معرفی
Tianyi Zeng is an Associate Research Scientist at the Yale PET Center and junior faculty in the Department of Radiology and Biomedical Imaging at Yale School of Medicine. He holds a Ph.D. in Biomedical Engineering from the University of Chinese Academy of Sciences (2021) and a B.E. from Xi'an Jiaotong University (2016). His research focuses on advancing PET imaging technologies, particularly motion correction and reconstruction methods for the NeuroEXPLORER brain PET scanner. Key areas include deep learning applications, MRI compatibility, and improving image quality.
Research Interests
- PET image reconstruction and motion correction
- Development of high-resolution PET systems (e.g., NeuroEXPLORER, SIAT bPET)
- Deep learning for medical imaging
- Multi-modal imaging (PET/MRI integration)
Recent Articles
Recent work emphasizes motion correction algorithms, NeuroEXPLORER performance evaluation, and semi-supervised learning in medical image segmentation. His studies address challenges in clinical PET accuracy and hardware innovation.
Awards
- 2024 IEEE NSS/MIC/RTSD Trainee Grant
- 2024 SNMMI Poster Award (Third Place)
- 2023 Best Paper Award (2nd Place) at Machine Learning in Clinical Neuroimaging workshop
Grants & Collaborations
Recipient of multiple IEEE and SNMMI grants. Collaborations include United Imaging Healthcare America for multi-tracer PET studies.
Labs & Teams
Primary affiliation: Yale PET Center. Active in the Department of Radiology and Biomedical Imaging, contributing to translational imaging research.
