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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 |
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My current research centers around general 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! |
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[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. |
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➤ 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)
AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound
MedIA, 2021.
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
MICCAI Workshop: Machine Learning in Medical Imaging, 2021. ➤ Survial Analysis
Multi-constraint latent representation learning for prognosis analysis using multi-modal data
IEEE TNNLS, 2021. ➤ More publications see my GoogleScholar |
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Jun. 2022 - Oct. 2022
Internship
Shenzhen RayShape Medical Technology
Nov. 2019 - Jun. 2021
Internship |
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The First Prize Scholarship of Shenzhen University, 2020,2021 The Seond Place, China Undergraduate Mathematical Contest in Modeling, 2018 |
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