Publications & Patents (Selected, 2022–Present)

Journal Articles

1. Sun, C. Y.*, Wang, Y., Thornburgh, C., Lin, A.-L., Qing, K., Mugler III, J. P., & Altes, T. A. (2025).
   Plug-and-Play Self-Supervised Denoising for Pulmonary Perfusion MRI.
   Bioengineering, 12(7), 724. MDPI. (Corresponding author)

2. Sun, C. Y.*, Thornburgh, C., Wang, Y., Kumar, S., & Altes, T. A. (2025).
   TagGen: Diffusion-based generative model for cardiac MR tagging super resolution.
   Magnetic Resonance in Medicine. (Corresponding author)

3. Sun, C. Y.*, Goyal, N., Wang, Y., Tharp, D. L., Kumar, S., & Altes, T. (2025).
   Conditional Diffusion-Generated Super-Resolution for Myocardial Perfusion MRI.
   Frontiers in Cardiovascular Medicine, 12, 1499593. (Corresponding author)

4. Küstner, T., Qin, C., Sun, C. Y., Ning, L., & Scannell, C. M. (2024).
   The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction.
   Magnetic Resonance Materials in Physics, Biology and Medicine, 37(3), 329–333.

5. Kim, J., Sun, C. Y., Moon, C. H., Hetherington, H., & Pan, J. (2024).
   Evaluation of the performance of a 7-T 8×2 transceiver array.
   NMR in Biomedicine, 37(8), e5146.

6. Wang, Y., Sun, C. Y., Ghadimi, S., Auger, D. C., Croisille, P., Viallon, M., Mangion, K., Berry, C., Haggerty, C. M., Jing, L., & Epstein, F. H. (2023).
   StrainNet: improved myocardial strain analysis of cine MRI by deep learning from DENSE.
   Radiology: Cardiothoracic Imaging, 5(3), e220196.

7. Sun, C. Y., Robinson, A., Wang, Y., Bilchick, K. C., Kramer, C. M., Weller, D., Salerno, M., & Epstein, F. H. (2022).
   A slice-low-rank plus sparse (slice-L+S) reconstruction method for k-t undersampled multiband first-pass myocardial perfusion MRI.
   Magnetic Resonance in Medicine, 88(3), 1140–1155.

8. Shah, S. A., Echols, J. T., Sun, C. Y., Wolf, M. J., & Epstein, F. H. (2022).
   Accelerated fatty acid composition MRI of epicardial adipose tissue: Development and application to eplerenone treatment in a mouse model of obesity-induced coronary microvascular disease.
   Magnetic Resonance in Medicine, 88(4), 1734–1747.

Patents

1. Sun, C. Y., Wang, Y., & Altes, T. (2025).
   Generative model for cardiac magnetic resonance imaging.
   US Patent No. 25UMC046 33201-18.

2. Sun, C. Y., & Altes, T. (2024).
   Systems and methods for myocardial strain analysis using magnetic resonance imaging.
   US Patent App. 63/376,529.

3. Epstein, F. H., Wang, Y., & Sun, C. Y. (2024, June 20).
   Methods and Systems for Intramyocardial Tissue Displacement and Motion Measurement.
   US Patent App. 18/472,215.

4. Epstein, F. H., Sun, C. Y., Qadimi, S., & Wang, Y. (2024, February 8).
   Intramyocardial tissue displacement and motion measurement and strain analysis from MRI cine images using DENSE deep learning.
   US Patent App. 18/277,500.

5. Sun, C. Y., & Altes, T. A. (2024, March 21).
   High spatiotemporal fidelity MRI system utilizing self-supervised learning with self-supervised regularization reconstruction methodology and associated method of use.
   US Patent App. 18/472,077.

6. Ghadimi, S., Sun, C. Y., Feng, X., Meyer, C. H., & Epstein, F. H. (2024, January 2).
   Systems and methods for phase unwrapping for DENSE MRI using deep learning.
   US Patent 11,857,288.

7. Sun, C. Y., Epstein, F. H., Yang, Y., Cai, X., Salerno, M., Meyer, C. H., & Weller, D. S. (2022, May 3).
   Multiband spiral cardiac MRI with non-cartesian reconstruction methods.
   US Patent 11,320,506.

8. Epstein, F. H., Auger, D. A., Sun, C. Y., & Cai, X. (2022, March 8).
   System and method for phase unwrapping for automatic cine DENSE strain analysis using phase predictions and region growing.
   US Patent 11,269,036.

Conference Presentations (Selected, 2023–2025)

2025

• Super-resolution cardiac MR tagging using a cascaded conditional diffusion-based generative model — Digital poster, 33rd ISMRM, Honolulu, HI, USA.
• Conditional Diffusion-Generated Super-Resolution for Myocardial First-Pass Perfusion MRI — Digital poster, 33rd ISMRM, Honolulu, HI, USA.

2024

• TagGen: Diffusion-based generative model for cardiac MR tagging super resolution — Power pitch, 28th SCMR, Washington, D.C., USA.
• Long-axis cardiac tagging MRI motion estimation using an unsupervised neural network — Power pitch, 27th SCMR, London, UK.
• Free-breathing high-resolution perfusion MRI with over 11-fold acceleration using self-supervised learning — Oral presentation, 27th SCMR, London, UK.
• Spatiotemporal fractal analysis and radiomics of free-breathing stress myocardial perfusion — Power pitch, oral presentation, 27th SCMR, London, UK.
• Phase-specific spatiotemporal fractal analysis and radiomics of free-breathing stress myocardial perfusion — Abstract 1172, 1% highlight, 32nd ISMRM, Singapore.
• High-resolution free-breathing perfusion MRI with high slice coverage via SAM in self-supervised learning with self-regularization — Power pitch, oral presentation, 32nd ISMRM, Singapore.

2023

• Self-supervised learning with self-supervised regularization reconstruction method for high spatiotemporal fidelity of accelerated myocardial perfusion MRI — Oral presentation, 26th SCMR, San Diego, CA, USA.
• Self-supervised denoising of pulmonary perfusion imaging in human subjects and swine — Abstract 1660, 31st ISMRM, Toronto, Canada.
• Evaluation of the performance of a 7T 8×2 transceiver array — Oral presentation, 31st ISMRM, Toronto, Canada.