14 citations · 21 across the 8 of their papers we have counts for
9 papers
TEDi: Temporal Memory-Enhanced and Denoising Transformer for Surgical Instrument Segmentation
Jiahong Yuan, Weiming Mi, Tao Zhang +1
Query-based segmentation methods have shown promising potential for surgical instrument segmentation and recognition, which is essential for scene understanding and downstream task…
Real-time Nonrigid Mosaicking of Laparoscopy Images
Haoyin Zhou, Jagadeesan Jayender
The ability to extend the field of view of laparoscopy images can help the surgeons to obtain a better understanding of the anatomical context. However, due to tissue deformation,…
Real-time Dense Reconstruction of Tissue Surface from Stereo Optical Video
Haoyin Zhou, Jagadeesan Jayender
We propose an approach to reconstruct dense three-dimensional (3D) model of tissue surface from stereo optical videos in real-time, the basic idea of which is to first extract 3D i…
Re-weighting and 1-Point RANSAC-Based PnP Solution to Handle Outliers
Haoyin Zhou, Tao Zhang, Jagadeesan Jayender
The ability to handle outliers is essential for performing the perspective-n-point (PnP) approach in practical applications, but conventional RANSAC+P3P or P4P methods have high ti…
Real-time Surface Deformation Recovery from Stereo Videos
Haoyin Zhou, Jagadeesan Jayender
Tissue deformation during the surgery may significantly decrease the accuracy of surgical navigation systems. In this paper, we propose an approach to estimate the deformation of t…
Smooth Deformation Field-based Mismatch Removal in Real-time
Haoyin Zhou, Jagadeesan Jayender
This paper studies the mismatch removal problem, which may serve as the subsequent step of feature matching. Non-rigid deformation makes it difficult to remove mismatches because n…
Real-time Deformation of Soft Tissue Internal Structure with Surface Profile Variations using Particle System
Haoyin Zhou, Eva Gombos, Mehra Golshan +1
Intraoperative observation of tissue internal structure is often difficult. Hence, real-time soft tissue deformation is essential for the localization of tumor and other internal s…
Implicit Tubular Surface Generation Guided by Centerline
Haoyin Zhou, James K. Min, Guanglei Xiong
Most machine learning-based coronary artery segmentation methods represent the vascular lumen surface in an implicit way by the centerline and the associated lumen radii, which mak…
Fast Segmentation of Left Ventricle in CT Images by Explicit Shape Regression using Random Pixel Difference Features
Peng Sun, Haoyin Zhou, Devon Lundine +2
Recently, machine learning has been successfully applied to model-based left ventricle (LV) segmentation. The general framework involves two stages, which starts with LV localizati…