Zihao Zhao Master Student 393 Middle Huaxia Road, Shanghai School of Biomedical Engineering [IDEA Lab] ShanghaiTech University Email: zihaozhao10@gmail.com

About Me

I am currently a Master's student at the School of Biomedical Engineering at ShanghaiTech University, supervised by Prof. Dinggang Shen.

My research primarily focuses on eye-tracking enhanced medical image analysis, as well as exploring the integration of large language models (LLMs) into computer-aided diagnosis (CAD) , which encompasses two critical aspects:

• Vision level alignment: Utilizing eye-tracking data, we seeks to align the visual processing capabilities of CAD systems with those of human experts.
• Language level alignment: We employ the reasoning capabilities of LLMs to convert difficult-to-interpret results from CAD models into comprehensive and explainable reports.

News

[Feb/14/2025] One paper accepted by IPMI 2025.

[Jan/07/2025] Two papers (co-first author) accepted by IEEE TMI and Pattern Recognition.

[Aug/20/2024] ChatCAD was finally been accepted by COMMSENG!

[Jun/19/2024] Two papers accepted by MICCAI 2024.

[May/05/2024] One paper accepted by IEEE TMI.

[Feb/03/2024] One paper accepted by ISBI 2024.

[Dec/09/2023] One paper accepted by AAAI 2024.

[Dec/05/2023] My Google Scholar profile reached 100 citations!

[Jul/25/2022] I officially join Prof. Dinggang Shen's research lab.

Research

	CLIP in medical imaging: A comprehensive survey Zihao Zhao, Yuxiao Liu, Han Wu, Yonghao Li, Sheng Wang, Lin Teng, Disheng Liu, Zhiming Cui, Qian Wang, Dinggang Shen ArXiv (Under Review), 2023. [paper] [code]
	Mining Gaze for Contrastive Learning toward Computer-assisted Diagnosis Zihao Zhao, Sheng Wang, Qian Wang, Dinggang Shen Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024. [paper] [poster] [code]
	ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs Zihao Zhao, Sheng Wang, Jinchen Gu, Yitao Zhu, Lanzhuju Mei, Zixu Zhuang, Zhiming Cui, Qian Wang, Dinggang Shen IEEE Transactions on Medical Imaging (TMI), 2024. [paper] [code]
	Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models (Editor's Choice 2024) Sheng Wang*, Zihao Zhao*, Xi Ouyang, Qian Wang, Dinggang Shen Communications Engineering, 2024. [paper] [code] [editor's choice]
	Crafting Good Views of Medical Images for Contrastive Learning via Expert-level Visual Attention (Oral) Sheng Wang, Zihao Zhao, Lichi Zhang, Dinggang Shen, Qian Wang NeurIPS Workshop Gaze Meets ML, 2023. [paper] [code]
	MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis (Oral) Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang, Xiangyu Zhao, Dinggang Shen, Qian Wang IEEE International Symposium on Biomedical Imaging (ISBI), 2024. [paper] [code]
	DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task Honglin Xiong, Sheng Wang, Yitao Zhu, Zihao Zhao, Yuxiao Liu, Linlin Huang, Qian Wang, Dinggang Shen ArXiv, 2023. [project page] [paper] [code]

Soical Activity

Miscellaneous

• I am a loyal fan of Hajime Isayama's ATTACK ON TITAN.
• PlayStation Platinum Trophy: God of War III, God of War (2018), God of War: Ragnarök, Nioh, Nioh 2, Rise of the Rōnin, Wo Long: Fallen Dynasty, Marvel's Spider-Man 2.