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Xiang Li
Xiang Li
Instructor in Investigation, Massachusetts General Hospital and Harvard Medical School
mgh.harvard.edu의 이메일 확인됨 - 홈페이지
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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
4622018
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
2322019
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
2012021
Sparse representation of whole-brain fMRI signals for identification of functional networks
J Lv, X Jiang, X Li, D Zhu, H Chen, T Zhang, S Zhang, X Hu, J Han, ...
Medical image analysis 20 (1), 112-134, 2015
1792015
Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients
X Li, D Zhu, X Jiang, C Jin, X Zhang, L Guo, J Zhang, X Hu, L Li, T Liu
Human brain mapping 35 (4), 1761-1778, 2014
1572014
Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function
J Lv, X Jiang, X Li, D Zhu, S Zhang, S Zhao, H Chen, T Zhang, X Hu, ...
IEEE Transactions on Biomedical Engineering 62 (4), 1120-1131, 2014
1482014
Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations
S Zhang, X Li, J Lv, X Jiang, L Guo, T Liu
Brain imaging and behavior 10, 21-32, 2016
792016
Medical image segmentation based on multi-modal convolutional neural network: study on image fusion schemes
Z Guo, X Li, H Huang, N Guo, Q Li
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
712018
Characterizing and differentiating brain state dynamics via hidden Markov models
J Ou, L Xie, C Jin, X Li, D Zhu, R Jiang, Y Chen, J Zhang, L Li, T Liu
Brain topography 28, 666-679, 2015
692015
Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex
X Jiang, X Li, J Lv, T Zhang, S Zhang, L Guo, T Liu
Human brain mapping 36 (12), 5301-5319, 2015
612015
Experimental comparisons of sparse dictionary learning and independent component analysis for brain network inference from fMRI data
W Zhang, J Lv, X Li, D Zhu, X Jiang, S Zhang, Y Zhao, L Guo, J Ye, D Hu, ...
IEEE Transactions on Biomedical Engineering 66 (1), 289-299, 2018
582018
Inferring functional interaction and transition patterns via dynamic bayesian variable partition models
J Zhang, X Li, C Li, Z Lian, X Huang, G Zhong, D Zhu, K Li, C Jin, X Hu, ...
Human brain mapping 35 (7), 3314-3331, 2014
462014
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples
D Wu, K Gong, K Kim, X Li, Q Li
International Conference on Medical Image Computing and Computer-Assisted …, 2019
402019
Modeling 4d fmri data via spatio-temporal convolutional neural networks (st-cnn)
Y Zhao, X Li, W Zhang, S Zhao, M Makkie, M Zhang, Q Li, T Liu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
402018
The timing and directional connectivity of human frontoparietal and ventral visual attention networks in emotional scene perception
D Sabatinelli, DW Frank, TJ Wanger, M Dhamala, BM Adhikari, X Li
Neuroscience 277, 229-238, 2014
372014
Characterization of task-free and task-performance brain states via functional connectome patterns
X Zhang, L Guo, X Li, T Zhang, D Zhu, K Li, H Chen, J Lv, C Jin, Q Zhao, ...
Medical image analysis 17 (8), 1106-1122, 2013
372013
Inferring consistent functional interaction patterns from natural stimulus FMRI data
J Sun, X Hu, X Huang, Y Liu, K Li, X Li, J Han, L Guo, T Liu, J Zhang
NeuroImage 61 (4), 987-999, 2012
372012
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19
A Zhong, X Li, D Wu, H Ren, K Kim, Y Kim, V Buch, N Neumark, B Bizzo, ...
Medical Image Analysis, 101993, 2021
352021
Assessing effects of prenatal alcohol exposure using group-wise sparse representation of fMRI data
J Lv, X Jiang, X Li, D Zhu, S Zhao, T Zhang, X Hu, J Han, L Guo, Z Li, ...
Psychiatry Research: Neuroimaging 233 (2), 254-268, 2015
342015
Atomic dynamic functional interaction patterns for characterization of ADHD
J Ou, Z Lian, L Xie, X Li, P Wang, Y Hao, D Zhu, R Jiang, Y Wang, Y Chen, ...
Human brain mapping 35 (10), 5262-5278, 2014
332014
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