-Multimodality: Positron Emission Tomography-Magnetic Resonance Imaging J Ouyang, Q Li, G El Fakhri Emerging Imaging Technologies in Medicine, 240-251, 2012 | | 2012 |
[68Ga]-DOTATATE PET Image Denoising using Unsupervised Deep Learning can Improve CNR in A Wide Range J Cui, K Gong, T Pan, Q Li Journal of Nuclear Medicine 61 (supplement 1), 429-429, 2020 | | 2020 |
1127: EVALUATING AGREEMENT ACROSS CLINICIANS IN PREDICTING OXYGEN REQUIREMENTS FOR CRITICALLY ILL PATIENTS C Burke, J Wollborn, S Sami, D Buric, J Carness, MABC Rockenbach, ... Critical Care Medicine 50 (1), 562, 2022 | | 2022 |
169: COMPARING AI AND CLINICIANS IN OXYGENATION DEVICE MANAGEMENT FOR SUSPECTED COVID-19 ICU PATIENTS MABC Rockenbach, D Buric, J Carness, C Burke, J Wollborn, S Sami, ... Critical Care Medicine 50 (1), 68, 2022 | | 2022 |
18F-alfatide II and 18F-FDG dual-tracer dynamic PET for parametric, early prediction of tumor response to therapy J Guo, N Guo, L Lang, DO Kiesewetter, Q Xie, Q Li, HS Eden, G Niu, ... Journal of Nuclear Medicine 55 (1), 154-160, 2014 | 51 | 2014 |
18F-FDG dynamic PET/CT is effective on early assessment of therapy response in patients with head and neck cancer N Guo, RF Yen, M Wang, G El Fakhri, Q Li Journal of Nuclear Medicine 56 (supplement 3), 17-17, 2015 | 1 | 2015 |
18F-FLT PET/CT tumor heterogeneity is an effective biomarker in the diagnosis and staging of lung cancer N Guo, RF Yen, CJ Yu, WY Liao, G El Fakhri, Q Li Journal of Nuclear Medicine 55 (supplement 1), 123-123, 2014 | | 2014 |
2.5 D Nouveau VAE model for 11C-DASB PET image denoising and uncertainty estimation J Cui, Y Xie, K Gong, K Kim, YD Son, JH Kim, H Liu, Q Li Journal of Nuclear Medicine 63 (supplement 2), 3223-3223, 2022 | 1 | 2022 |
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification H Bao, H Ren, Z Zhou, X Li, N Guo, Q Li 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 1 | 2019 |
3D Structural Convolutional Sparse Coding for PET Image Reconstruction N Xie, K Gong, N Guo, Z Qin, Z Wu, H Liu, Q Li Journal of Nuclear Medicine 61 (supplement 1), 576-576, 2020 | | 2020 |
4D Mathematical model observer for lesion detection on respiratory-gated PET imaging A Lorsakul, Q Li, C Hoog, Y Petibon, G El Fakhri Journal of Nuclear Medicine 54 (supplement 2), 538-538, 2013 | 5 | 2013 |
4D numerical observer for lesion detection in respiratory‐gated PET A Lorsakul, Q Li, CM Trott, C Hoog, Y Petibon, J Ouyang, AF Laine, ... Medical Physics 41 (10), 102504, 2014 | 5 | 2014 |
A cascaded convolutional neural network for x-ray low-dose CT image denoising D Wu, K Kim, GE Fakhri, Q Li arXiv preprint arXiv:1705.04267, 2017 | 73 | 2017 |
A cascaded convolutional neural network for X-ray low-dose CT image denoising W Dufan, K Kim, GE Fakhri, Q Li arXiv preprint arXiv:1705.04267, 2017 | 3 | 2017 |
A fast fully 4-D incremental gradient reconstruction algorithm for list mode PET data Q Li, E Asma, S Ahn, RM Leahy IEEE Transactions on Medical Imaging 26 (1), 58-67, 2006 | 67 | 2006 |
A general computational framework to measure the expressiveness of complex networks using a tighter upper bound of linear regions Y Xie, G Chen, Q Li arXiv preprint arXiv:2012.04428, 2020 | 4 | 2020 |
A graph Gaussian embedding method for predicting Alzheimer's disease progression with MEG brain networks M Xu, DL Sanz, P Garces, F Maestu, Q Li, D Pantazis IEEE Transactions on Biomedical Engineering 68 (5), 1579-1588, 2021 | 26 | 2021 |
A graph theoretical regression model for brain connectivity learning of Alzheimer's disease C Hu, L Cheng, J Sepulcre, G El Fakhri, YM Lu, Q Li 2013 IEEE 10th International Symposium on Biomedical Imaging, 616-619, 2013 | 44 | 2013 |
A method for metastatic lesion detection in dynamic FDG-PET Q Li, Z Li, X Yu, P Conti, R Leahy Journal of Nuclear Medicine 50 (supplement 2), 179-179, 2009 | | 2009 |
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records K Gong, D Wu, CD Arru, F Homayounieh, N Neumark, J Guan, V Buch, ... European journal of radiology 139, 109583, 2021 | 32 | 2021 |