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Riga Stradiņš University

Latvia

3 papers here239 citations across 3
fields
  • cs.DC1
  • cs.DL1
  • q-bio.QM1
ROR 03nadks56OpenAlex

affiliations via OpenAlex

most citedDermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

176 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.

  • Bruno P. Kinoshita1
  • B. Vilne1 · h 19
  • Carole A. Goble1 · h 4
  • Denis Yuen1 · h 10
  • D. Garijo1 · h 33
  • Farah Zaib Khan1 · h 4
  • Johannes Köster1
  • Karsten Peters1
  • Khalid Belhajjame1 · h 30
  • Line Pouchard1 · h 2
  • Luiz Gadelha1 · h 3
  • M. Crusoe1 · h 18
collaborating institutions
  • German Cancer Research CenterDE3 papers
  • Barcelona Supercomputing CenterES2 papers
  • Heidelberg UniversityDE2 papers
  • Oak Ridge National LaboratoryUS2 papers
  • The University of MelbourneAU2 papers
  • Universidad Politécnica de MadridES2 papers
  • Universitat Politècnica de CatalunyaES2 papers
  • Université Paris Dauphine-PSLFR2 papers
  • University of AmsterdamNL2 papers
  • University of Duisburg-EssenDE2 papers
  • University of FreiburgDE2 papers
  • University of ManchesterGB2 papers
Showing q-bio.QMShow all

1 paper · 1 filter

q-bio.QM2023★ 176 cited

Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma

Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32

Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…

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