3 papers
cs.CV2026
Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos
Luca Parolari, Pietro Gori, Lamberto Ballan +2
Learning robust representations of polyp tracklets is key to enabling multiple AI-assisted colonoscopy applications, from polyp characterization to automated reporting and retrieva…
cs.CV2026
Unsupervised Domain Adaptation with Target-Only Margin Disparity Discrepancy
Gauthier Miralles, Loïc Le Folgoc, Vincent Jugnon +1
In interventional radiology, Cone-Beam Computed Tomography (CBCT) is a helpful imaging modality that provides guidance to practicians during minimally invasive procedures. CBCT dif…
cs.CV2025
Reducing Variability of Multiple Instance Learning Methods for Digital Pathology
Ali Mammadov, Loïc Le Folgoc, Guillaume Hocquet +1
Digital pathology has revolutionized the field by enabling the digitization of tissue samples into whole slide images (WSIs). However, the high resolution and large size of WSIs pr…