Markus D. Herrmann

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 5

Top Topics

Machine Learning

Top Venues

Comput. Methods Programs Biomed.

J. Digit. Imaging

Publications

Tomé Albuquerque, Anil Yüce, Markus D. Herrmann, Alvaro Gomariz
Characterizing the Interpretability of Attention Maps in Digital Pathology. CoRR (2024)
Daniela P. Schacherer, Markus D. Herrmann, David A. Clunie, Henning Höfener, William Clifford, William J. R. Longabaugh, Steve Pieper, Ron Kikinis, Andrey Fedorov, André Homeyer
The NCI Imaging Data Commons as a platform for reproducible research in computational pathology. CoRR (2023)
Daniela P. Schacherer, Markus D. Herrmann, David A. Clunie, Henning Höfener, William Clifford, William J. R. Longabaugh, Steven D. Pieper, Ron Kikinis, Andrey Fedorov, André Homeyer
The NCI Imaging Data Commons as a platform for reproducible research in computational pathology. Comput. Methods Programs Biomed. 242 (2023)
Christopher P. Bridge, Chris Gorman, Steven D. Pieper, Sean W. Doyle, Jochen K. Lennerz, Jayashree Kalpathy-Cramer, David A. Clunie, Andriy Fedorov, Markus D. Herrmann
Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology. J. Digit. Imaging 35 (6) (2022)
Christopher P. Bridge, Chris Gorman, Steven D. Pieper, Sean W. Doyle, Jochen K. Lennerz, Jayashree Kalpathy-Cramer, David A. Clunie, Andriy Fedorov, Markus D. Herrmann
Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology. CoRR (2021)