| 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 | 247 | 2017 |
| 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 | 216 | 2011 |
| 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 | 94 | 2016 |
| Multicast performance with hierarchical cooperation X Wang, L Fu, C Hu IEEE/ACM Transactions on Networking 20 (3), 917-930, 2011 | 80 | 2011 |
| 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 | 67 | 2009 |
| 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 | 55 | 2015 |
| 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 | 52 | 2016 |
| 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 | 45 | 2017 |
| 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 | 44 | 2013 |
| 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 | 41 | 2016 |
| 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 | 38 | 2016 |
| Multicast scaling laws with hierarchical cooperation C Hu, X Wang, D Nie, J Zhao INFOCOM, 2010 Proceedings IEEE, 1-9, 2010 | 32 | 2010 |
| 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 | 27 | 2010 |
| 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 | 23 | 2013 |
| Graph-based regularization for color image demosaicking C Hu, L Cheng, YM Lu | 10 | 2012 |
| Adaptive time-sequential binary sensing for high dynamic range imaging C Hu, YM Lu Advanced Photon Counting Techniques VI 8375, 53-63, 2012 | 9 | 2012 |
| Survey on the convergence of machine learning and blockchain S Ding, C Hu Proceedings of SAI Intelligent Systems Conference, 170-189, 2022 | 5 | 2022 |
| 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 | 5 | 2014 |
| 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 | 4 | 2014 |
| An Investigation of Smart Contract for Collaborative Machine Learning Model Training S Ding, C Hu arXiv preprint arXiv:2209.05017, 2022 | 3 | 2022 |
Quanzheng LiMassachusetts General Hospital, Harvard Medical SchoolE-mail megerősítve itt: mgh.harvard.edu
