Vinkle Srivastav

Dissecting self-supervised learning methods for surgical computer vision

2023 · 54 Zit. · Medical Image Analysis

Text-driven adaptation of foundation models for few-shot surgical workflow analysis

2025 · 4 Zit. · International Journal of Computer Assisted Radiology and Surgery

Dissecting Self-Supervised Learning Methods for Surgical Computer Vision

2022 · 3 Zit. · arXiv (Cornell University)

Current validation practice undermines surgical AI development

2025 · 1 Zit. · ArXiv.org

HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition

2024 · 0 Zit. · arXiv (Cornell University)

AI-driven prediction of ovarian cancer biology from diagnostic laparoscopy: preliminary results of the PANTHER-AI project

2026 · 0 Zit. · International Journal of Gynecological Cancer

Artificial intelligence at diagnostic laparoscopy for advanced ovarian cancer: extension and validation of the PREDATOOR project

2026 · 0 Zit. · International Journal of Gynecological Cancer

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

2025 · 0 Zit. · ArXiv.org

Artificial Intelligence in Surgery: Neural Networks and Deep Learning

2020 · 0 Zit. · arXiv (Cornell University)

Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room

2021 · 0 Zit. · arXiv (Cornell University)