5 citations · 5 across the 1 of their papers we have counts for
3 papers
Foundation Model-Driven Classification of Atypical Mitotic Figures with Domain-Aware Training Strategies
Piotr Giedziun, Jan Sołtysik, Mateusz Górczany +7
We present a solution for the MIDOG 2025 Challenge Track~2, addressing binary classification of normal mitotic figures (NMFs) versus atypical mitotic figures (AMFs). The approach l…
RF-DETR for Robust Mitotic Figure Detection: A MIDOG 2025 Track 1 Approach
Piotr Giedziun, Jan Sołtysik, Mateusz Górczany +7
Mitotic figure detection in histopathology images remains challenging due to significant domain shifts across different scanners, staining protocols, and tissue types. This paper p…
SRAI: Towards Standardization of Geospatial AI
Piotr Gramacki, Kacper Leśniara, Kamil Raczycki +3
Spatial Representations for Artificial Intelligence (srai) is a Python library for working with geospatial data. The library can download geospatial data, split a given area into m…