3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Weakly-supervised Kidney Tumor Classification from CT Scans with Multi-Instance Learning and Anatomical Filtering
Joonas Ariva, Dmytro Fishman
Deep learning models for CT scan analysis are often limited by the scarcity of precise pixel-level annotations, which require significant radiologist effort to produce. Training on…
cs.CV2024★ 3 cited
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images
Dmytro Shvetsov, Joonas Ariva, Marharyta Domnich +2
Deep learning is dramatically transforming the field of medical imaging and radiology, enabling the identification of pathologies in medical images, including computed tomography (…