4 citations · 5 across the 9 of their papers we have counts for
3 papers · 1 filter
An Effectiveness Study Across Baseline and Learning-based Force Estimation Methods on the da Vinci Research Kit Si System
Hao Yang, Ayberk Acar, Keshuai Xu +3
Robot-assisted minimally invasive surgery, such as through the da Vinci systems, improves precision and patient outcomes. However, da Vinci systems prior to da Vinci 5, lacked dire…
MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy
John J. Han, Ayberk Acar, Nicholas Kavoussi +1
Style transfer is a promising approach to close the sim-to-real gap in medical endoscopy. Rendering synthetic endoscopic videos by traversing pre-operative scans (such as MRI or CT…
Depth Anything in Medical Images: A Comparative Study
John J. Han, Ayberk Acar, Callahan Henry +1
Monocular depth estimation (MDE) is a critical component of many medical tracking and mapping algorithms, particularly from endoscopic or laparoscopic video. However, because groun…