Andi Li

Postdoctoral Fellow in Biomedical Engineering at the University of Cincinnati, with a Ph.D. focused on deep learning for dynamic PET imaging. My research centers on developing advanced machine learning methods for medical imaging, with an emphasis on improving image reconstruction, quantitative accuracy, and diagnostic performance. I have extensive experience in algorithm development, experimental design, and data-driven analysis.

Doctoral: University of Cincinnati 2025 (Biomedical Engineering)

Published Abstracts

A. Li, S. Thorn, J. B. Moody, R. E. Carson, S. Martins, A. J. Sinusas, J. Tang (2026. ) Self-Supervised Deep Learning Enhances 82Rb Washout Quantification for Infarction Detection: A Porcine Study .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Los Angeles, CA,

A. Li, C. Luong, K. Fontaine, R. E. Carson, J. Tang (2026. ) Patch Position-Aware Diffusion Model for Harmonizing HRRT and NX in Dynamic PET Imaging .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Los Angeles, CA,

M. Syed, A. Li, J. B. Moody, R. E. Carson, E. J. Miller, A. Feher, A. J. Sinusas, J. Tang (2026. ) Deep Learning-Based Ultra-Fast Myocardial Blood Flow Estimation from Static PET Histo-Images .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Los Angeles, CA,

M. Syed, A. Li, J. B. Moody, E. J. Miller, A. Feher, A. J. Sinusas, J. Tang (2026. ) Deep Learning Based Blood Pool Phase Motion Correction for Robust MBF Quantification .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Los Angeles, CA,

A. Li, S. Thorn, R. E. Carson, J. B. Moody, S. Martins, A. J. Sinusas, J. Tang (2026. ) Deep learning incorporated direct parametric image reconstruction enhances MBF estimation: correlation with microspheres in a porcine model .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Los Angeles, CA ,

M. B. Syed, S. Chaudhuri, C. Han, A. Li, A. T. Trout, J. Tang (2026. ) Histo-image to CT translation for CT-less pediatric PET imaging .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Los Angeles, CA,

C. Han, A. Li, S. Ahn, A. T. Trout, J. Tang (2026. ) Unsupervised deep learning-assisted joint activity and attenuation estimation towards CT-less low-count pediatric PET imaging .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Los Angeles, CA,

C. Han, A. Li, A. T. Trout, and J. Tang (2025. ) Integrating deep learning in joint estimation of activity and attenuation for reduced-count PET .[Abstract]Society of Nuclear Medicine and Molecular Imaging, New Orleans, LA,

M. Syed, A. Li, J. B. Moody, J. Tang (2025. ) Event-by-Event Motion Correction Improves 82-Rb PET Myocardial Blood Flow Quantification .[Abstract]Society of Nuclear Medicine and Molecular Imaging, New Orleans, LA ,

A. Li, M. Naganawa, P. Honhar, D. Matuskey, R. E. Carson, J. Tang (2024. ) Unsupervised deep learning improves low dose SV2A PET imaging: a correlation study with motor severity in Parkinson's disease .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Toronto, Canada ,

A. Li, P. Gravel, J. D. Gallezot, T. Toyonaga, K. Fontaine, R. E. Carson, J. Tang (2024. ) Adaptive Deep Image Prior Enhances Ultra-Low Dose PET Imaging with NeuroEXPLORER .[Abstract]IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), Tampa, FL,

A. Li, M. Syed, M. Naganawa, D. Matuskery, R. E. Carson, J. Tang (2023. ) Unsupervised Deep Learning with Self-Validation in Dynamic PET Dose Reduction .[Abstract]IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD), Vancouver, Canada,

C. Han, A. Li, V. V. Alves, J. MacLean, M. Syed, A. T. Trout, J. Tang (2023. ) Acquisition Time Reduction in Pediatric PET Imaging using Unsupervised Convolution Neural Networks .[Abstract]IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD), Vancouver, Canada,

A. Li, M. Syed, J. B. Moody, J. Tang (2023. ) Unsupervised Deep Learning-Incorporated Direct Parametric Reconstruction in Dynamic Myocardial Perfusion PET .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Chicago, IL,

A. Li, J. Tang (2022. ) Direct parametric image reconstruction for dynamic myocardial perfusion PET using artificial neural network representation .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Vancouver, Canada,

A. Li, M. Naganawa, K. Fontaine, P. Gravel, D. Matuskey, R. E. Carson, J. Tang (2021. ) Dose reduction in PET imaging for Parkinson disease assessment based on synaptic changes .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Virtual Edition,

A. Li, M. Naganawa, K. Fontaine, R. E. Carson, J. Tang (2020. ) Optimizing Artificial Neural Network Based Dose Reduction in Dynamic Brain PET Imaging .[Abstract]Society of Nuclear Medicine and Molecular Imaging, Virtual Edition,

Peer Reviewed Publications

C. Han, A. T. Trout, A. Li, J. G. Meier, V. P. V. Alves, J. MacLean, N. Abu Ata, Y. Li, S. E. Sharp, C. G. Anton, J. Tang (2026. ) Acquisition time/dose reduction in pediatric PET imaging using patch-based deep learning.EJNMMI physics, , More Information

A. Li, M. Naganawa, P. Honhar, K. Fontaine, P. Gravel, D. Matuskey, R. E. Carson, J. Tang (2026. ) Dose reduction for synaptic density PET imaging in Parkinson's disease.NeuroImage, , 331 ,121853 More Information

A. Li, M. B. Syed, J. B. Moody, J. Tang (2026. ) Deep Image Prior-Incorporated Direct PET Parametric Image Reconstruction.IEEE Transactions on Medical Imaging, , 45 (6 ) ,2738-2749 More Information

A. Li, M. B. Syed, M. Naganawa, D. Matuskey, R. E. Carson, J. Tang (2026. ) Dose Reduction in Dynamic PET Imaging Using Self-Supervised Two-Step Deep Image Prior.IEEE Transactions on Radiation and Plasma Medical Sciences, , More Information

A. Li, B. Yang, M. Naganawa, K. Fontaine, T. Toyonaga, R. E. Carson, J. Tang (2023. ) Dose reduction in dynamic synaptic vesicle glycoprotein 2A PET imaging using artificial neural networks.Physics in Medicine & Biology, , 68 (24 ) ,245006 More Information

B. Yang, X. Wang, A. Li, J. B. Moody, J. Tang (2021. ) Dictionary Learning Constrained Direct Parametric Estimation in Dynamic Myocardial Perfusion PET.IEEE Transactions on Medical Imaging, , 40 (12 ) ,3485 More Information

07-21-2025 Postdoctoral Fellow, University of Cincinnati, , Cincinnati