activity
20162025
most citedSurgical Data Science: Enabling Next-Generation Surgery

578 citations · 2.5k across the 216 of their papers we have counts for

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16 papers · 1 filter

cs.RO2024

Neural Semantic Map-Learning for Autonomous Vehicles

Markus Herb, Nassir Navab, Federico Tombari

Autonomous vehicles demand detailed maps to maneuver reliably through traffic, which need to be kept up-to-date to ensure a safe operation. A promising way to adapt the maps to the…

cs.RO2023

EyeLS: Shadow-Guided Instrument Landing System for Intraocular Target Approaching in Robotic Eye Surgery

Junjie Yang, Zhihao Zhao, Siyuan Shen +5

Robotic ophthalmic surgery is an emerging technology to facilitate high-precision interventions such as retina penetration in subretinal injection and removal of floating tissues i…

cs.RO2023

Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound

Yordanka Velikova, Mohammad Farid Azampour, Walter Simson +2

Ultrasound (US) imaging is widely used in diagnosing and staging abdominal diseases due to its lack of non-ionizing radiation and prevalent availability. However, significant inter…

cs.RO2023★ 1 cited

SG-Bot: Object Rearrangement via Coarse-to-Fine Robotic Imagination on Scene Graphs

Guangyao Zhai, Xiaoni Cai, Dianye Huang +5

Object rearrangement is pivotal in robotic-environment interactions, representing a significant capability in embodied AI. In this paper, we present SG-Bot, a novel rearrangement f…

cs.RO2023★ 29 cited

Robotic Navigation Autonomy for Subretinal Injection via Intelligent Real-Time Virtual iOCT Volume Slicing

Shervin Dehghani, Michael Sommersperger, Peiyao Zhang +6

In the last decade, various robotic platforms have been introduced that could support delicate retinal surgeries. Concurrently, to provide semantic understanding of the surgical ar…

cs.RO2022

MonoGraspNet: 6-DoF Grasping with a Single RGB Image

Guangyao Zhai, Dianye Huang, Shun-Cheng Wu +6

6-DoF robotic grasping is a long-lasting but unsolved problem. Recent methods utilize strong 3D networks to extract geometric grasping representations from depth sensors, demonstra…

cs.RO2022

Towards Autonomous Atlas-based Ultrasound Acquisitions in Presence of Articulated Motion

Zhongliang Jiang, Yuan Gao, Le Xie +1

Robotic ultrasound (US) imaging aims at overcoming some of the limitations of free-hand US examinations, e.g. difficulty in guaranteeing intra- and inter-operator repeatability. Ho…

cs.RO2022★ 15 cited

DA Dataset: Toward Dexterity-Aware Dual-Arm Grasping

Guangyao Zhai, Yu Zheng, Ziwei Xu +6

In this paper, we introduce DA, the first large-scale dual-arm dexterity-aware dataset for the generation of optimal bimanual grasping pairs for arbitrary large objects. The da…

cs.RO2021★ 28 cited

Motion-Aware Robotic 3D Ultrasound

Zhongliang Jiang, Hanyu Wang, Zhenyu Li +7

Robotic three-dimensional (3D) ultrasound (US) imaging has been employed to overcome the drawbacks of traditional US examinations, such as high inter-operator variability and lack…

cs.RO2020★ 6 cited

Autonomous Robotic Screening of Tubular Structures based only on Real-Time Ultrasound Imaging Feedback

Zhongliang Jiang, Zhenyu Li, Matthias Grimm +6

Ultrasound (US) imaging is widely employed for diagnosis and staging of peripheral vascular diseases (PVD), mainly due to its high availability and the fact it does not emit radiat…

cs.RO2020

RGB-D SLAM with Structural Regularities

Yanyan Li, Raza Yunus, Nikolas Brasch +2

This work proposes a RGB-D SLAM system specifically designed for structured environments and aimed at improved tracking and mapping accuracy by relying on geometric features that a…

cs.RO2020★ 5 cited

Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments

Yanyan Li, Nikolas Brasch, Yida Wang +2

In this paper a low-drift monocular SLAM method is proposed targeting indoor scenarios, where monocular SLAM often fails due to the lack of textured surfaces. Our approach decouple…

cs.RO2020★ 12 cited

Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling

Zhongliang Jiang, Long Lei, Yu Sun +5

Drilling is one of the hardest parts of pedicle screw fixation, and it is one of the most dangerous operations because inaccurate screw placement would injury vital tissues, partic…

cs.RO2020★ 3 cited

On the Effectiveness of Virtual Reality-based Training for Robotic Setup

Arian Mehrfard, Javad Fotouhi, Tess Forster +5

Virtual Reality (VR) is rapidly increasing in popularity as a teaching tool. It allows for the creation of a highly immersive, three-dimensional virtual environment intended to sim…

cs.RO2020

Pivot calibration concept for sensor attached mobile c-arms

Sing Chun Lee, Matthias Seibold, Philipp Fürnstahl +2

Medical augmented reality has been actively studied for decades and many methods have been proposed torevolutionize clinical procedures. One example is the camera augmented mobile…

cs.RO2019

Reflective-AR Display: An Interaction Methodology for Virtual-Real Alignment in Medical Robotics

Javad Fotouhi, Tianyu Song, Arian Mehrfard +8

Robot-assisted minimally invasive surgery has shown to improve patient outcomes, as well as reduce complications and recovery time for several clinical applications. While increasi…