Li Tong - RankMe

24 papers B 1Journal 7Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fairness Artificial Intelligence in Clinical Decision Support: Mitigating Effect of Health Disparity. IEEE J. Biomed. Health Informatics Hang Wu, Yuanda Zhu, Wenqi Shi, Li Tong, May D. Wang
2024	—	`conf`	A Multi-Contrast Translation-Based Registration Approach for Distortion Correction in DTI. EMBC Ya Cui, Siyu Yuan, Zhenkui Wang, Li Tong, Jie Luo
2023	J	`jnl`	Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection. J. Biomed. Informatics 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
2021	J	`jnl`	COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks. IEEE J. Biomed. Health Informatics Wenqi Shi, Li Tong, Yuanda Zhu, May D. Wang
2021	—	`—`	Enabling precision medicine by integrating multi-modal biomedical data. Li Tong
2021	J	`jnl`	Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review. CoRR Felipe O. Giuste, Wenqi Shi, Yuanda Zhu, Tarun Naren, Monica Isgut, Ying Sha, Li Tong, Mitali S. Gupte, May D. Wang
2020	—	`conf`	Automated Classification of Acute Rejection from Endomyocardial Biopsies. BCB Felipe O. Giuste, Mythreye Venkatesan, Conan Zhao, Li Tong, Yuanda Zhu, Shriprasad R. Deshpande, May D. Wang
2020	J	`jnl`	Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis. BMC Medical Informatics Decis. Mak. Li Tong, Jonathan Mitchel, Kevin Chatlin, May D. Wang
2020	—	`conf`	EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis. BCB Wenqi Shi, Li Tong, Yuchen Zhuang, Yuanda Zhu, May D. Wang
2020	B	`conf`	Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image. COMPSAC Shreyas Malakarjun Patil, Li Tong, May D. Wang
2020	—	`conf`	TLSurv: Integrating Multi-Omics Data by Multi-Stage Transfer Learning for Cancer Survival Prediction. BCB Yixing Jiang, Kristen Alford, Frank Ketchum, Li Tong, May D. Wang
2019	—	`conf`	A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data. BIBM Jonathan Mitchel, Kevin Chatlin, Li Tong, May D. Wang
2019	J	`jnl`	CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images. J. Am. Medical Informatics Assoc. Li Tong, Hang Wu, May D. Wang
2019	—	`conf`	Fusion In Breast Cancer Histology Classification. BCB Juan Carlos Vizcarra, Ryan Place, Li Tong, David A. Gutman, May Dongmei Wang
2019	—	`conf`	Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging. BHI Yuanda Zhu, Li Tong, Shriprasad R. Deshpande, May D. Wang
2019	—	`conf`	Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks. COMPSAC (1) Li Tong, Ying Sha, May D. Wang
2019	—	`conf`	Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks. BCB Anirudh Choudhary, Hang Wu, Li Tong, May D. Wang
2019	J	`jnl`	Mitigating the Effect of Dataset Bias on Training Deep Models for Chest X-rays. CoRR Yundong Zhang, Hang Wu, Huiye Liu, Li Tong, May D. Wang
2018	—	`conf`	Prediction of heart transplant rejection using histopathological whole-slide imaging. BHI Adrienne E. Dooley, Li Tong, Shriprasad R. Deshpande, May D. Wang
2017	—	`conf`	Improving multi-class classification for endomicroscopic images by semi-supervised learning. BHI Hang Wu, Li Tong, May D. Wang
2017	—	`conf`	Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropout. BHI Li Tong, Ryan Hoffman, Shriprasad R. Deshpande, May D. Wang
2016	—	`conf`	Automated risk prediction for esophageal optical endomicroscopic images. BHI Sonal Kothari, Hang Wu, Li Tong, Kevin E. Woods, May D. Wang
2016	—	`conf`	Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls. BHI Li Tong, Cheng Yang, Po-Yen Wu, May D. Wang
2015	—	`conf`	The impact of RNA-seq aligners on gene expression estimation. BCB Cheng Yang, Po-Yen Wu, Li Tong, John H. Phan, May D. Wang