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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.
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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.
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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.
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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.
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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.
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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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.