Li Tong

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 19

Top Topics

Multiple Instance

Survival Analysis

Automatic Diagnosis

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

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 (2023)
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) (2021)
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 (2021)
Shreyas Malakarjun Patil, Li Tong, May D. Wang
Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image. COMPSAC (2020)
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)
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) (2020)
Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang
EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB (2020)
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)
Juan Carlos Vizcarra, Ryan Place, Li Tong, David A. Gutman, May Dongmei Wang
Fusion In Breast Cancer Histology Classification. BCB (2019)
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) (2019)
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)
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 (2019)
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)
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)
Adrienne E. Dooley, Li Tong, Shriprasad R. Deshpande, May D. Wang
Prediction of heart transplant rejection using histopathological whole-slide imaging. BHI (2018)
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)
Hang Wu, Li Tong, May D. Wang
Improving multi-class classification for endomicroscopic images by semi-supervised learning. BHI (2017)
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)
Sonal Kothari, Hang Wu, Li Tong, Kevin E. Woods, May D. Wang
Automated risk prediction for esophageal optical endomicroscopic images. BHI (2016)
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)