activity
20192025
most citedForce Sensing in Robot-assisted Keyhole Endoscopy: A Systematic Survey

58 citations · 212 across the 44 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

Image Retrieval with Intra-Sweep Representation Learning for Neck Ultrasound Scanning Guidance

Wanwen Chen, Adam Schmidt, Eitan Prisman +1

Purpose: Intraoperative ultrasound (US) can enhance real-time visualization in transoral robotic surgery. The surgeon creates a mental map with a pre-operative scan. Then, a surgic…

cs.CV2024

A-MFST: Adaptive Multi-Flow Sparse Tracker for Real-Time Tissue Tracking Under Occlusion

Yuxin Chen, Zijian Wu, Adam Schmidt +1

Purpose: Tissue tracking is critical for downstream tasks in robot-assisted surgery. The Sparse Efficient Neural Depth and Deformation (SENDD) model has previously demonstrated acc…

cs.RO2024

Stability and Transparency in Mixed Reality Bilateral Human Teleoperation

David Gregory Black, Septimiu Salcudean

Recent work introduced the concept of human teleoperation (HT), where the remote robot typically considered in conventional bilateral teleoperation is replaced by a novice person w…

cs.HC2024★ 1 cited

Mixed Reality Tele-Ultrasound over 750 km: A Feasibility Study

Ryan Yeung, David Black, Patrick B. Chen +5

To address the lack of access to ultrasound in remote communities, previous work introduced human teleoperation, a mixed reality and haptics-based tele-ultrasound system. In this a…

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.CV2024

Augmenting Efficient Real-time Surgical Instrument Segmentation in Video with Point Tracking and Segment Anything

Zijian Wu, Adam Schmidt, Peter Kazanzides +1

The Segment Anything Model (SAM) is a powerful vision foundation model that is revolutionizing the traditional paradigm of segmentation. Despite this, a reliance on prompting each…

cs.CV2024

PIPsUS: Self-Supervised Point Tracking in Ultrasound

Wanwen Chen, Adam Schmidt, Eitan Prisman +1

Finding point-level correspondences is a fundamental problem in ultrasound (US), since it can enable US landmark tracking for intraoperative image guidance in different surgeries,…