Zehui Lin

I am currently a Ph.D. student in GEM at The Faculty of Applied Sciences, Macao Polytechnic University, supervised by Prof. Tao Tan.

I received my M.E. in MUSIC Lab at School of Biomedical Engineering, Health Science Center, Shenzhen University, supervised by Prof. Dong Ni. Before that, I obtained my B.E. in Zhang's Lab at School of Biomedical Engineering, Southern Medical University, supervised by Prof. Zhenyuan Ning and Prof. Yu Zhang.

Email  /  Google Scholar  /  GitHub  /  Zhihu

profile photo
Research Interests

My current research centers around General AI for Medical Image Analysis. Specifically, I have dedicated myself to (1) ultrasound image analysis, and (2) optimization based survival analysis.

Please be free to contact me if you would like to collaborate with me!

News

[05/2025] Our paper on ultrasound general AI was accepted by MedIA.

[03/2025] Our challenge "Universal UltraSound Image Challenge: Multi-Organ Classification and Segmentation" (UUSIC 2025) was accepted at MICCAI 2025! Website under construction. Stay tuned!

[10/2024] We successfully participated in the "Science and Technology Week 2024 cum Exhibition of Achievement in Science and Technology Innovation" hosted by the Macau Science and Technology Development Fund (FDCT) and supported by the Ministry of Science and Technology of China.

[09/2024] We won the Third Prize in JD Health - Global Medical AI Innovation Competition (Innovative Applications of Medical Large Models).

[08/2024] Our paper on ultrasound general AI was accepted by IEEE BIBM 2024.

[02/2024] Our clinical work with Southern Medical University on ultrasound BI-RADS 4A was accepted by Clinical Breast Cancer.

[09/2023] Our leads Generalised Practice of Artificial Intelligence for Medical Imaging approved by IEEE Standards Organisation.

[09/2023] I started my Ph.D. career in GEM at The Faculty of Applied Sciences, Macao Polytechnic University.

[06/2023] I successfully defended my Master thesis.

[09/2022] We were invited to an oral presentation in MICCAI 2022 REMIA workshop.

[07/2022] Our paper on thyroid nodules classification using attribute attention was accepted by IEEE T ULTRASON FERR.

[05/2022] Our paper on ultrasound video keyframes extracting was accepted by MedIA.

[05/2022] Our paper on breast ultrasound lesion segmentation was accepted by MedIA.

[09/2021] Our paper on prognosis analysis using multi-modal data was accepted by IEEE TNNLS.

[09/2021] Our paper on fetal ultrasound standards plane classification was accepted by MICCAI 2021 MLMI workshop.

[06/2021] Our paper on multi-modal ultrasound breast lesion diagnosis was accepted by MedIA.

Selected Publications

➤ General AI for Ultrasound Image Analysis

➤ Ultrasound Image Analysis

Masked Video Modeling with Correlation-Aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound
MICCAI Workshop: Resource-Efficient Medical Image Analysis, 2022. (Oral)

➤ Survial Analysis

➤ More publications see my GoogleScholar

Professional Experience

Jun. 2022 - Oct. 2022

Internship

Shenzhen RayShape Medical Technology
Nov. 2019 - Jun. 2021

Internship

Honors & Awards

The Third Prize, JD Health - Global Medical AI Innovation Competition (Innovative Applications of Medical Large Models), 2024

Full PhD Scholarship, Faculty of Applied Sciences, Macao Polytechnic University, 2023

The First Prize Scholarship of Shenzhen University, 2020, 2021

The Seond Place, China Undergraduate Mathematical Contest in Modeling, 2018



Template is adapted from here.