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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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18 papers · 1 filter

cs.CV2022

Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge

Aneeq Zia, Kiran Bhattacharyya, Xi Liu +12

Timely and effective feedback within surgical training plays a critical role in developing the skills required to perform safe and efficient surgery. Feedback from expert surgeons,…

cs.CV2022

TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery

Zixu Zhao, Yueming Jin, Pheng-Ann Heng

Surgical instrument segmentation -- in general a pixel classification task -- is fundamentally crucial for promoting cognitive intelligence in robot-assisted surgery (RAS). However…

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…

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…

cs.CV20214 cited

Temporal Memory Relation Network for Workflow Recognition from Surgical Video

Yueming Jin, Yonghao Long, Cheng Chen +3

Automatic surgical workflow recognition is a key component for developing context-aware computer-assisted systems in the operating theatre. Previous works either jointly modeled th…