CV
Only selected publications are listed here. For a complete list, please refer to the PDF version or the Publications tab, or my Google Scholar profile.
Contact Information
| Name | Hang Jung Ling |
| Professional Title | Postdoctoral researcher |
| hangjung.ling@gmail.com | |
| Phone | |
| Location | Prinsesse Kristinas gt. 3, Trondheim, Trøndelag 7030 |
| Website | https://hangjung97.github.io |
Professional Summary
A Malaysian in Norway interested in medical artificial intelligence and cardiac imaging.
Experience
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2025 - Present Trondheim, NO
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2024 - 2025 Villeurbanne, FR
Postdoctoral researcher
CREATIS
Development of a web-based clinical GUI for automatic intracardiac blood-flow quantification in the left ventricle, integrating deep-learning–based segmentation, dealiasing, and vector flow mapping models.
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2021 - 2021 Villeurbanne, FR
Student researcher
CREATIS
Final year project: Development of an end-to-end 3D U-Net based rib fracture detection algorithm on computed tomography (CT) images
Education
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2021 - 2024 Villeurbanne, FR
Ph.D.
INSA Lyon - MEGA Doctoral School (ED 162)
Physics-guided neural networks for intraventricular vector flow mapping by color Doppler
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2020 - 2021 Villeurbanne, FR
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2016 - 2021 Villeurbanne, FR
Research Interests
Cardiac imaging: Cardiac blood flow, Echocardiography, MRI
Deep learning: Multimodal learning, Physics-informed neural networks, Physics-guided neural networks
Awards
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2025 -
2021 -
2015 6-year scholarship for bachelor's and master's degree studies abroad
Malaysian Public Service Department or Jabatan Perkhidmatan Awam (JPA)
The JPA scholarship (loan starting from 2016) is awarded to top Malaysian students who score 9A+ and above in the national pre-university examination, Sijil Pelajaran Malaysia (SPM), or the Malaysian Certificate of Education.
Publications
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2024 Boosting Cardiac Color Doppler Frame Rates with Deep Learning
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
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2024 Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
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2023 Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?
Proc. Functional Imaging and Modeling of the Heart (2023)
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2023 Phase Unwrapping of Color Doppler Echocardiography using Deep Learning
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Service and Volunteering
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2023 - 2023 Lyon, FR
Student volunteer for conference organization
Functional Imaging and Modeling of the Heart (FIMH)
- Set-up of the venue.
- Recording of keynote and oral presentations.
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2023 - 2023 Lyon, FR
Student volunteer for summer school organization
Deep Learning for Medical Imaging School (DLMI)
Management of the administrative tasks and organization of the hands-on sessions.
- Set-up of the venue.
- Recording of keynote presentations.
- Tutorial preparation and validation.
- Moderation of hands-on sessions.
Skills
Programming (Expert): Python, Matlab, C++, Java
Deep learning (Expert): PyTorch, Lightning, Monai, Hydra
Web Development (Adept): Front-end (HTML, CSS), JavaScript
Languages
Chinese : Native speaker
English : Fluent
French : Fluent
Malay : Fluent
References
- Olivier BernardDeputy director, CREATIS, Lyon, France Professor, Department of Electrical Engineering, INSA Lyon, France
- Damien GarciaINSERM researcher, CREATIS, Lyon, France