Masaryk Memorial Cancer Institute

Privacy risks of whole-slide image sharing in digital pathology

Petr Holub, Heimo Müller, Tomáš Bíl et al.

2023 · 32 Zit.

BBMRI-ERIC’s contributions to research and knowledge exchange on COVID-19

Petr Holub, Łukasz Kozera, Francesco Florindi et al.

2020 · 30 Zit.

Large language models for pretreatment education in pediatric radiation oncology: A comparative evaluation study

Dominik Wawrzuta, Aleksandra Napieralska, Kamila Ludwikowska et al.

2025 · 4 Zit.

Exploring the benefits and challenges of AI-driven large language models in gastroenterology: Think out of the box

Jan Král, Michal Hradis, Marek Buzga et al.

2024 · 3 Zit.

Privacy Risks of Whole-Slide Image Sharing in Digital Pathology

Petr Holub, Heimo Müller, Tomáš Bíl et al.

2022 · 1 Zit.

Large language model vs. traditional machine learning: Evaluating predictive models for early detection of tumor relapse

Mohan Timilsina, Samuele Buosi, María Torrente et al.

2025 · 1 Zit.

258P Cancer prevention in real-world laboratory data: AI-assisted data science methodologies

M. Rusinko, Michal Uher, Jana Halámková

2025 · 0 Zit.

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 et al.

2026 · 0 Zit.