Publications

2021
K. Gong, P. K. Han, K. A. Johnson, G El Fakhri, C. Ma, and Q. Li. 2021. “Attenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging.” European Journal of Nuclear Medicine and Molecular Imaging, 48, 5, Pp. 1351-1361.
P. You, X. Li, Z. Wang, H. Wang, B. Dong, and Q. Li. 2021. “Characterization of Brain Iron Deposition Pattern and Its Association With Genetic Risk Factor in Alzheimer’s Disease Using Susceptibility-Weighted Imaging.” Frontiers in Human Neuroscience, 15, Pp. 261.
A. Zhong, X. Li, D. Wu, H. Ren, K. Kim, Y. Kim, and & others. 2021. “Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19.” Medical Image Analysis.
M. Xu, D.L Sanz, P. Garces, F. Maestu, Q. Li, and D. Pantazis. 2021. “A Graph Gaussian Embedding Method for Predicting Alzheimer’s Disease Progression With MEG Brain Networks.” IEEE Transactions on Biomedical Engineering, 68, 5, Pp. 1579–1588.
W. Fang, D. Wu, K. Kim, M. K. Kalra, R Singh, L. Li, and Q. Li. 2021. “Iterative material decomposition for spectral CT using self-supervised Noise2Noise prior.” Physics in Medicine & Biology.
K. Gong, D. Wu, C.D. Arru, F Homayounieh, N. Neumark, J. Guan, Q. Li, and & others. 2021. “A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.” European Journal of Radiology.
J. Cui, K. Gong, N. Guo, C. Wu, K. Kim, H. Liu, and Q. Li. 2021. “Populational and individual information based PET image denoising using conditional unsupervised learning.” Physics in Medicine & Biology.
N. Xie, K. Gong, N. Guo, QIn. Z., Z. Wu, H. Liu, and Q Li, Z. 2021. “Rapid High-Quality PET Patlak Parametric Image Generation based on Direct Reconstruction and Temporal Nonlocal Neural Network.” NeuroImage, 118380.
S Ebrahimian, F Homayounieh, M. A. B. C. Rockenbach, P. Putha, T Raj, I Dayan, Q. Li, and & others. 2021. “Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.” Scientific Reports, 11, 1, Pp. 1-10.
I. Dayan, H. Roth, A. Zhong, Q. Li, and et. al. 2021. “Federated Learning used for predicting outcomes in SARS-COV-2 patients,” Nature Medicine. Publisher's Version
2020
F. Yu, H. Dong, M. Zhang, J. Zhao, Dong. B., Q. Li, and L. Zhang. 2020. “AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network.” 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Pp. 1503-1507.
H. Dong, F. Yu, Jiang. H., H. Zhang, Dong. B., Q. Li, and Zhang. L. 2020. “Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images.” 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) , Pp. 354-358.
M. Zhang, J. Zhao, X. Li, L. Zhang, and Q. Li. 2020. “Ascnet: Adaptive-scale convolutional neural networks for multi-scale feature learning.” IEEE 17th International Symposium on Biomedical Imaging (ISBI) , Pp. 144-148.
M. Zhang, X. Li, M. Xu, and Q. Li. 2020. “Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease.” IEEE Journal of Biomedical and Health Informatics. Publisher's Version
S. Wang, L. Liu, J. Liu, L. Miao, Q. Zhuang, N. Guo, and G. Ren. 2020. “Characteristics of prescriptions and costs for acute upper respiratory tract infections in Chinese outpatient pediatric patients: a nationwide cross-sectional study.” BMC Complementary Medicine and Therapies, 20, 1, Pp. 1-10.
N. Xie, K. Gong, N. Guo, Z. Qin, J. Cui, Z. Wu, H. Liu, and Q. Li. 2020. “Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network.” In Miccai2020 International Conference on Medical Image Computing and Computer-Assisted Intervention.
D. Wu, K. Kim, and Q. Li. 2020. “Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution.” 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Pp. 656-659.
Q. Dong, N. Qiang, J. Ly, X. Li, T. Liu, and Q. Li. 2020. “Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE).” In 2020 International Conference on Medical Image Computing and Computer-Assisted Intervention . Publisher's Version
W. Qiu, Y. Huang, and Q. Li. 2020. “IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks.” 2020 IEEE International Conference on Big Data , Pp. 4715-4723.
W. Qiu, J. Guo, X. Li, M. Xu, M. Zhang, N. Guo, and Q. Li. 2020. “Multi-label detection and classification of red blood cells in microscopic images.” In 2020 IEEE International Conference on Big Data .

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