265 citations
- Centre National de la Recherche ScientifiqueFR10 papers
- Agostino Gemelli University PolyclinicIT7 papers
- Université de StrasbourgFR6 papers
- University of MilanIT6 papers
- InsermFR5 papers
- Institut de Chirurgie Guidée par l'ImageFR5 papers
- Vita-Salute San Raffaele UniversityIT5 papers
- Centro San Giovanni di Dio FatebenefratelliIT4 papers
- University of PaviaIT4 papers
- University of ZurichCH4 papers
- IRCCS Istituto Auxologico ItalianoIT3 papers
- Istituto di Ricovero e Cura a Carattere Scientifico San RaffaeleIT3 papers
36 papers
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…
Contrast-enhanced X-ray imaging of articular cartilage: reliability of a cationic contrast agent in combination with high-resolution peripheral quantitative computed tomography system
S. Fantoni, M. Berni, R. Fognani +4
Articular cartilage showcases distinctive mechanical behaviour, attributable to its biphasic composition and hierarchical organization. Proteoglycans, essential constituents of the…
Quantum computing for genomics: conceptual challenges and practical perspectives
Aurora Maurizio, Guglielmo Mazzola
We assess the potential of quantum computing to accelerate computation of central tasks in genomics, focusing on often-neglected theoretical limitations. We discuss state-of-the-ar…
SIEGE IV: compact star clusters in cosmological simulations with high star formation efficiency and sub-parsec resolution
R. Pascale, F. Calura, E. Vesperini +10
The formation of compact high-redshift star-forming clumps, the physical processes driving their evolution and their potential connection to present-day Globular Clusters are key o…
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…
Early Operative Difficulty Assessment in Laparoscopic Cholecystectomy via Snapshot-Centric Video Analysis
Saurav Sharma, Maria Vannucci, Leonardo Pestana Legori +6
Purpose: Laparoscopic cholecystectomy (LC) operative difficulty (LCOD) is highly variable and influences outcomes. Despite extensive LC studies in surgical workflow analysis, limit…