Projects per year
Personal profile
Personal profile
Dr. Zhennong Chen received his Ph.D. and Bachelor’s degree in Bioengineering from the University of California, San Diego. Before joining the AIAC at XJLTU, he worked as a postdoctoral researcher at Harvard Medical School and Massachusetts General Hospital.
His research focuses on developing innovative AI methods for medical imaging, with emphasis on computed tomography (CT) and cardiovascular imaging. His work spans image quality improvement, synthesis, segmentation, and quantitative analysis, aiming to enhance diagnostic accuracy and improve patient care.
Experience
Assistant Professor, Xi'an Jiaotong-Liverpool University, 2025.9 ~ present
Postdoctoral Resarch Fellow, Harvard Medical School and Massachusetts General Hospital, 2022.9 ~ 2025.7
Awards and honours
RSNA (Radiological Society of North America) Trainee Research Prize, 2024
Fully3D Conference Trainee Travel Award, 2023
SPIE: Medical Imaging All-Conference Best Paper Finalist, 2022
Departmental Honors and Univeresity Honors, 2017
Teaching
Welcome to my Office Hours: (D5075)
11:00~13:00PM Tues
10:00~12:00PM Wed
It will be a great help if you can email me before you come.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
PhD, University of California, San Diego
1 Jan 2018 → 10 Jun 2022
Award Date: 10 Jun 2022
Bachelor, University of California, San Diego
15 Sept 2013 → 10 Jun 2017
Research areas
- Medical Imaging
- Deep Learning
- Cardiovascular Imaging
- Computed Tomography
- Generative Model
Person Types
- Staff
Fingerprint
Dive into the research topics where Zhennong Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 2 Active
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Advancing Cine Cardiovascular Imaging with AI
Chen, Z. (PI)
1/01/26 → 31/12/27
Project: Internal Research Project
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Advancing Cine Cardiovascular Imaging with AI
Chen, Z. (PI)
1/12/25 → 31/12/27
Project: Internal Research Project
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Diffusion Model-Based Motion Correction in Portable Computed Tomography for Brain: A Human Observer Study
Chen, Z., Strotzer, Q., Lang, M., Vejdani-Jahromi, M., Yu, B., Khalid, R. N., Yoon, S., Tivnan, M., Li, Q., Lev, M. H., Gupta, R. & Wu, D., 7 Jan 2026, In: Academic Radiology.Research output: Contribution to journal › Article › peer-review
Open Access -
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
Yan, Z., Song, S., Song, D., Li, Y., Zhou, R., Sun, W., Chen, Z., Kim, S., Ren, H., Liu, T., Li, Q., Li, X., He, L. & Sun, L., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Park, J., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 540-550 11 p. (Lecture Notes in Computer Science; vol. 15972 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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An end-to-end neural network for 4D cardiac CT reconstruction using single-beat scans
Yan, Z., Chen, Z., Li, L., Zhang, L. & Wu, D., 22 Apr 2025, In: Physics in Medicine & Biology. 70, 9Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Cine cardiac magnetic resonance segmentation using temporal-spatial adaptation of prompt-enabled segment-anything-model: a feasibility study
Chen, Z., Kim, S., Ren, H., Kim, S., Yoon, S., Li, Q. & Li, X., 9 May 2025, In: Journal of Cardiovascular Magnetic Resonance.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Head CT Scan Motion Artifact Correction via Diffusion-Based Generative Models
Chen, Z., Yoon, S., Strotzer, Q., Khalid, R. N., Tivnan, M., Li, Q., Gupta, R. & Wu, D., 2025, Applications of Medical Artificial Intelligence - 3rd International Workshop, AMAI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Wu, S., Shabestari, B. & Xing, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 21-30 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15384 LNCS).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access
Activities
- 1 Invited talk
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AI-empowered Brain CT Motion Correction
Chen, Z. (Speaker)
23 Oct 2025Activity: Talk or presentation › Invited talk