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Hong Jun Yoon

Showing results (21-30 of 36) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|November 21, 2017
Hierarchical attention networks for information extraction from cancer pathology reportsShang Gao, Michael T Young, John X Qiu, et al.
JAMIA Open|June 20, 2022
Automatic information extraction from childhood cancer pathology reportsHong-Jun Yoon, Alina Peluso, Eric B Durbin, et al.
Journal of the American Medical Informatics Association : JAMIA|November 12, 2019
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networksMohammed Alawad, Shang Gao, John X Qiu, et al.
BMC Bioinformatics|December 23, 2018
Scalable deep text comprehension for Cancer surveillance on high-performance computingJohn X Qiu, Hong-Jun Yoon, Kshitij Srivastava, et al.
IEEE Journal of Biomedical and Health Informatics|February 26, 2021
Limitations of Transformers on Clinical Text ClassificationShang Gao, Mohammed Alawad, M Todd Young, et al.
BMC Bioinformatics|March 22, 2021
Deep active learning for classifying cancer pathology reportsKevin De Angeli, Shang Gao, Mohammed Alawad, et al.
IEEE Transactions on Emerging Topics in Computing|September 19, 2022
Privacy-Preserving Deep Learning NLP Models for Cancer RegistriesMohammed Alawad, Hong-Jun Yoon, Shang Gao, et al.
BMC Medical Informatics and Decision Making|September 17, 2024
Development of message passing-based graph convolutional networks for classifying cancer pathology reportsHong-Jun Yoon, Hilda B Klasky, Andrew E Blanchard, et al.
JAMIA Open|September 16, 2022
Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reportsKevin De Angeli, Shang Gao, Andrew Blanchard, et al.
Artificial Intelligence in Medicine|December 10, 2019
Classifying cancer pathology reports with hierarchical self-attention networksShang Gao, John X Qiu, Mohammed Alawad, et al.
Pageof 4

Showing results (21-30 of 36) with videos related to

Sort By:
Pageof 4
Journal of the American Medical Informatics Association : JAMIA|November 21, 2017
Hierarchical attention networks for information extraction from cancer pathology reportsShang Gao, Michael T Young, John X Qiu, et al.
JAMIA Open|June 20, 2022
Automatic information extraction from childhood cancer pathology reportsHong-Jun Yoon, Alina Peluso, Eric B Durbin, et al.
Journal of the American Medical Informatics Association : JAMIA|November 12, 2019
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networksMohammed Alawad, Shang Gao, John X Qiu, et al.
BMC Bioinformatics|December 23, 2018
Scalable deep text comprehension for Cancer surveillance on high-performance computingJohn X Qiu, Hong-Jun Yoon, Kshitij Srivastava, et al.
IEEE Journal of Biomedical and Health Informatics|February 26, 2021
Limitations of Transformers on Clinical Text ClassificationShang Gao, Mohammed Alawad, M Todd Young, et al.
BMC Bioinformatics|March 22, 2021
Deep active learning for classifying cancer pathology reportsKevin De Angeli, Shang Gao, Mohammed Alawad, et al.
IEEE Transactions on Emerging Topics in Computing|September 19, 2022
Privacy-Preserving Deep Learning NLP Models for Cancer RegistriesMohammed Alawad, Hong-Jun Yoon, Shang Gao, et al.
BMC Medical Informatics and Decision Making|September 17, 2024
Development of message passing-based graph convolutional networks for classifying cancer pathology reportsHong-Jun Yoon, Hilda B Klasky, Andrew E Blanchard, et al.
JAMIA Open|September 16, 2022
Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reportsKevin De Angeli, Shang Gao, Andrew Blanchard, et al.
Artificial Intelligence in Medicine|December 10, 2019
Classifying cancer pathology reports with hierarchical self-attention networksShang Gao, John X Qiu, Mohammed Alawad, et al.
Pageof 4