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20152026
most citedReal-time Nonrigid Mosaicking of Laparoscopy Images

14 citations · 21 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

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…

cs.CV2021★ 14 cited

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,…

cs.CV2020

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…

cs.CV2020★ 2 cited

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…

cs.CV2020★ 2 cited

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…

cs.CV2020★ 2 cited

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…

cs.CV2016★ 1 cited

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…

cs.CV2015

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…