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S. Haggenmüller

5 papers hereh-index 10690 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CL1
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedClinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study

34 citations · 73 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2024

Advancing dermatological diagnosis: Development of a hyperspectral dermatoscope for enhanced skin imaging

Martin J. Hetz, Carina Nogueira Garcia, Sarah Haggenmüller +1

Clinical dermatology necessitates precision and innovation for efficient diagnosis and treatment of various skin conditions. This paper introduces the development of a cutting-edge…

eess.IV2024★ 34 cited

Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study

Lukas Heinlein, Roman C. Maron, Achim Hekler +27

Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence…

eess.IV2023★ 16 cited

Evaluating Deep Learning-based Melanoma Classification using Immunohistochemistry and Routine Histology: A Three Center Study

Christoph Wies, Lucas Schneider, Sarah Haggenmueller +6

Pathologists routinely use immunohistochemical (IHC)-stained tissue slides against MelanA in addition to hematoxylin and eosin (H&E)-stained slides to improve their accuracy in dia…

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