34 citations · 155 across the 18 of their papers we have counts for
4 papers · 1 filter
Learning to See Forces: Surgical Force Prediction with RGB-Point Cloud Temporal Convolutional Networks
Cong Gao, Xingtong Liu, Michael Peven +2
Robotic surgery has been proven to offer clear advantages during surgical procedures, however, one of the major limitations is obtaining haptic feedback. Since it is often challeng…
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
Xingtong Liu, Ayushi Sinha, Mathias Unberath +4
We present a self-supervised approach to training convolutional neural networks for dense depth estimation from monocular endoscopy data without a priori modeling of anatomy or sha…
Towards automatic initialization of registration algorithms using simulated endoscopy images
Ayushi Sinha, Masaru Ishii, Russell H. Taylor +2
Registering images from different modalities is an active area of research in computer aided medical interventions. Several registration algorithms have been developed, many of whi…
Endoscopic navigation in the absence of CT imaging
Ayushi Sinha, Xingtong Liu, Austin Reiter +3
Clinical examinations that involve endoscopic exploration of the nasal cavity and sinuses often do not have a reference image to provide structural context to the clinician. In thi…