Quanzheng Li
Quanzheng Li
Massachusetts General Hospital, Harvard Medical School
Verified email at - Homepage
Cited by
Cited by
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
Artificial intelligence and machine learning in radiology: opportunities, challenges, pitfalls, and criteria for success
JH Thrall, X Li, Q Li, C Cruz, S Do, K Dreyer, J Brink
Journal of the American College of Radiology 15 (3), 504-508, 2018
Beyond finite layer neural networks: Bridging deep architectures and numerical differential equations
Y Lu, A Zhong, Q Li, B Dong
International Conference on Machine Learning, 3276-3285, 2018
From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge
P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ...
IEEE transactions on medical imaging 38 (2), 550-560, 2018
Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
Personalized iPSC-derived dopamine progenitor cells for Parkinson’s disease
JS Schweitzer, B Song, TM Herrington, TY Park, N Lee, S Ko, J Jeon, ...
New England Journal of Medicine 382 (20), 1926-1932, 2020
Deep learning-based image segmentation on multimodal medical imaging
Z Guo, X Li, H Huang, N Guo, Q Li
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 162-169, 2019
Iterative PET image reconstruction using convolutional neural network representation
K Gong, J Guan, K Kim, X Zhang, J Yang, Y Seo, G El Fakhri, J Qi, Q Li
IEEE transactions on medical imaging 38 (3), 675-685, 2018
Treadmill exercise elevates striatal dopamine D2 receptor binding potential in patients with early Parkinson’s disease
BE Fisher, Q Li, A Nacca, GJ Salem, J Song, J Yip, JS Hui, MW Jakowec, ...
Neuroreport 24 (10), 509-514, 2013
PET image reconstruction using deep image prior
K Gong, C Catana, J Qi, Q Li
IEEE transactions on medical imaging 38 (7), 1655-1665, 2018
Iterative low-dose CT reconstruction with priors trained by artificial neural network
D Wu, K Kim, G El Fakhri, Q Li
IEEE transactions on medical imaging 36 (12), 2479-2486, 2017
Early diagnosis of Alzheimer's disease based on resting-state brain networks and deep learning
R Ju, C Hu, Q Li
IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2017
PET image denoising using unsupervised deep learning
J Cui, K Gong, N Guo, C Wu, X Meng, K Kim, K Zheng, Z Wu, L Fu, B Xu, ...
European journal of nuclear medicine and molecular imaging 46, 2780-2789, 2019
Auggpt: Leveraging chatgpt for text data augmentation
H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, W Liu, N Liu, ...
arXiv preprint arXiv:2302.13007, 2023
Low‐dose CT for the detection and classification of metastatic liver lesions: results of the 2016 low dose CT grand challenge
CH McCollough, AC Bartley, RE Carter, B Chen, TA Drees, P Edwards, ...
Medical physics 44 (10), e339-e352, 2017
Exercise elevates dopamine D2 receptor in a mouse model of Parkinson's disease: In vivo imaging with [18F]fallypride
MG Vučcković, Q Li, B Fisher, A Nacca, RM Leahy, JP Walsh, J Mukherjee, ...
Movement Disorders 25 (16), 2777-2784, 2010
Optimization and performance evaluation of the microPET II scanner for in vivo small-animal imaging
Y Yang, YC Tai, S Siegel, DF Newport, B Bai, Q Li, RM Leahy, SR Cherry
Physics in medicine & biology 49 (12), 2527, 2004
Penalized PET reconstruction using deep learning prior and local linear fitting
K Kim, D Wu, K Gong, J Dutta, JH Kim, YD Son, HK Kim, G El Fakhri, Q Li
IEEE transactions on medical imaging 37 (6), 1478-1487, 2018
Non-local means denoising of dynamic PET images
J Dutta, RM Leahy, Q Li
PloS one 8 (12), e81390, 2013
Neurogenetic contributions to amyloid beta and tau spreading in the human cortex
J Sepulcre, MJ Grothe, F d’Oleire Uquillas, L Ortiz-Terán, I Diez, HS Yang, ...
Nature medicine 24 (12), 1910-1918, 2018
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