Max Schmitt
German Cancer Research Center(DE)Heidelberg University(DE)National Center for Tumor Diseases(DE)
Publications by Year
Research Areas
AI in cancer detection, Cutaneous Melanoma Detection and Management, Protease and Inhibitor Mechanisms, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques
Most-Cited Works
- → Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images(2019)275 cited
- → Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective(2020)183 cited
- → Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study(2020)86 cited
- → Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer(2021)67 cited
- → Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists(2021)65 cited
- → Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours(2021)64 cited