06 Dec (2024): 1 paper early accepted by IPCAI 2025
25 Oct (2024): I will be serving as Guest Editor of the special collection on "Robot-Assisted Medical Imaging" in the prestigious IEEE Transactions on Robotics (TRO)
15 Aug (2024): Serves as an Associate Editor for ICRA2025
03 July (2024): 1 paper accepted by IEEE Transactions on Medical Imaging
20 Jun (2024): 1 paper accepted by IEEE Transactions on Instrumentation and Measurement
21 May (2024): 1 paper accepted by IEEE Transactions on Automation Science and Engineering
02 Jan (2024): 1 paper accepted by Annual Review of Control, Robotics, and Autonomous Systems
18 Oct (2022): successfully defended doctoral thesis with the highest distinction "summa cum laude"
08 Aug (2022): 1 paper accepted by IEEE Transactions on Instrumentation and Measurement
24 Apr (2022): 1 paper directly accepted by IEEE Robotics and Automation Letters
18 Apr (2022): 1 paper directly accepted by IEEE Robotics and Automation Letters
30 Jun (2021): 1 paper accepted IEEE Robotics and Automation Letters (presented at IROS2021)
23 Jun (2021): 1 paper accepted for publication in IEEE Transactions on Industrial Electronics
28 Feb (2021): 1 paper accepted to ICRA2021
21 Oct (2020): 1 paper accepted for publication in IEEE Transactions on Industrial Electronics
30 May (2020): 1 paper accepted for publication in IEEE Transactions on Medical Robotics and Bionics
07 Jan (2020): 1 paper accepted to IEEE Robotics and Automation Letters (presented at ICRA2020)
03 Oct (2018): Join CAMP
Curriculum Vitae
Dr. Zhongliang Jiang is a senior research scientist and is leading the Robotics and Ultrasound team (RobUSt) at the Chair of Computer Aided Medical Procedures (CAMP). He received his Ph.D. in computer sciences with the highest distinction, “summa cum laude” at TUM. Dr. Jiang has co-authored over 40 publications in top-tier journals and conferences in the field of both robotics and medical imaging, including IJRR, MedIA, ARCRAS, TIE, TASE, TIM, TMRB, ICRA, IROS, and MICCAI. He won the award of the Best Paper Runner-up at MICCAI 2023. He is also one of the founders and main organizers of the series workshop on robot-assisted medical imaging (RAMI) at ICRA2023 and ICRA2024 and served as an associate editor for ICRA.
03.2022 - now: senior research scientist
10/2018 - 10.2022: Ph.D. student at CAMP, TUM
01/2017 - 06/2018: Research Assistant, Shenzhen Institute of Advanced Technology (SIAT), China
09/2014 - 01/2017: M. Eng, Harbin Institute of Technology (Shenzhen), China
Awards
2023 Best Paper Runner up of MICCAI 2023 (3 out of 2253 submissions)
2022 summa cum laude (highest distinction) for Ph.D. thesis
2017 Excellent Master Graduate (Gold medal for master’s thesis, HIT Shenzhen)
2016 Best Student Paper Award Finalist (RCAR2016)
Research Interests
Medical Robotics: automatic robotic ultrasound acquisition and diagnosis system
SucheHinweis: Die „Schnellsuche“ findet nur Text in den angezeigten
Feldern; nicht in Abstracts oder Schlagwörtern. Der Suchbegriff muss mindestens
3 Buchstaben lang sein.
2024
Bi, Yuan; Jiang, Zhongliang; Duelmer, Felix; Huang, Dianye; Navab, Nassir: Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives. Annual Review of Control, Robotics, and Autonomous Systems 7 (1), 2024, 335-357 mehr…
Bi, Yuan; Jiang, Zhongliang; Duelmer, Felix; Huang, Dianye; Navab, Nassir: Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives. Annual Review of Control, Robotics, and Autonomous Systems 7 (1), 2024 mehr…
Bi, Yuan; Jiang, Zhongliang; Duelmer, Felix; Huang, Dianye; Navab, Nassir: Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives. Annual Review of Control, Robotics, and Autonomous Systems 7 (1), 2024 mehr…
Huang, Dianye; Yang, Chenguang; Zhou, Mingchuan; Karlas, Angelos; Navab, Nassir; Jiang, Zhongliang: Robot-Assisted Deep Venous Thrombosis Ultrasound Examination Using Virtual Fixture. IEEE Transactions on Automation Science and Engineering, 2024, 1-12 mehr…
Jiang, Zhongliang; Bi, Yuan; Zhou, Mingchuan; Hu, Ying; Burke, Michael; Navab, Nassir: Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations. The International Journal of Robotics Research, 2024 mehr…
Jiang, Zhongliang; Bi, Yuan; Zhou, Mingchuan; Hu, Ying; Burke, Michael; Navab, Nassir: Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations. The International Journal of Robotics Research 43 (7), 2024, 981-1002 mehr…
Jiang, Zhongliang; Duelmer, Felix; Navab, Nassir: DopUS-Net: Quality-Aware Robotic Ultrasound Imaging Based on Doppler Signal. IEEE Transactions on Automation Science and Engineering 21 (3), 2024, 3229-3242 mehr…
Jiang, Zhongliang; Kang, Yunfeng; Bi, Yuan; Li, Xuesong; Li, Chenyang; Navab, Nassir: Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging. IEEE Transactions on Automation Science and Engineering, 2024, 1-13 mehr…
Jiang, Zhongliang; Li, Xuesong; Chu, Xiangyu; Karlas, Angelos; Bi, Yuan; Cheng, Yingsheng; Samuel Au, K. W.; Navab, Nassir: Needle Segmentation Using GAN: Restoring Thin Instrument Visibility in Robotic Ultrasound. IEEE Transactions on Instrumentation and Measurement 73, 2024, 1-11 mehr…
Li, Jun; Su, Tongkun; Zhao, Baoliang; Lv, Faqin; Wang, Qiong; Navab, Nassir; Hu, Ying; Jiang, Zhongliang: Ultrasound Report Generation with Cross-Modality Feature Alignment via Unsupervised Guidance. IEEE Transactions on Medical Imaging, 2024, 1-1 mehr…
Chen, Lienhung; Jiang, Zhongliang; Cheng, Long; Knoll, Alois C.; Zhou, Mingchuan: Deep Reinforcement Learning Based Trajectory Planning Under Uncertain Constraints. Frontiers in Neurorobotics 16, 2022 mehr…
Jiang, Zhongliang; Danis, Nehil; Bi, Yuan; Zhou, Mingchuan; Kroenke, Markus; Wendler, Thomas; Navab, Nassir: Precise Repositioning of Robotic Ultrasound: Improving Registration-Based Motion Compensation Using Ultrasound Confidence Optimization. IEEE Transactions on Instrumentation and Measurement 71, 2022, 1-11 mehr…
Jiang, Zhongliang; Gao, Yuan; Xie, Le; Navab, Nassir: Towards Autonomous Atlas-Based Ultrasound Acquisitions in Presence of Articulated Motion. IEEE Robotics and Automation Letters 7 (3), 2022, 7423-7430 mehr…
Jiang, Zhongliang; Li, Zhenyu; Grimm, Matthias; Zhou, Mingchuan; Esposito, Marco; Wein, Wolfgang; Stechele, Walter; Wendler, Thomas; Navab, Nassir: Autonomous Robotic Screening of Tubular Structures Based Only on Real-Time Ultrasound Imaging Feedback. IEEE Transactions on Industrial Electronics 69 (7), 2022, 7064-7075 mehr…
2021
Jiang, Z.; Wang, H.; Li, Z.; Grimm, M.; Zhou, M.; Eck, U.; Brecht, S. V.; Lueth, T. C.; Wendler, T.; Navab, N.: Motion-Aware Robotic 3D Ultrasound. 2021 IEEE International Conference on Robotics and Automation, 2021 mehr…
Jiang, Zhongliang; Grimm, Matthias; Zhou, Mingchuan; Esteban, Javier; Simson, Walter; Zahnd, Guillaume; Navab, Nassir: Automatic Normal Positioning of Robotic Ultrasound Probe Based Only on Confidence Map Optimization and Force Measurement. IEEE Robotics and Automation Letters 5 (2), 2020, 1342-1349 mehr…
Jiang, Zhongliang; Lei, Long; Sun, Yu; Qi, Xiaozhi; Hu, Ying; Li, Bing; Navab, Nassir; Zhang, Jianwei: Model-Based Compensation of Moving Tissue for State Recognition in Robotic-Assisted Pedicle Drilling. IEEE Transactions on Medical Robotics and Bionics 2 (3), 2020, 463-473 mehr…
Teaching
https://campus.tum.de/ scheint offline zu sein ODER ihre Eingaben im Plugin sind fehlerhaft.