2022Medical Image Analysis
Team

Biography
Dr. Ze-Ping HUANG trained in colorectal surgery at the Sixth Affiliated Hospital of Sun Yat-sen University. His work with the lab applied bioinformatics and medical imaging to prognostic research in intestinal tumors. He subsequently began doctoral training in Prof. Hui Wang's research group.
Research Interests
- Bioinformatics
- Colorectal Cancer
Education
- Master of Medicine in Clinical MedicineSun Yat-sen University2019 - 2022
- Bachelor of Medicine in Clinical MedicineSouthern Medical University2014 - 2019
Current
PhD StudentThe Sixth Affiliated Hospital of Sun Yat-sen University
Lab highlights
Highlighted publications
All related publications
Journal ArticleApr 1, 2023Cancer Medicine
An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer
Journal ArticleDec 8, 2022Journal of Translational Medicine
CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective study
Journal ArticleSep 7, 2022Frontiers in Genetics
Predicting prognosis and immunotherapy response among colorectal cancer patients based on a tumor immune microenvironment-related lncRNA signature
Journal ArticleAug 1, 2022Medical Image Analysis
Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
Journal ArticleJun 30, 2022Frontiers in Oncology
A transcription factor signature can identify the CMS4 subtype and stratify the prognostic risk of colorectal cancer
Min-Er Zhong†, Ze-Ping Huang†, Xun Wang†, Du Cai, Cheng-Hang Li, Feng Gao*, Xiao-Jian Wu*, Wei Wang*
Conference PaperJun 1, 2022Journal of Clinical Oncology
A tumor immune microenvironment-related lncRNA signature for the prognosis and immunotherapeutic sensitivity prediction in colorectal cancer.
Journal ArticleMay 12, 2022Frontiers in Genetics
Multi-size deep learning based preoperative computed tomography signature for prognosis prediction of colorectal cancer
Journal ArticleMar 11, 2022Frontiers in Genetics
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
Conference PaperMay 20, 2021Journal of Clinical Oncology
Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
Conference PaperMay 20, 2021Journal of Clinical Oncology
A model combing an immune-related genes signature and an extracellular matrix-related genes signature in predicting prognosis of left-and right-sided colon cancer
Conference PaperMay 20, 2021Journal of Clinical Oncology
Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.
Journal ArticleJan 7, 2021Frontiers in Molecular Biosciences
A metabolism-related radiomics signature for predicting the prognosis of colorectal cancer
Conference PaperJul 13, 2020Intelligent Systems for Molecular Biology