Publications
Towards Effective Surgical Representation Learning with DINO Models
Accepted by Medical Imaging with Deep Learning (MIDL) 2026
Analysis of Transferability Estimation Metrics for Surgical Phase Recognition
Data Engineering in Medical Imaging (DEMI) Workshop (3rd Edition) - Satellite Event MICCAI 2025
Do segmentation metrics reflect clinical reality? A surgeon-centered evaluation in robot-assisted minimally invasive esophagectomy
Surgical Endoscopy 40.1 (2026): 277-290.
SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2025
Scaling up Self-Supervised Learning for Improved Surgical Foundation Models
Medical Image Analysis (2025): 103873.
Benchmarking Pretrained Attention-Based Models for Real-Time Recognition in Robot-Assisted Esophagectomy
SPIE Medical Imaing (2025)
Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy
SPIE Medical Imaing (2025)
Exploring the Effect of Dataset Diversity in Self-Supervised Learning for Surgical Computer Vision
Data Engineering in Medical Imaging (DEMI) Workshop (2rd Edition) - Satellite Event MICCAI 2024
Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
Surgical Endoscopy - Volume 37 - Issue 7, July 2023
Computer-Aided Anatomy Recognition in Intrathoracic and Abdominal Surgery: A Systematic Review
Surgical Endoscopy, 36(12), 8737–8752 (2022), Springer