Max Schmitt

German Cancer Research Center — Germany

Computer Science · Physical Sciences

16h-index1.2kcitations54works25.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

AI in cancer detection(24), Cutaneous Melanoma Detection and Management(19), Protease and Inhibitor Mechanisms(9), Radiomics and Machine Learning in Medical Imaging(8), Cell Image Analysis Techniques(6)

Publications53 total

Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics
JAMA Dermatology·2024· 45 citedOpen Access
Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning
Journal of the American Academy of Dermatology·2024· 5 citedOpen Access
Deep learning to predict breast cancer sentinel lymph node status on INSEMA histological images
European Journal of Cancer·2023· 16 citedOpen Access
A self-supervised vision transformer to predict survival from histopathology in renal cell carcinoma
World Journal of Urology·2023· 21 citedOpen Access
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
arXiv (Cornell University)·2023Open Access
167P Deep learning-based whole slide image analysis to predict sentinel node status in the INSEMA cohort
ESMO Open·2023Open Access
Deep Learning to Predict Breast Cancer Sentinel Lymph Node Status on Insema Histological Images
SSRN Electronic Journal·2023· 1 citedOpen Access
Deep learning can predict survival directly from histology in clear cell renal cell carcinoma
PLoS ONE·2022· 36 citedOpen Access
Evaluation of an Inertial and Optical Sensors Based Mapping and Localization System
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering·2022
Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours
European Journal of Cancer·2021· 64 citedOpen Access
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review
Journal of Medical Internet Research·2021· 56 citedOpen Access
Reducing the Impact of Confounding Factors on Skin Cancer Classification via Image Segmentation: Technical Model Study
Journal of Medical Internet Research·2021· 24 citedOpen Access
Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer
British Journal of Urology·2021· 64 citedOpen Access
Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists
Journal of the American Academy of Dermatology·2021· 65 citedOpen Access
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study
Journal of Medical Internet Research·2021· 59 citedOpen Access
Object Detection and Mapping with Unmanned Aerial Vehicles Using Convolutional Neural Networks
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering·2021· 5 cited
Überdiagnose von Melanomen – Ursachen, Konsequenzen und Lösungsansätze
JDDG Journal der Deutschen Dermatologischen Gesellschaft·2020
System Setup for Synchronized Visual-Inertial Localization and Mapping
2020· 4 cited
Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study
Journal of Medical Internet Research·2020· 84 citedOpen Access
Overdiagnosis of melanoma – causes, consequences and solutions
JDDG Journal der Deutschen Dermatologischen Gesellschaft·2020· 47 cited
page 1 of 3Next →

Frequent Co-authors

Titus J. Brinker(23), Eva Krieghoff‐Henning(21), Achim Hekler(18), Jochen Utikal(18), Roman C. Maron(14), Stefan Fröhling(13), Dirk Schadendorf(10), Wiebke Sondermann(10), Christof von Kalle(10), Markus V. Heppt(10), Jakob Nikolas Kather(10), Axel Hauschild(9), Sebastian Haferkamp(9), Heinz Kutzner(8), Justin Gabriel Schlager(8), Dieter Krahl(7), Tanja Jutzi(7), Bastian Schilling(7), Kamran Ghoreschi(7), Friedegund Meier(6)