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ORCIDLi Tong 0001
Person information
- affiliation: Georgia Institute of Technology, Atlanta, GA, USA
- affiliation: Emory University, Atlanta, GA, USA
Other persons with the same name
- Li Tong — disambiguation page
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2020 – today
- 2023
[j4]Felipe O. Giuste
, Ryan Sequeira, Vikranth Keerthipati, Peter Lais, Ali Mirzazadeh, Arshawn Mohseni, Yuanda Zhu, Wenqi Shi, Benoit Marteau, Yishan Zhong, Li Tong, Bibhuti Das, Bahig M. Shehata, Shriprasad R. Deshpande, May D. Wang:
Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection. J. Biomed. Informatics 139: 104303 (2023)- 2021
- [b1]Li Tong:
Enabling precision medicine by integrating multi-modal biomedical data. Georgia Institute of Technology, Atlanta, GA, USA, 2021 - [j3]Wenqi Shi, Li Tong, Yuanda Zhu, May D. Wang:
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. IEEE J. Biomed. Health Informatics 25(7): 2376-2387 (2021) - [i2]Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang:
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. CoRR abs/2112.12705 (2021) - 2020
- [j2]Li Tong, Jonathan Mitchel, Kevin Chatlin, May D. Wang:
Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis. BMC Medical Informatics Decis. Mak. 20(1): 225 (2020) - [c15]Felipe O. Giuste, Mythreye Venkatesan, Conan Zhao, Li Tong, Yuanda Zhu, Shriprasad R. Deshpande, May D. Wang:
Automated Classification of Acute Rejection from Endomyocardial Biopsies. BCB 2020: 6:1-6:9 - [c14]Yixing Jiang, Kristen Alford, Frank Ketchum, Li Tong, May D. Wang:
TLSurv: Integrating Multi-Omics Data by Multi-Stage Transfer Learning for Cancer Survival Prediction. BCB 2020: 23:1-23:10 - [c13]Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang:
EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB 2020: 36:1-36:6 - [c12]Shreyas Malakarjun Patil, Li Tong, May D. Wang:
Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image. COMPSAC 2020: 723-728
2010 – 2019
- 2019
- [j1]Li Tong, Hang Wu, May D. Wang:
CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images. J. Am. Medical Informatics Assoc. 26(11): 1286-1296 (2019) - [c11]Anirudh Choudhary, Hang Wu, Li Tong, May D. Wang:
Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks. BCB 2019: 466-474 - [c10]Juan Carlos Vizcarra, Ryan Place, Li Tong, David A. Gutman, May Dongmei Wang:
Fusion In Breast Cancer Histology Classification. BCB 2019: 485-493 - [c9]Yuanda Zhu, Li Tong, Shriprasad R. Deshpande, May D. Wang:
Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging. BHI 2019: 1-4 - [c8]Jonathan Mitchel, Kevin Chatlin, Li Tong, May D. Wang:
A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data. BIBM 2019: 1573-1580 - [c7]Li Tong, Ying Sha, May D. Wang:
Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks. COMPSAC (1) 2019: 696-703 - [i1]Yundong Zhang, Hang Wu, Huiye Liu, Li Tong, May D. Wang:
Mitigating the Effect of Dataset Bias on Training Deep Models for Chest X-rays. CoRR abs/1910.06745 (2019) - 2018
- [c6]Adrienne E. Dooley, Li Tong, Shriprasad R. Deshpande, May D. Wang:
Prediction of heart transplant rejection using histopathological whole-slide imaging. BHI 2018: 251-254 - 2017
- [c5]Li Tong, Ryan Hoffman, Shriprasad R. Deshpande, May D. Wang:
Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropout. BHI 2017: 1-4 - [c4]Hang Wu, Li Tong, May D. Wang:
Improving multi-class classification for endomicroscopic images by semi-supervised learning. BHI 2017: 5-8 - 2016
- [c3]Li Tong, Cheng Yang, Po-Yen Wu, May D. Wang:
Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls. BHI 2016: 74-77 - [c2]Sonal Kothari, Hang Wu, Li Tong, Kevin E. Woods, May D. Wang:
Automated risk prediction for esophageal optical endomicroscopic images. BHI 2016: 160-163 - 2015
- [c1]Cheng Yang, Po-Yen Wu, Li Tong, John H. Phan, May D. Wang:
The impact of RNA-seq aligners on gene expression estimation. BCB 2015: 462-471
Coauthor Index
aka: May Dongmei Wang
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