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Li 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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Books and Theses
- 2021
- [b1]Li Tong:
Enabling precision medicine by integrating multi-modal biomedical data. Georgia Institute of Technology, Atlanta, GA, USA, 2021
Journal Articles
- 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
- [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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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 - 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
Informal and Other Publications
- 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) - 2019
- [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)
Coauthor Index
aka: May Dongmei Wang
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