11 citations · 13 across the 10 of their papers we have counts for
10 papers
Stabilizing Temporal Inference Dynamics for Online Surgical Phase Recognition
Yang Liu, Ning Zhu, Jingjing Peng +4
Online Surgical Phase Recognition (SPR) models can reach high frame-wise accuracy, yet their predictions often lack temporal stability, fragmenting workflow understanding and reduc…
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
Silin Cheng, Yang Liu, Xinwei He +3
Weakly supervised referring expression comprehension(WREC) and segmentation(WRES) aim to learn object grounding based on a given expression using weak supervision signals like imag…
SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation
Maxence Boels, Yang Liu, Prokar Dasgupta +2
While existing approaches excel at recognising current surgical phases, they provide limited foresight and intraoperative guidance into future procedural steps. Similarly, current…
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images
Ze Chen, Gongyu Zhang, Jiayu Huo +7
This study introduces a novel framework for enhancing domain generalization in medical imaging, specifically focusing on utilizing unlabelled multi-view colour fundus photographs.…
DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography
Zhenyu Bu, Yang Liu, Jiayu Huo +7
Accurate identification of End-Diastolic (ED) and End-Systolic (ES) frames is key for cardiac function assessment through echocardiography. However, traditional methods face severa…
SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning
Maxence Boels, Yang Liu, Prokar Dasgupta +2
Intra-operative recognition of surgical phases holds significant potential for enhancing real-time contextual awareness in the operating room. However, we argue that online recogni…
MatchSeg: Towards Better Segmentation via Reference Image Matching
Jiayu Huo, Ruiqiang Xiao, Haotian Zheng +3
Recently, automated medical image segmentation methods based on deep learning have achieved great success. However, they heavily rely on large annotated datasets, which are costly…
Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow
Yang Liu, Peiran Wu, Jiayu Huo +7
Unsupervised video-based surgical instrument segmentation has the potential to accelerate the adoption of robot-assisted procedures by reducing the reliance on manual annotations.…
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks
Yang Liu, Xiaomin Yu, Gongyu Zhang +5
"A data scientist is tasked with developing a low-cost surgical VQA system for a 2-month workshop. Due to data sensitivity, she collects 50 hours of surgical video from a hospital,…
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge
Dimitrios Psychogyios, Emanuele Colleoni, Beatrice Van Amsterdam +47
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to de…