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Quanzheng Li
Quanzheng Li
Massachusetts General Hospital, Harvard Medical School
在 mgh.harvard.edu 的电子邮件经过验证 - 首页
标题
引用次数
年份
-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
512014
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
12015
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
12022
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
12019
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
52013
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
52014
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
732017
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
32017
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
672006
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
42020
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
262021
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
442013
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
322021
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