Noah Schaefferkoetter

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Using case-level context to classify cancer pathology reports”.

Using case-level context to classify cancer pathology reports

PLoS ONE(2020)10.1371/journal.pone.0232840

N/A

0DataRank · unranked

24 citations

Mohammed Alawad, Noah Schaefferkoetter, Lynne Penberthy, Xiao‐Cheng Wu, Eric B. Durbin +4 more

Deep Active Learning for Classifying Cancer Pathology Reports

Research Square(2020)10.21203/rs.3.rs-70788/v1

N/A

0DataRank · unranked

2 citations

Shang Gao, Mohammed Alawad, Hong‐Jun Yoon, Noah Schaefferkoetter, Xiao-Cheng Wu +7 more

Limitations of Transformers on Clinical Text Classification

IEEE Journal of Biomedical and Health Informatics(2021)10.1109/jbhi.2021.3062322

N/A

0DataRank · unranked

156 citations

Mohammed Alawad, M. Todd Young, John Gounley, Noah Schaefferkoetter, Hong‐Jun Yoon +7 more

Deep active learning for classifying cancer pathology reports

BMC Bioinformatics(2021)10.1186/s12859-021-04047-1

N/A

0DataRank · unranked

40 citations

Shang Gao, Mohammed Alawad, Hong‐Jun Yoon, Noah Schaefferkoetter, Xiao‐Cheng Wu +7 more

Deep learning uncertainty quantification for clinical text classification

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104576

N/A

0DataRank · unranked

8 citations

Ioana Danciu, Hong‐Jun Yoon, Jamaludin Mohd‐Yusof, Tanmoy Bhattacharya, Adam Spannaus +12 more