- Machine Learning in Robotic Ultrasound Imaging: Challenges and Perspectives. Annual Review of Control, Robotics, and Autonomous Systems 7 (1), 2024 mehr…
- Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations. The International Journal of Robotics Research, 2024 mehr…
- Skeleton Graph-Based Ultrasound-CT Non-Rigid Registration. IEEE Robotics and Automation Letters 8 (8), 2023, 4394-4401 mehr…
- MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 mehr…
- Thoracic Cartilage Ultrasound-CT Registration Using Dense Skeleton Graph. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2023 mehr…
- Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation. 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2023 mehr…
- 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…
- 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…
- VesNet-RL: Simulation-Based Reinforcement Learning for Real-World US Probe Navigation. IEEE Robotics and Automation Letters 7 (3), 2022, 6638-6645 mehr…
- Deformation-Aware Robotic 3D Ultrasound. IEEE Robotics and Automation Letters 6 (4), 2021, 7675-7682 mehr…
- Automatic Force-Based Probe Positioning for Precise Robotic Ultrasound Acquisition. IEEE Transactions on Industrial Electronics 68 (11), 2021, 11200-11211 mehr…
- Motion-Aware Robotic 3D Ultrasound. 2021 IEEE International Conference on Robotics and Automation, 2021 mehr…
- 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…
- 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…
Dr. Zhongliang Jiang
Dr. rer. nat. Zhongliang Jiang
Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
- Phone: +49 (89) 289 - 17071
- Homepage
- zl.jiang@tum.de
room : 03.13.041
Demonstrations and Personal Web Links
News
- 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
- Dec (2023): Will co-organize a workshop on 2nd Robotic-Assisted Medical Imaging at ICRA2024, May, Yokohama, Japan
- 21 Dec (2023): 1 paper accepted by IEEE Transactions on Automation Science and Engineering
- 21 Nov (2023): 1 paper accepted by The International Journal of Robotics Research (IJRR)
- 11 Oct (2023): MICCAI 2023 "Best paper Runner up" award for "MI-SegNet" paper
- 01 Sep (2023): I will be serving as an AE for ICRA2024
- 01 Aug (2023): 1 paper accepted by Medical Image Analysis
- 23 Jun (2023): 1 paper accepted by MICCAI2023
- 22 Jun (2023): 1 paper accepted by Medical Image Analysis
- 21 Jun (2023): 2 paper accepted by IROS2023
- 09 May (2023): 1 paper accepted by IEEE Robotics and Automation Letters
- 08 May (2023): 1 paper accepted by IEEE Transactions on Automation Science and Engineering
- Dec (2022): Will co-organize a workshop on Robotic-Assisted Medical Imaging at ICRA2023, May, London
- 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
- Image Processing: RGB-D camera image processing, surface registration, ultrasound imaging segmentation, multi-modality image registration
- Robotic Learning: reinforcement learning, inverse reinforcement learning, imitation learning to learn operation skills form doctors
- Robotic Control: MPC, shared control, Human-Robot Interaction, fuzzy control to ensure safety and accomplish complex medical tasks
Professional Services
§ Editor of journals and conferences, including:
- Guest Editor of a special issue of “AI Technologies and Applications in Medical Robots” in the journal of CAAI Transactions on Intelligence Technology
- Associate Editor of IEEE International Conference on Robotics and Automation (ICRA 2024)
§ Organizer of international events, including:
- Main organizer of ICRA23 workshop “1st RAMI—Robot-Assisted Medical Imaging”
- Main organizer of ICRA24 workshop “2nd RAMI—Robot-Assisted Medical Imaging”
- Organizer of the 1st MRC symposium on Medcal Robotics, Hongkong, May, 2024
§ Reviewer of international funding programs, including:
- Canada Foundation for Innovation 2023
- fwf österreichischer wissenschaftsfonds (Austrian Science Fund)
§ Reviewer of journals and conferences, including:
- Nature Machine Intelligence, Nature Communication, TRO, IEEE Reviews in Biomedical Engineering, TASE, TMECH, TIE, RAL, TBME, TIM, TUFFC, TMRB, IEEE Sensors Journal, ijmrcas
- ICRA 2015-2016, 2020-2023;
- IROS 2017, 2021-2023
Student Projects
If you are looking for an IDP, guided research or Master thesis around these topics please contact me.
Topic 1: Ultrasound Image Segmentation using Latent Information
Topic 2: Learning from Demonstrations: Automatic Robotic Ultrasound scanning
Topic 3: Intelligent human-robotic shared control
Topic 4: Transverse artery segmentation and peripheral arterial disease assessment
Topic 5: Atlas-based Optimal Scanning Trajectory for Robotic US imaging Based on Deep Learning
Topic 6: Non-rigid Ultrasound and CT Registration based on Skeleton Feature
Topic 7: The Needle Detection and Reconstruction Based on Convolutional Neural Network (CNN)
Topic 8: Sensor-less 3D Ultrasound Imaging Reconstruction using deep learning framework
Here is a list of current and previously supervised projects:
Year | Type | Topic | By | Status |
---|---|---|---|---|
2023 | Master's Thesis | Free-hand 3D ultrasound reconstruction | Z. Chen | ongoing |
2023 | Master's Thesis | Enhancing Needle Tip Detection using Motion Magnification Algorithms | C. Li | Submitted to a conference |
2023 | Master's Thesis | needle segmentation in 2D ultrasound using deep learning | H. Jiang | Finished |
2023 | Lab project | Autonomous Path Planning for Intercostal Robotic Ultrasound Imaging using Reinforcement Learning | C. Qian | Submitted to a journal |
2023 | Master's Thesis | Segmentation of Bone Surface Ultrasound Images | Y. Kang | Submitted to a journal |
2023 | Master's Thesis | Robotic Ultrasound Servoing for Smart Probe Positioning | X. Li | Submitted to a journal |
2023 | Guided research | Thoracic Cartilage Ultrasound-CT Registration using Dense Skeleton Graph | C. Li | Accepted in IROS23 |
2022 | Master's Thesis | Autonomous Screening and Diagnosis of Limb Artery Tree | F. Duelmer. | Published in IEEE TASE |
2022 | Master's Thesis | Stiffness-based US and CT Registration for Optimal Scanning Trajectory | C. Zhang | Published in IEEE RAL |
2022 | Master's Thesis | Learning-based deformation correction for robotic US imaging | Y. Zhou | Published in MedIA |
2021 | Master's Thesis | Markerless Motion Capture for Reactive Robotic US | N. Danis | Published in IEEE TIM |
2021 | Master's Thesis | Reward Learning from Few Demonstrations towards Standard Ultrasound Scan Planes | Y. Bi | Published in IJRR |
2021 | Lab project | Deformation-Aware Robotic 3D Ultrasound | Y. Zhou | Published in RAL-IROS2021 |
2020 | Master's Thesis | Vision-based Robotic Ultrasound for Three-dimensional Imaging of Blood Vessels using RGB-D Camera | H. Wang | Published in ICRA2021 |
2020 | Master's Thesis | Autonomous Robotic Screening of Tubular Structures | Z. Li | Published in IEEE TIE |
2020 | Bachelor's Thesis | Fuzzy Force Controller for Robotic Ultrasound | M. Shi | Finished |
Publications (the full list can be found in Google Scholar)
Teaching
Winter term 2022/23
Title | Dates | Type | Duration | Lecturer (assistant) |
---|---|---|---|---|
Practical course - Project Management and Software Development for Medical Applications (IN2106, IN4136) | PR | 6 |