Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. - Mohammed M. Alawad; Shang Gao 008; John X. Qiu; Noah Schaefferkoetter; Jacob D. Hinkle; Hong-Jun Yoon; James Blair Christian; Xiao-Cheng Wu; Eric B. Durbin; Jong Cheol Jeong; Isaac Hands; David Rust; et al. (BHI, 2019)

Semi-Supervised Information Extraction for Cancer Pathology Reports. - John X. Qiu; Shang Gao 008; Mohammed M. Alawad; Noah Schaefferkoetter; Folami Alamudun; Hong-Jun Yoon; Xiao-Cheng Wu; Georgia D. Tourassi (BHI, 2019)

Classifying cancer pathology reports with hierarchical self-attention networks. - Shang Gao 008; John X. Qiu; Mohammed M. Alawad; Jacob D. Hinkle; Noah Schaefferkoetter; Hong-Jun Yoon; James Blair Christian; Paul A. Fearn; Lynne Penberthy; Xiao-Cheng Wu; Linda Coyle; Georgia D. Tourassi; et al. (Artif. Intell. Medicine, 2019)

Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. - Sayera Dhaubhadel; Jamaludin Mohd-Yusof; Kumkum Ganguly; Gopinath Chennupati; Sunil Thulasidasan; Nicolas W. Hengartner; Brent J. Mumphrey; Eric B. Durbin; Jennifer A. Doherty; Mireille Lemieux; Noah Schaefferkoetter; Georgia D. Tourassi; et al. (CoRR, 2020)

Deep active learning for classifying cancer pathology reports. - Kevin De Angeli; Shang Gao 008; Mohammed M. Alawad; Hong-Jun Yoon; Noah Schaefferkoetter; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Lynne Penberthy; Georgia D. Tourassi (BMC Bioinform., 2021)

Limitations of Transformers on Clinical Text Classification. - Shang Gao 008; Mohammed M. Alawad; M. Todd Young; John Gounley; Noah Schaefferkoetter; Hong-Jun Yoon; Xiao-Cheng Wu; Eric B. Durbin; Jennifer A. Doherty; Antoinette Stroup; Linda Coyle; Georgia D. Tourassi (IEEE J. Biomed. Health Informatics, 2021)

FrESCO: Framework for Exploring Scalable Computational Oncology. - Adam Spannaus; John Gounley; Mayanka Chandra Shekar; Zachary R. Fox; Jamaludin Mohd-Yusof; Noah Schaefferkoetter; Heidi A. Hanson (J. Open Source Softw., 2023)

Deep learning uncertainty quantification for clinical text classification. - Alina Peluso; Ioana Danciu; Hong-Jun Yoon; Jamaludin Mohd-Yusof; Tanmoy Bhattacharya 001; Adam Spannaus; Noah Schaefferkoetter; Eric B. Durbin; Xiao-Cheng Wu; Antoinette Stroup; Jennifer A. Doherty; Stephen M. Schwartz; et al. (J. Biomed. Informatics, 2024)