Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation N Tajbakhsh, L Jeyaseelan, Q Li, JN Chiang, Z Wu, X Ding Medical image analysis 63, 101693, 2020 | 802 | 2020 |
Stability of cytokines, chemokines and soluble activation markers in unprocessed blood stored under different conditions N Aziz, R Detels, JJ Quint, Q Li, D Gjertson, AW Butch Cytokine 84, 17-24, 2016 | 98 | 2016 |
Hybrid principal components analysis for region-referenced longitudinal functional EEG data A Scheffler, D Telesca, Q Li, CA Sugar, C Distefano, S Jeste, D Şentürk Biostatistics 21 (1), 139-157, 2020 | 43 | 2020 |
Clinical efficacy of a medically supervised outpatient high-protein, low-calorie diet program is equivalent in prediabetic, diabetic and normoglycemic obese patients Z Li, CH Tseng, Q Li, ML Deng, M Wang, D Heber Nutrition & Diabetes 4 (2), e105-e105, 2014 | 32 | 2014 |
Learning differential diagnosis of skin conditions with co-occurrence supervision using graph convolutional networks J Wu, H Jiang, X Ding, A Konda, J Han, Y Zhang, Q Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 7 | 2020 |
Inferring brain signals synchronicity from a sample of EEG readings Q Li, D Şentürk, CA Sugar, S Jeste, C DiStefano, J Frohlich, D Telesca Journal of the American Statistical Association, 2019 | 5 | 2019 |
Region-referenced spectral power dynamics of EEG signals: A hierarchical modeling approach Q Li, J Shamshoian, D Şentürk, C Sugar, S Jeste, C DiStefano, D Telesca The annals of applied statistics 14 (4), 2053, 2020 | 3 | 2020 |
504 Deep learning empowered computer-assisted diagnosis on smartphone skin images J Wu, J Han, Y Zhang, J Hu, Q Li Journal of Investigative Dermatology 140 (7), S68, 2020 | | 2020 |
Hierarchical Integration of Heterogeneous Highly Structured Data: The Case of Functional Brain Imaging Q Li UCLA, 2018 | | 2018 |
SUPPLEMENTARY MATERIAL FOR THE MANUSCRIPT: REGION-REFERENCED SPECTRAL POWER DYNAMICS OF EEG SIGNALS: A HIERARCHICAL MODELING APPROACH Q Li, J Shamshoian, D Sentürk, C Sugar, S Jeste, C DiStefano, D Telesca | | |