Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Florian Evéquoz

Biographic Data

ID9294022
NAMEFlorian Evéquoz
GIVEN NAMESFlorian
FAMILY NAMEEvéquoz
SIGNATUREEVÉQUOZ F
AFFILIATIONSHES-SO Valais-Wallis
ORCID0000-0002-6052-2252
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Making sense of radiomics

    Open Access•Jakub Mlynář, Adrien Depeursinge et al.•ARTICLE•Frontiers in Communication•2024

    Technologies based on “artificial intelligence” (AI) are transforming every part of our society, including healthcare and medical institutions. An example of this trend is the novel field in oncology and radiology called radiomics, which is the extracting and mining of large-scale quantitative features from medical imaging by machine-learning (ML) algorithms. This paper explores situated work with a radiomics software platform, QuantImage (v2), a…

No prominent works on this page.

  • Making sense of radiomics

    Open Access•Jakub Mlynář, Adrien Depeursinge et al.•ARTICLE•Frontiers in Communication•2024

    Technologies based on “artificial intelligence” (AI) are transforming every part of our society, including healthcare and medical institutions. An example of this trend is the novel field in oncology and radiology called radiomics, which is the extracting and mining of large-scale quantitative features from medical imaging by machine-learning (ML) algorithms. This paper explores situated work with a radiomics software platform, QuantImage (v2), a…

AI in cancer detection (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Computer Science (1 work) · Data science (1 work) · Human–computer interaction (1 work) · Internal Medicine (1 work) · Medicine (1 work) · Observational study (1 work) · Psychology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae