Neusoft Medical Systems Co. Ltd | China
Dr. Zhifeng Chen is a distinguished researcher in biomedical imaging, specializing in advanced MRI acquisition and reconstruction techniques, with a strong record of scientific innovation across academia and industry. He currently serves as a principal scientist and research collaboration specialist at the institute of research and clinical innovations, neusoft medical systems, and has held influential research positions at Monash biomedical imaging, the university of southern California, Harvard medical school, and Massachusetts general hospital. His academic training includes a Ph.d. In biomedical engineering from Zhejiang university and a B.S. In electronic and information engineering from Shandong University. Over the past decade, he has contributed extensively to rapid neuroimaging, quantitative mri, non-cartesian imaging, motion-resistant dce-mri, Motion Correction and deep learning–driven reconstruction methods. Dr. Chen has authored 26 scientific documents, which have collectively received 214 citations from 189 citing documents, and he holds an h-index of 9, reflecting the impact and consistency of his research contributions. He has also led and collaborated on major projects involving physics-guided deep learning, compressed sensing, low-rank modeling, contrastive learning, and diffusion-based reconstruction methods. Alongside his research, he is an active reviewer, grant evaluator, and editorial board member, contributing significantly to the global advancement of medical imaging science.
Profile: Scopus | Orcid | Google Scholar
Featured Publications
Chen, Z., Pawar, K., Islam, K. T., Peiris, H., Egan, G., & Chen, Z. (2026). Motion‐informed deep learning for human brain magnetic resonance image reconstruction framework. NMR in Biomedicine.
Bi, X., Liu, X., Chen, Z., Chen, H., Du, Y., Chen, H., Huang, X., & Liu, F. (2025). Complex-valued image reconstruction for compressed sensing MRI using hierarchical constraint. Magnetic Resonance Imaging.
Ekanayake, M., Pawar, K., Chen, Z., Egan, G., & Chen, Z. (2025). PixCUE: Joint uncertainty estimation and image reconstruction in MRI using deep pixel classification. Journal of Imaging Informatics in Medicine.
Ekanayake, M., Pawar, K., Chen, Z., Egan, G., & Chen, Z. (2025). PixCUE: Joint uncertainty estimation and image reconstruction in MRI using deep pixel classification (Updated version). Journal of Imaging Informatics in Medicine.
Ekanayake, M., Chen, Z., Egan, G., Harandi, M., & Chen, Z. (2025). SeCo-INR: Semantically conditioned implicit neural representations for improved medical image super-resolution. Proceedings of the IEEE Winter Conference on Applications of Computer Vision.