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cs.CV2026

SUREON: A Benchmark and Vision-Language-Model for Surgical Reasoning

Alejandra Perez, Anita Rau, Lee White +4

Surgeons don't just see -- they interpret. When an expert observes a surgical scene, they understand not only what instrument is being used, but why it was chosen, what risk it pos…

cs.CV2026

SurgLaVi: Large-Scale Hierarchical Dataset for Surgical Vision-Language Representation Learning

Alejandra Perez, Chinedu Nwoye, Ramtin Raji Kermani +2

Vision-language pre-training (VLP) offers unique advantages for surgery by aligning language with surgical videos, enabling workflow understanding and transfer across tasks without…

cs.CV20251 cited

CARDIUM: Congenital Anomaly Recognition with Diagnostic Images and Unified Medical records

Daniela Vega, Hannah V. Ceballos, Javier S. Vera +10

Prenatal diagnosis of Congenital Heart Diseases (CHDs) holds great potential for Artificial Intelligence (AI)-driven solutions. However, collecting high-quality diagnostic data rem…

cs.CV2025

Privacy-Preserving Operating Room Workflow Analysis using Digital Twins

Alejandra Perez, Han Zhang, Yu-Chun Ku +7

The operating room (OR) is a complex environment where optimizing workflows is critical to reduce costs and improve patient outcomes. While computer vision approaches for automatic…

cs.CV2024

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Dimitrios Psychogyios, Emanuele Colleoni, Beatrice Van Amsterdam +47

Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to de…