Area of research
Automotive Engineering · Surgery
Research interest
Research interests include Computer science, Artificial intelligence, Medicine, Trajectory, Context (archaeology), and Computer vision.
SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education)
Concept Graph Neural Networks for Surgical Video Understanding
TEsoNet: knowledge transfer in surgical phase recognition from laparoscopic sleeve gastrectomy to the laparoscopic part of Ivor–Lewis esophagectomy
Artificial intelligence prediction of cholecystectomy operative course from automated identification of gallbladder inflammation
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery
Trajectory Prediction with Linguistic Representations
SAGES consensus recommendations on an annotation framework for surgical video
Challenges in surgical video annotation
Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features
Computer vision in surgery
Automated operative phase identification in peroral endoscopic myotomy
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling
Computer Vision Analysis of Intraoperative Video
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Artificial Intelligence in Surgery: Promises and Perils
Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing
Duckietown: An open, inexpensive and flexible platform for autonomy education and research
The Manhattan Frame Model—Manhattan World Inference in the Space of Surface Normals
Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery
A Mixture of Manhattan Frames: Beyond the Manhattan World