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Chenhui Hu
Chenhui Hu
PhD, School of Engineering and Applied Sciences, Harvard University, USA
Verified email at seas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Early diagnosis of Alzheimer's disease based on resting-state brain networks and deep learning
C Hu, R Ju, P Zhou, Q Li
IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2017
2322017
Delay and capacity tradeoff analysis for motioncast
X Wang, W Huang, S Wang, J Zhang, C Hu
IEEE/ACM transactions on networking 19 (5), 1354-1367, 2011
2182011
Clinical decision support for Alzheimer's disease based on deep learning and brain network
C Hu, R Ju, Y Shen, P Zhou, Q Li
2016 IEEE international conference on communications (ICC), 1-6, 2016
912016
Multicast performance with hierarchical cooperation
X Wang, L Fu, C Hu
IEEE/ACM Transactions on Networking 20 (3), 917-930, 2011
792011
MotionCast: on the capacity and delay tradeoffs
C Hu, X Wang, F Wu
Proceedings of the tenth ACM international symposium on Mobile ad hoc …, 2009
672009
A Spectral Graph Regression Model for Learning Brain Connectivity of Alzheimer’s Disease
C Hu, L Cheng, J Sepulcre, KA Johnson, GE Fakhri, YM Lu, Q Li
PLOS ONE, 2015
522015
Matched signal detection on graphs: Theory and application to brain imaging data classification
C Hu, J Sepulcre, KA Johnson, GE Fakhri, YM Lu, Q Li
NeuroImage 125, 587-600, 2016
482016
Partial volume correction for PET quantification and its impact on brain network in Alzheimer’s disease
J Yang, C Hu, N Guo, J Dutta, LM Vaina, KA Johnson, J Sepulcre, ...
Scientific Reports 7 (1), 13035, 2017
442017
A graph theoretical regression model for brain connectivity learning of Alzhimer's disease
C Hu, L Cheng, J Sepulcre, G El Fakhri, YM Lu, Q Li
IEEE International Symposium on Biomedical Imaging, 2013
442013
Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning with Deep Belief Networks
J Ying, J Dutta, N Guo, C Hu, D Zhou, A Sitek, Q Li
IEEE Journal of Biomedical and Health Informatics, 2016
392016
Localizing sources of brain disease progression with network diffusion model
C Hu, X Hua, J Ying, PM Thompson, GE Fakhri, Q Li
IEEE journal of selected topics in signal processing 10 (7), 1214-1225, 2016
352016
Multicast scaling laws with hierarchical cooperation
C Hu, X Wang, D Nie, J Zhao
INFOCOM, 2010 Proceedings IEEE, 1-9, 2010
322010
A geometry study on the capacity of wireless networks via percolation
C Hu, X Wang, Z Yang, J Zhang, Y Xu, X Gao
IEEE Transactions on Communications 58 (10), 2916-2925, 2010
272010
Matched signal detection on graphs: Theory and application to brain network classification
C Hu, L Cheng, J Sepulcre, G El Fakhri, YM Lu, Q Li
Information Processing in Medical Imaging: 23rd International Conference …, 2013
232013
Graph-based regularization for color image demosaicking
C Hu, L Cheng, YM Lu
102012
Adaptive time-sequential binary sensing for high dynamic range imaging
C Hu, YM Lu
Advanced Photon Counting Techniques VI 8375, 53-63, 2012
92012
Inferring sources of dementia progression with network diffusion model
C Hu, X Hua, PM Thompson, G El Fakhri, Q Li
Machine Learning in Medical Imaging: 5th International Workshop, MLMI 2014 …, 2014
52014
Survey on the convergence of machine learning and blockchain
S Ding, C Hu
Proceedings of SAI Intelligent Systems Conference, 170-189, 2022
42022
Evaluating structural symmetry of weighted brain networks via graph matching
C Hu, G El Fakhri, Q Li
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
42014
An Investigation of Smart Contract for Collaborative Machine Learning Model Training
S Ding, C Hu
arXiv preprint arXiv:2209.05017, 2022
32022
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