activity
20222026
most citedSegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GR2026

The Role of Mixed and Augmented Reality in Medical Visualization: Literature Review and A Context-Aware Taxonomy

Xinrui Zou, Mingxu Liu, Hongchao Shu +3

The discovery and evolution of medical imaging technologies have enabled non-invasive visualization of internal anatomy that has be- come essential for supporting diagnosis, monito…

eess.IV2025

SurgiSR4K: A High-Resolution Endoscopic Video Dataset for Robotic-Assisted Minimally Invasive Procedures

Fengyi Jiang, Xiaorui Zhang, Lingbo Jin +11

High-resolution imaging is crucial for enhancing visual clarity and enabling precise computer-assisted guidance in minimally invasive surgery (MIS). Despite the increasing adoption…

cs.CL2025

CASPER: A Large Scale Spontaneous Speech Dataset

Cihan Xiao, Ruixing Liang, Xiangyu Zhang +8

The success of large language models has driven interest in developing similar speech processing capabilities. However, a key challenge is the scarcity of high-quality spontaneous…

cs.CV2024★ 1 cited

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge

Hao Ding, Yuqian Zhang, Tuxun Lu +39

Surgical data science has seen rapid advancement with the excellent performance of end-to-end deep neural networks (DNNs). Despite their successes, DNNs have been proven susceptibl…

cs.CV2022★ 1 cited

TAToo: Vision-based Joint Tracking of Anatomy and Tool for Skull-base Surgery

Zhaoshuo Li, Hongchao Shu, Ruixing Liang +5

Purpose: Tracking the 3D motion of the surgical tool and the patient anatomy is a fundamental requirement for computer-assisted skull-base surgery. The estimated motion can be used…

cs.HC2022

Twin-S: A Digital Twin for Skull-base Surgery

Hongchao Shu, Ruixing Liang, Zhaoshuo Li +9

Purpose: Digital twins are virtual interactive models of the real world, exhibiting identical behavior and properties. In surgical applications, computational analysis from digital…

cs.LG2022

PQLM -- Multilingual Decentralized Portable Quantum Language Model for Privacy Protection

Shuyue Stella Li, Xiangyu Zhang, Shu Zhou +4

With careful manipulation, malicious agents can reverse engineer private information encoded in pre-trained language models. Security concerns motivate the development of quantum p…