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institution

Sidney Kimmel Cancer Center

United States

6 papers here927 citations across 6
fields
  • cs.AI1
  • cs.CL1
  • cs.DL1
  • cs.LG1
  • eess.IV1
  • q-bio.QM1
ROR 010h6g454OpenAlex

affiliations via OpenAlex

output
20052024
most citedMeta-Research: COVID-19 medical papers have fewer women first authors than expected

403 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Akifumi Hagiwara1 · h 5
  • A. Mazo1 · h 25
  • A. Nagler1 · h 119
  • C. Croce1 · h 205
  • Chia-Hsuan Chang1 · h 7
  • Christopher C. Yang1 · h 5
  • D. Ueda1 · h 26
  • E. Canaani1 · h 56
  • E. Domany1 · h 72
  • E. Feinstein1 · h 43
  • E. Rappaport1 · h 48
  • F. Coco1 · h 54
collaborating institutions
  • Thomas Jefferson UniversityUS5 papers
  • University of MichiganUS3 papers
  • University of PennsylvaniaUS3 papers
  • Alberta Machine Intelligence InstituteCA2 papers
  • American College of RadiologyUS2 papers
  • Aminu Kano Teaching HospitalNG2 papers
  • Artificial Intelligence in Medicine (Canada)CA2 papers
  • Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
  • Baylor College of MedicineUS2 papers
  • Brigham and Women's HospitalUS2 papers
  • Case Western Reserve UniversityUS2 papers
  • Centre Hospitalier Universitaire de SherbrookeCA2 papers
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2024★ 22 cited

Data Set Terminology of Deep Learning in Medicine: A Historical Review and Recommendation

Shannon L. Walston, Hiroshi Seki, Hirotaka Takita +7

Medicine and deep learning-based artificial intelligence (AI) engineering represent two distinct fields each with decades of published history. With such history comes a set of ter…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.