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Noah Schaefferkoetter
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2020 – today
- 2024
- [j5]Alina Peluso
, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd-Yusof
Deep learning uncertainty quantification for clinical text classification. J. Biomed. Informatics 149: 104576 (2024) - 2023
- [j4]Adam Spannaus
FrESCO: Framework for Exploring Scalable Computational Oncology. J. Open Source Softw. 8(90): 5345 (2023) - 2021
- [j3]Kevin De Angeli, Shang Gao
Deep active learning for classifying cancer pathology reports. BMC Bioinform. 22(1): 113 (2021) - [j2]Shang Gao
Limitations of Transformers on Clinical Text Classification. IEEE J. Biomed. Health Informatics 25(9): 3596-3607 (2021) - 2020
- [i1]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, Linda Coyle, Lynne Penberthy, Benjamin McMahon, Tanmoy Bhattacharya:
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports. CoRR abs/2009.05094 (2020)
2010 – 2019
- 2019
- [j1]Shang Gao, John X. Qiu, Mohammed M. Alawad, Jacob D. Hinkle
Classifying cancer pathology reports with hierarchical self-attention networks. Artif. Intell. Medicine 101 (2019) - [c2]Mohammed M. Alawad, Shang Gao, John X. Qiu, Noah Schaefferkoetter, Jacob D. Hinkle
Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports. BHI 2019: 1-4 - [c1]John X. Qiu, Shang Gao, Mohammed M. Alawad, Noah Schaefferkoetter, Folami Alamudun, Hong-Jun Yoon, Xiao-Cheng Wu, Georgia D. Tourassi:
Semi-Supervised Information Extraction for Cancer Pathology Reports. BHI 2019: 1-4
Coauthor Index
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last updated on 2024-05-08 21:02 CEST by the dblp team
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