activity
20162022
most cited3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

109 citations · 188 across the 20 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

eess.IV2021

Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network

Jiacheng Wang, Yueming Jin, Shuntian Cai +4

We propose a novel shape-aware relation network for accurate and real-time landmark detection in endoscopic submucosal dissection (ESD) surgery. This task is of great clinical sign…

eess.IV20216 cited

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark

Martin Wagner, Beat-Peter Müller-Stich, Anna Kisilenko +38

PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the…

cs.CV202113 cited

Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video

Jiacheng Wang, Yueming Jin, Liansheng Wang +3

Performing a real-time and accurate instrument segmentation from videos is of great significance for improving the performance of robotic-assisted surgery. We identify two importan…

cs.CV2021

Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning

Zixu Zhao, Yueming Jin, Pheng-Ann Heng

This paper presents a self-supervised method for learning reliable visual correspondence from unlabeled videos. We formulate the correspondence as finding paths in a joint space-ti…

eess.IV20213 cited

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling

Cheng Chen, Quande Liu, Yueming Jin +2

Domain adaptation typically requires to access source domain data to utilize their distribution information for domain alignment with the target data. However, in many real-world s…

cs.CV2021

Accurate Grid Keypoint Learning for Efficient Video Prediction

Xiaojie Gao, Yueming Jin, Qi Dou +2

Video prediction methods generally consume substantial computing resources in training and deployment, among which keypoint-based approaches show promising improvement in efficienc…