Li Tong
Orcid: 0000-0003-1556-1241Affiliations:
- Georgia Institute of Technology, Atlanta, GA, USA
- Emory University, Atlanta, GA, USA
According to our database1,
Li Tong
authored at least 22 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection.
J. Biomed. Informatics, March, 2023
2021
PhD thesis, 2021
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks.
IEEE J. Biomed. Health Informatics, 2021
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review.
CoRR, 2021
2020
Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.
BMC Medical Informatics Decis. Mak., 2020
Generating Region of Interests for Invasive Breast Cancer in Histopathological Whole-Slide-Image.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
TLSurv: Integrating Multi-Omics Data by Multi-Stage Transfer Learning for Cancer Survival Prediction.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images.
J. Am. Medical Informatics Assoc., 2019
CoRR, 2019
Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019
A Translational Pipeline for Overall Survival Prediction of Breast Cancer Patients by Decision-Level Integration of Multi-Omics Data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Learning to Evaluate Color Similarity for Histopathology Images using Triplet Networks.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
2018
Prediction of heart transplant rejection using histopathological whole-slide imaging.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Improving multi-class classification for endomicroscopic images by semi-supervised learning.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropout.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
Proceedings of the 6th ACM Conference on Bioinformatics, 2015