- Agostino Gemelli University PolyclinicIT2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- InsermFR2 papers
- Université de StrasbourgFR2 papers
- Chang Gung UniversityTW1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- Istituti di Ricovero e Cura a Carattere ScientificoIT1 paper
- Kaohsiung Chang Gung Memorial HospitalTW1 paper
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cs.CV2026
GEN-Guard: Correcting Generalization Failures for Deployable Federated Surgical AI
Julia Alekseenko, Pietro Mascagni, AI4SafeChole Consortium +1
Federated Learning (FL) in surgical video AI enables collaborative model training without sharing sensitive data. However, standard evaluation practices - selecting the "best" glob…
cs.CV2026
S4M: 4-points to Segment Anything
Adrien Meyer, Lorenzo Arboit, Giuseppe Massimiani +3
Purpose: The Segment Anything Model (SAM) promises to ease the annotation bottleneck in medical segmentation, but overlapping anatomy and blurred boundaries make its point prompts…
cs.CV2025
Endoshare: A Publicly Available, Surgeons-Friendly Solution to De-Identify and Manage Surgical Videos
Lorenzo Arboit, Dennis N. Schneider, Britty Baby +3
Video-based assessment and surgical data science can advance surgical training, research, and quality improvement, yet adoption remains limited by heterogeneous recording formats a…