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| 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 | 684 | 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 | 598 | 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 | 582 | 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 | 533 | 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 | 412 | 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 | 385 | 2019 |
| 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 | 283 | 2018 |
| 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 | 281 | 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 | 275 | 2013 |
| 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 | 267 | 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 | 247 | 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 | 246 | 2019 |
| 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 | 236 | 2017 |
| 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 | 207 | 2004 |
| 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 | 205 | 2010 |
| 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 | 201 | 2018 |
| Non-local means denoising of dynamic PET images J Dutta, RM Leahy, Q Li PloS one 8 (12), e81390, 2013 | 170 | 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 | 169 | 2018 |
| Sparse-view spectral CT reconstruction using spectral patch-based low-rank penalty K Kim, JC Ye, W Worstell, J Ouyang, Y Rakvongthai, G El Fakhri, Q Li IEEE transactions on medical imaging 34 (3), 748-760, 2014 | 163 | 2014 |
Kyungsang KimAssistant Professor at Harvard Medical School and Mass General HospitalE-mail megerősítve itt: mgh.harvard.edu
