Jonas Annuscheit

Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images

Christoph Jansen, Dagmar Krefting, Bruno Schilling, 2019, 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Higher Education Teaching Material on Machine Learning in the Domain of Digital Pathology

Oliver Fischer, Peter Hufnagl, Christian Herta, 2020, AI and ML for Digital Pathology.

Curious Containers: A framework for computational reproducibility in life sciences with support for Deep Learning applications

Michael Witt, Peter Hufnagl, Felix Bartusch, 2020, Future Gener. Comput. Syst..

CONVOLUTIONAL NEURAL NETWORKS AND RANDOM FORESTS FOR DETECTION AND CLASSIFICATION OF METASTASIS IN HISTOLOGICAL SLIDES

Peter Hufnagl, Christian Herta, Klaus Strohmenger, 2018 .