Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
CAESNet: Convolutional AutoEncoder based Semi-supervised Network for Improving Multi-class Classification of Endomicroscopic Images
Published in Journal of American Medical Informatics Association, 2019
Developed a convolutional autoencoder for semi-supervised learning of endomicroscopic images for improved diagnosis of Barrett’s Esophagus (BE).
Recommended citation: Tong L, Wu H, and Wang MD. " CAESNet: Convolutional AutoEncoder based Semi-supervised Network for Improving Multi-class Classification of Endomicroscopic Images. " Journal of American Medical Informatics Association. 2019 Nov;26(11):1286-96.
Download Paper
Deep Learning based Feature-Level Integration of Multi-Omics Data for Breast Cancer Patients Survival Analysis
Published in BMC Medical Informatics and Decision Making, 2020
Developed a cross-modality translation network to integrate multi-omics data for cancer survival analysis.
Recommended citation: Tong L, Mitchel J, Chatlin K, Wang MD. "Deep Learning based Feature-Level Integration of Multi-Omics Data for Breast Cancer Patients Survival Analysis. " BMC Medical Informatics and Decision Making. 2020 Sep 15;20(1):225.
Download Paper
Integrating Multi-Omics Data by Learning Modality Invariant Representations for Improved Prediction of Overall Survival of Cancer
Published in Methods, 2021
Designed a divergence-based consensus learning method to learn modality-invariant representation.
Recommended citation: Tong L, Wu H, and Wang MD. " Integrating Multi-Omics Data by Learning Modality Invariant Representations for Improved Prediction of Overall Survival of Cancer. " Methods. 2021 May 1;189:74-85.
Download Paper
Introduction of medical genomics and clinical informatics integration for p-Health care
Published in Progress in Molecular Biology and Translational Science, 2022
This paper is about medical genomics and clinical informatics integration for p-Health care.
Recommended citation: Tong L, Wu H, Wang MD, and Wang G. " Introduction of medical genomics and clinical informatics integration for p-Health care. " Progress in Molecular Biology and Translational Science. 2022 Jan 1;190(1):1-37.
Download Paper
Integrating multi-omics data with EHR for precision medicine using advanced artificial intelligence
Published in IEEE Reviews in Biomedical Engineering, 2023
This paper is a review paper on multi-modal biomedical data integration for precision medicine.
Recommended citation: Tong L, Shi W, Isgut M, Zhong Y, Lais P, Gloster L, Sun J, Swain A, Giuste FO, and Wang MD. " Integrating multi-omics data with EHR for precision medicine using advanced artificial intelligence. " IEEE Reviews in Biomedical Engineering. 2023 Oct 12;17:80-97.
Download Paper
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Graduate Teaching Assistant
Undergraduate/graduate course, Georgia Institute of Technology, Department of Biomedical Engineering, 2019
Medical Image Processing
Facilitated “BMED6780/ECE6780/BMED4783/ECE4783 Medical Image Processing” (undergraduate and graduate level) at Gatech: giving guest lectures, leading discussion sessions, and mentoring course projects.