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Yuan Bi

Publications
8
Citations
97
Publications by Year
20212025
Co-Authors:
Show All Co-Authors (19)
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Yuan Bi

Affiliation

Chair for Computer-Aided Medical Procedures and Augmented Reality
Technical University of Munich
Garching, Germany
Munich Center for Machine Learning, München, Germany

Publication Topics

Biography

Yuan Bi (Graduate Student Member, IEEE) received the B.Sc. degree in mechatronics from Tongji University, Shanghai, China, in 2017, and the M.Sc. degree in robotics, cognition, intelligence from the Technical University of Munich, Munich, Germany, in 2021, where he is currently pursuing the Ph.D. degree in computer science.,His research interests include robot manipulation, robotic learning, and computer vision.(Based on document published on 23 August 2022).
Publications
8
Citations
97
Publications by Year
20212025
Co-Authors:
Show All Co-Authors (19)
Author's Published Works

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Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation

Yuan Bi;Yang Su;Nassir Navab;Zhongliang Jiang

IEEE Robotics and Automation Letters
Year: 2025 | Volume: 10, Issue: 4 | Journal Article |
Medical ultrasound has been widely used to examine vascular structure in modern clinical practice. However, traditional ultrasound examination often faces challenges related to inter- and intra-operator variation. The robotic ultrasound system (RUSS) appears as a potential solution for such challenges because of its superiority in stability and reproducibility. Given the complex anatomy of human v...Show More

Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation

Yuan Bi;Yang Su;Nassir Navab;Zhongliang Jiang

Year: 2025 | Volume: 10, Issue: 4 | Journal Article |

Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging

Zhongliang Jiang;Yunfeng Kang;Yuan Bi;Xuesong Li;Chenyang Li;Nassir Navab

IEEE Transactions on Automation Science and Engineering
Year: 2025 | Volume: 22 | Journal Article |
Cited by: Papers (1)
Ultrasound imaging has been widely used in clinical examinations owing to the advantages of being portable, real-time, and radiation-free. Considering the potential of extensive deployment of autonomous examination systems in hospitals, robotic US imaging has attracted increased attention. However, due to the inter-patient variations, it is still challenging to have an optimal path for each patien...Show More

Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging

Zhongliang Jiang;Yunfeng Kang;Yuan Bi;Xuesong Li;Chenyang Li;Nassir Navab

Year: 2025 | Volume: 22 | Journal Article |

Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in Robotic Ultrasound

Zhongliang Jiang;Xuesong Li;Xiangyu Chu;Angelos Karlas;Yuan Bi;Yingsheng Cheng;K. W. Samuel Au;Nassir Navab

IEEE Transactions on Instrumentation and Measurement
Year: 2024 | Volume: 73 | Journal Article |
Cited by: Papers (1)
Ultrasound-guided percutaneous needle insertion is a standard procedure employed in both biopsy and ablation in clinical practices. However, due to the complex interaction between tissue and instrument, the needle may deviate from the in-plane view, resulting in a lack of close monitoring of the percutaneous needle. To address this challenge, we introduce a robot-assisted ultrasound (US) imaging s...Show More

Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in Robotic Ultrasound

Zhongliang Jiang;Xuesong Li;Xiangyu Chu;Angelos Karlas;Yuan Bi;Yingsheng Cheng;K. W. Samuel Au;Nassir Navab

Year: 2024 | Volume: 73 | Journal Article |

Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation

Dianye Huang;Yuan Bi;Nassir Navab;Zhongliang Jiang

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
Ultrasound (US) imaging is widely used for diagnosing and monitoring arterial diseases, mainly due to the advantages of being non-invasive, radiation-free, and real-time. In order to provide additional information to assist clinicians in diagnosis, the tubular structures are often segmented from US images. To improve the artery segmentation accuracy and stability during scans, this work presents a...Show More

Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation

Dianye Huang;Yuan Bi;Nassir Navab;Zhongliang Jiang

Year: 2023 | Conference Paper |

Skeleton Graph-Based Ultrasound-CT Non-Rigid Registration

Zhongliang Jiang;Xuesong Li;Chenyu Zhang;Yuan Bi;Walter Stechele;Nassir Navab

IEEE Robotics and Automation Letters
Year: 2023 | Volume: 8, Issue: 8 | Journal Article |
Cited by: Papers (7)
Autonomous ultrasound (US) scanning has attracted increased attention, and it has been seen as a potential solution to overcome the limitations of conventional US examinations, such as inter-operator variations. However, it is still challenging to autonomously and accurately transfer a planned scan trajectory on a generic atlas to the current setup for different patients, particularly for thorax a...Show More

Skeleton Graph-Based Ultrasound-CT Non-Rigid Registration

Zhongliang Jiang;Xuesong Li;Chenyu Zhang;Yuan Bi;Walter Stechele;Nassir Navab

Year: 2023 | Volume: 8, Issue: 8 | Journal Article |

Precise Repositioning of Robotic Ultrasound: Improving Registration-Based Motion Compensation Using Ultrasound Confidence Optimization

Zhongliang Jiang;Nehil Danis;Yuan Bi;Mingchuan Zhou;Markus Kroenke;Thomas Wendler;Nassir Navab

IEEE Transactions on Instrumentation and Measurement
Year: 2022 | Volume: 71 | Journal Article |
Cited by: Papers (26)
Robotic ultrasound (US) imaging has been seen as a promising solution to overcome the limitations of free-hand US examinations, i.e., interoperator variability. However, the fact that robotic US systems (RUSSs) cannot react to subject movements during scans limits their clinical acceptance. Regarding human sonographers, they often react to patient movements by repositioning the probe or even resta...Show More

Precise Repositioning of Robotic Ultrasound: Improving Registration-Based Motion Compensation Using Ultrasound Confidence Optimization

Zhongliang Jiang;Nehil Danis;Yuan Bi;Mingchuan Zhou;Markus Kroenke;Thomas Wendler;Nassir Navab

Year: 2022 | Volume: 71 | Journal Article |

VesNet-RL: Simulation-Based Reinforcement Learning for Real-World US Probe Navigation

Yuan Bi;Zhongliang Jiang;Yuan Gao;Thomas Wendler;Angelos Karlas;Nassir Navab

IEEE Robotics and Automation Letters
Year: 2022 | Volume: 7, Issue: 3 | Journal Article |
Cited by: Papers (27)
Ultrasound (US) is one of the most common medical imaging modalities since it is radiation-free, low-cost, and real-time. In freehand US examinations, sonographers often navigate a US probe to visualize standard examination planes with rich diagnostic information. However, reproducibility and stability of the resulting images often suffer from intra- and inter-operator variation. Reinforcement lea...Show More

VesNet-RL: Simulation-Based Reinforcement Learning for Real-World US Probe Navigation

Yuan Bi;Zhongliang Jiang;Yuan Gao;Thomas Wendler;Angelos Karlas;Nassir Navab

Year: 2022 | Volume: 7, Issue: 3 | Journal Article |

Deformation-Aware Robotic 3D Ultrasound

Zhongliang Jiang;Yue Zhou;Yuan Bi;Mingchuan Zhou;Thomas Wendler;Nassir Navab

IEEE Robotics and Automation Letters
Year: 2021 | Volume: 6, Issue: 4 | Journal Article |
Cited by: Papers (31)
Tissue deformation in ultrasound (US) imaging leads to geometrical errors when measuring tissues due to the pressure exerted by probes. Such deformation has an even larger effect on 3D US volumes as the correct compounding is limited by the inconsistent location and geometry. This work proposes a patient-specified stiffness-based method to correct the tissue deformations in robotic 3D US acquisiti...Show More

Deformation-Aware Robotic 3D Ultrasound

Zhongliang Jiang;Yue Zhou;Yuan Bi;Mingchuan Zhou;Thomas Wendler;Nassir Navab

Year: 2021 | Volume: 6, Issue: 4 | Journal Article |

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