M. Gallo

Shedding Light on the Black Box of a Neural Network Used to Detect Prostate Cancer in Whole Slide Images by Occlusion-Based Explainability

P. Holub, R. Nenutil, T. Brázdil, 2022, bioRxiv.

Lightweight Distributed Provenance Model for Complex Real–world Environments

P. Holub, Heimo Müller, M. Plass, 2022, Scientific Data.

Automated annotations of epithelial cells and stroma in hematoxylin–eosin‐stained whole‐slide images using cytokeratin re‐staining

R. Nenutil, T. Brázdil, P. Holub, 2021, The journal of pathology. Clinical research.

Provenance of specimen and data - A prerequisite for AI development in computational pathology.

Heimo Müller, M. Plass, F. Frexia, 2023, New Biotechnology.

xOpat: eXplainable Open Pathology Analysis Tool

P. Holub, R. Nenutil, B. Kozlíková, 2023, Computer Graphics Forum.