Rudolf Nenutil

According to our database, Rudolf Nenutil authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

LSP-DETR: Efficient and Scalable Nuclei Segmentation in Whole Slide Images.

Matej Pekár, Vít Musil, Rudolf Nenutil, Petr Holub, Tomás Brázdil

CoRR, January, 2026

From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology.

Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul R. Torke, Michaela Kargl, Heimo Müller, Tomás Brázdil, Matej Gallo, Jaroslav Kubín, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub

Artif. Intell. Medicine, 2026

Explaining Digital Pathology Models Via Clustering Activations.

Adam Bajger, Jan Obdrzálek, Vojtech Kur, Rudolf Nenutil, Petr Holub, Vít Musil, Tomás Brázdil

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Standardized Multi-Layer Tissue Maps for Enhanced Artificial Intelligence Integration and Search in Large-Scale Whole Slide Image Archives.

Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul R. Torke, Michaela Kargl, Heimo Müller, Tomás Brázdil, Matej Gallo, Jaroslav Kubín, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub

CoRR, August, 2025

2023

xOpat: eXplainable Open Pathology Analysis Tool.

Jirí Horák, Katarína Furmanová, Barbora Kozlíková, Tomás Brázdil, Petr Holub, M. Kacenga, Matej Gallo, Rudolf Nenutil, Jan Byska, Vít Rusnák

Comput. Graph. Forum, June, 2023

2022

Explainable Artificial Intelligence for Breast Tumour Classification: Helpful or Harmful.

Amy Rafferty, Rudolf Nenutil, Ajitha Rajan

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022