with many amazing mentors and colleagues along the journey. They have been motivating me to keep up and tackle new challenges. It would have been impossible for me to achieve anything without them. Here are some of them.

Professor Qun Jin, Waseda University, Foreign Member of the Engineering Academy of Japan (EAJ).

Professor Huiyu Zhou, University of Leicester, Associate Editor/Area Chair of more than 10 SCI journals/Top conferences.

Professor Qianni Zhang, Queen Mary University of London.

Professor Li Wang, University of North Carolina at Chapel Hill.

Professor Shuai Wang and Dr. Yaqi Wang.

News

[08/2022] Our new work has been published on Scientific Data (IF=8.5009)!
[12/2021] Our new work about unsupervised domain adaptation is available at arxiv now!
[11/2021] I started the research on skull stripping and infant brain segmentation, supervised by Dr. Li Wang, University of North Carolina at Chapel Hill.
[11/2021] Our paper about Automated Evaluation of Root Canal Therapy was accepted by IEEE Journal of Biomedical and Health Informatics (JCR Q1)!
[09/2021] I was invited to present our work orally in MICCAI 2021 MLMI!
[01/2021] Our paper about COVID‐19 detection in chest x‐ray images was accepted by Medical Physics (JCR Q1)!.

Experience

University of Texas Southwestern Medical Center

June. 2022 – Present

PhD Student
Advisor: Prof. You Zhang
Zhejiang University

Mar. 2022 – June. 2022

Research Intern
University of North Carolina at Chapel Hill

Sep. 2021 – Mar. 2022

Research Intern
Topic: Infant Brain MRI Processing, Advisor: Prof. Li Wang
Department of Ophthalmology, Zhejiang University

Mar. 2021 – Sep. 2021

Research Intern
Topic: Automatic Segmentation and Diagnosis of Ophthalmic Images
Microelectronics CAD Center, Hangzhou Dianzi University

Aug. 2019 – Sep. 2021

Topic: Automatic Diagnosis of Root Canal Therapy
The University of Adelaide

Jan. 2019 – Feb. 2019

Visiting Student

Selected Publications | Google Scholar

*/2023/*
	GRAPE: A multi-modal dataset of longitudinal follow-up visual field and fundus images for glaucoma management Xiaoling Huang, Xiangyin Kong, Ziyan Shen, Jing Ouyang, Yunxiang Li, Kai Jin, Juan Ye Scientific Data, 2023. [paper] [code]
	ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge Yunxiang Li, Zihan Li, Kai Zhang, Ruilong Dan, Steve Jiang, You Zhang Cureus, 2023. [paper] [code]
	Children’s dental panoramic radiographs dataset for caries segmentation and dental disease detection Yifan Zhang, Fan Ye, Lingxiao Chen, Feng Xu, Xiaodiao Chen, Hongkun Wu, Mingguo Cao, Yunxiang Li, Yaqi Wang, Xingru Huang Scientific Data, 2023. [paper] [code]
	SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation Yunxiang Li, Meixu Chen, Wenxuan Yang, Kai Wang, Jun Ma, Alan C Bovik, You Zhang Under review, 2023. [paper] [code]
	Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve Jiang, Jing Wang, You Zhang IEEE TMI, 2023. [paper] [code]
	Learning from Noisy Labels Generated by Extremely Point Annotations for OCT Fluid Segmentation Tengjin Weng, Yang Shen, Kai Jin, Zhiming Cheng, Yunxiang Li, Gewen Zhang, Shuai Wang Under review, 2023. [paper] [code]
	LViT: Language meets Vision Transformer in Medical Image Segmentation Zihan Li, Yunxiang Li, Qingde Li, You Zhang, Puyang Wang, Dazhou Guo, Le Lu, Dakai Jin, Qingqi Hong IEEE TMI, 2022. [paper] [code]
	Real-time liver tumor localization via combined surface imaging and a single x-ray projection Hua-Chieh Shao, Yunxiang Li, Jing Wang, Steve B Jiang, You Zhang Physics in Medicine and Biology, 2023. [paper] [code]
*/2022/*
	CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound Ruilong Dan, Yunxiang Li, Yijie Wang, Gangyong Jia, Ruiquan Ge, Juan Ye, Qun Jin, Yaqi Wang IEEE JBHI, 2022. [paper] [code]
	FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation Kai Jin, Xingru Huang, Jingxing Zhou, Yunxiang Li, Yan Yan, Yibao Sun, Qianni Zhang, Yaqi Wang, Juan Ye# Scientific Data (IF=8.5), 2022. [paper] [code]
	Source-free Domain Adaptation for Skull Stripping Yunxiang Li, Ruilong Dan, Shuai Wang, Xiangde Luo, Yifan Cao, Chenghao Tan, Huiyu Zhou, Yaqi Wang#, Li Wang# MICCAI MLMI, 2022. [paper] [code]
	Overview of global publications on machine learning in diabetic retinopathy from 2011 to 2021: Bibliometric analysis An Shao, Kai Jin, Yunxiang Li, Lixia Lou, Wuyuan Zhou, Juan Ye# Frontiers in Endocrinolong, 2022. [paper] [code]
	A Self-Supervised Learning based Framework for Eyelid Malignant Melanoma Diagnosis in Whole Slide Images Zijing Jiang, Jun Wang, Yibao Sun, Yunxiang Li, Dechao Chen, Yaqi Wang# IEEE-ACM Transactions on Computational Biology and Bioinformatics, 2022. [paper] [code]
*/2021/*
	AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy. Yunxiang Li, Guodong Zeng, Yifan Zhang, Jun Wang, Qun Jin, Lingling Sun, Qianni Zhang, Qisi Lian, Guiping Qian, Neng Xia, Ruizi Peng, Kai Tang, Shuai Wang#, Yaqi Wang# IEEE Journal of Biomedical and Health Informatics (IF = 7.021), 2021. [paper] [code]
	A Cascade-SEME network for COVID-19 detection in chest c-ray images Dailin Lv, Yaqi Wang#, Shuai Wang, Qianni Zhang, Wuteng Qi, Yunxiang Li, Lingling Sun# Medical Physics (IF = 4.071), 2021. [paper] [code]
	Dispensed Transformer for Unsupervised Domain Adaptation.” Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, Qun Jin, Li Wang, Yaqi Wang Under Review, 2021. [paper] [code]
	GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation Yunxiang Li, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, Yaqi Wang# Oral, MICCAI, Machine Learning in Medical Imaging, 2021. [paper] [code]
	Globally and Locally Feature Aggregating Fundus Image Quality Assessment via Spatial Information Retained Multiscale Network Kai Jin, Zhiyuan Gao, Yaqi Wang, Yunxiang Li, Xiaoyu Ma, Juan Ye# Under Review, 2021. [paper] [code]
	Lumen and EEM segmentation in IVUS images using attention R2U-net with boundary sensitive representation Xingru Huang, Yue Gu, Yunxiang Li, Jiongxiong Li, Kai jin, Yaqi Wang, Yibao Sun, Qianni Zhang# In Progress. [paper] [code]