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Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022)


Nov 07, 2022
Arman Rahmim, Tyler J. Bradshaw, Irène Buvat, Joyita Dutta, Abhinav K. Jha, Paul E. Kinahan, Quanzheng Li, Chi Liu, Melissa D. McCradden, Babak Saboury, Eliot Siegel, John J. Sunderland, Richard L. Wahl


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Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training


Nov 05, 2022
Homgmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li


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PET image denoising based on denoising diffusion probabilistic models


Sep 14, 2022
Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan

* 8 figures 

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FedDAR: Federated Domain-Aware Representation Learning


Sep 08, 2022
Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li


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Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising


Sep 07, 2022
Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong

* 10 pages 

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A Noise-level-aware Framework for PET Image Denoising


Mar 15, 2022
Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyungsang Kim, Kuang Gong, Quanzheng Li


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Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction


Mar 05, 2022
Yutong Xie, Quanzheng Li


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Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer


Feb 08, 2022
Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li


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Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning


Feb 07, 2022
Jin-Hyun Ahn, Kyungsang Kim, Jeongwan Koh, Quanzheng Li

* 13 pages, 9 figures, submitted for conference publication 

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Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior


Jun 18, 2021
Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li

* 10 pages, 10 figures 

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