176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Heidelberg UniversityDE15 papers
- University Hospital HeidelbergDE14 papers
- German Cancer Research CenterDE9 papers
- National Center for Tumor DiseasesDE7 papers
- University Hospital Carl Gustav CarusDE4 papers
- Else Kröner Fresenius Center for Digital HealthDE3 papers
- LMU KlinikumDE3 papers
- Ludwig-Maximilians-Universität MünchenDE3 papers
- Universitätsklinikum WürzburgDE3 papers
- University Hospital RegensburgDE3 papers
- University of MannheimDE3 papers
- Comprehensive Cancer Center ErlangenDE2 papers
3 papers · 1 filter
Robust-DefReg: A Robust Deformable Point Cloud Registration Method based on Graph Convolutional Neural Networks
Sara Monji-Azad, Marvin Kinz, Jürgen Hesser
Point cloud registration is a fundamental problem in computer vision that aims to estimate the transformation between corresponding sets of points. Non-rigid registration, in parti…
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
Achim Hekler, Roman C. Maron, Sarah Haggenmüller +28
Background: Convolutional neural network (CNN)-based melanoma classifiers face several challenges that limit their usefulness in clinical practice. Objective: To investigate the im…
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…