Shang Gao
Title
Cited by
Cited by
Year
Hierarchical attention networks for information extraction from cancer pathology reports
S Gao, MT Young, JX Qiu, HJ Yoon, JB Christian, PA Fearn, GD Tourassi, ...
Journal of the American Medical Informatics Association 25 (3), 321-330, 2018
742018
Hierarchical convolutional attention networks for text classification
S Gao, A Ramanathan, G Tourassi
Proceedings of The Third Workshop on Representation Learning for NLP, 11-23, 2018
362018
Deep clustering of protein folding simulations
D Bhowmik, S Gao, MT Young, A Ramanathan
BMC bioinformatics 19 (18), 47-58, 2018
322018
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks
M Alawad, S Gao, JX Qiu, HJ Yoon, J Blair Christian, L Penberthy, ...
Journal of the American Medical Informatics Association 27 (1), 89-98, 2020
232020
Classifying cancer pathology reports with hierarchical self-attention networks
S Gao, JX Qiu, M Alawad, JD Hinkle, N Schaefferkoetter, HJ Yoon, ...
Artificial intelligence in medicine 101, 101726, 2019
102019
Visualization for classification in deep neural networks
J Chae, S Gao, A Ramanathan, CA Steed, G Tourassi
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2017
62017
Model-based hyperparameter optimization of convolutional neural networks for information extraction from cancer pathology reports on hpc
HJ Yoon, J Gounley, S Gao, M Alawad, A Ramanathan, G Tourassi
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
52019
Deep transfer learning across cancer registries for information extraction from pathology reports
M Alawad, S Gao, J Qiu, N Schaefferkoetter, JD Hinkle, HJ Yoon, ...
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
32019
Limitations of Transformers on Clinical Text Classification
S Gao, M Alawad, MT Young, J Gounley, N Schaefferkoetter, HJ Yoon, ...
IEEE journal of biomedical and health informatics, 2021
12021
A pre-training and self-training approach for biomedical named entity recognition
S Gao, O Kotevska, A Sorokine, JB Christian
PloS one 16 (2), e0246310, 2021
12021
Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports
HJ Yoon, HB Klasky, JP Gounley, M Alawad, S Gao, EB Durbin, XC Wu, ...
Journal of Biomedical Informatics 110, 103564, 2020
12020
Using case-level context to classify cancer pathology reports
S Gao, M Alawad, N Schaefferkoetter, L Penberthy, XC Wu, EB Durbin, ...
PloS one 15 (5), e0232840, 2020
12020
Privacy-Preserving Deep Learning NLP Models for Cancer Registries
M Alawad, HJ Yoon, S Gao, B Mumphrey, XC Wu, EB Durbin, JC Jeong, ...
IEEE Transactions on Emerging Topics in Computing, 1-1, 2020
12020
Deep active learning for classifying cancer pathology reports
K De Angeli, S Gao, M Alawad, HJ Yoon, N Schaefferkoetter, XC Wu, ...
BMC bioinformatics 22 (1), 1-25, 2021
2021
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping
M Alawad, S Gao, MC Shekar, SM Hasan, JB Christian, XC Wu, ...
arXiv preprint arXiv:2101.01337, 2021
2021
Multimodal Data Representation with Deep Learning for Extracting Cancer Characteristics from Clinical Text
M Alawad, S Gao, FT Alamudun, XC Wu, EB Durbin, J Doherty, A Stroup, ...
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2020
2020
Adversarial Training for Privacy-Preserving Deep Learning Model Distribution
M Alawad, S Gao, XC Wu, EB Durbin, L Coyle, L Penberthy, G Tourassi
2019 IEEE International Conference on Big Data (Big Data), 5705-5710, 2019
2019
Semi-Supervised Information Extraction for Cancer Pathology Reports
JX Qiu, S Gao, M Alawad, N Schaefferkoetter, F Alamudun, HJ Yoon, ...
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
2019
Hierarchical Neural Architectures for Classifying Cancer Pathology Reports
S Gao
2019
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Articles 1–19