output
20052026
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.

collaborating institutions
Showing 2023Show all

3 papers · 1 filter

physics.med-ph2023★ 9 cited

Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate - blood pressure coupling quantified by entropy-based indices

Paweł Pilarczyk, Grzegorz Graff, José M. Amigó +3

We introduce an entropy-based classification method for pairs of sequences (ECPS) for quantifying mutual dependencies in heart rate and beat-to-beat blood pressure recordings. The…

physics.med-ph2023★ 12 cited

Full-field in vivo experimental study of the strains of a breathing human abdominal wall with intra-abdominal pressure variation

Katarzyna Szepietowska, Mateusz Troka, Monika Lichodziejewska-Niemierko +2

The presented study aims to assess the mechanical behaviour of the anterior abdominal wall based on an in vivo experiment on humans. Full-field measurement of abdominal wall displa…

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…