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Hao He 0002
Person information
- affiliation: University of New Mexico, Department of Electrical and Computer Engineering, Albuquerque, NM, USA
- affiliation: The Mind Research Network, Albuquerque, NM, USA
Other persons with the same name
- Hao He — disambiguation page
- Hao He 0001 — Amazon.com, Seattle, WA, USA (and 1 more)
- Hao He 0003 — University of Chinese Academy of Sciences, Department of Electronic, Electrical and Communication Engineering, Beijing, China
- Hao He 0004 — Xiangtan University, College of Information Engineering, China (and 1 more)
- Hao He 0005 — Rocket Force University of Engineering, Department of Control Engineering, Xian, China
- Hao He 0006 — Google Inc., Mountain View, CA, USA (and 1 more)
- Hao He 0007 — Shanghai Jiao Tong University, Department of Electronic Engineering, State Key Laboratory of Advanced Optical Communication Systems and Networks, China
- Hao He 0008 — Syracuse University, Department of Electrical Engineering and Computer Science, NY, USA
- Hao He 0009 — University of Missouri Columbia, School of Information Science and Learning Technologies, MO, USA
- Hao He 0010 — University of Maryland, Department of Atmospheric and Oceanic Science, College Park, MD, USA
- Hao He 0011 — Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
- Hao He 0012 — Peking University, School of Computer Science, Beijing China (and 1 more)
- Hao He 0013 — Harbin University of Commerce, School of Management, China
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2010 – 2019
- 2017
- [j4]Hao He, Dongdong Lin, Ji-Gang Zhang, Yu-Ping Wang, Hong-Wen Deng:
Comparison of statistical methods for subnetwork detection in the integration of gene expression and protein interaction network. BMC Bioinform. 18(1): 149:1-149:6 (2017) - 2015
- [j3]Qingbao Yu, Erik B. Erhardt, Jing Sui, Yuhui Du, Hao He, R. Devon Hjelm, Mustafa S. Çetin, Srinivas Rachakonda, Robyn L. Miller, Godfrey D. Pearlson, Vince D. Calhoun:
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: Application to healthy controls and patients with schizophrenia. NeuroImage 107: 345-355 (2015) - [j2]Yuhui Du, Godfrey D. Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D. Calhoun:
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. NeuroImage 122: 272-280 (2015) - [c9]Yuhui Du, Hao He, Lei Wu, Qingbao Yu, Jing Sui, Vince D. Calhoun:
Dynamic default mode network connectivity diminished in patients with schizophrenia. ISBI 2015: 474-477 - [c8]Yuhui Du, Godfrey D. Pearlson, Hao He, Lei Wu, Jiayu Chen, Vince D. Calhoun:
Identifying brain dynamic network states via GIG-ICA: Application to schizophrenia, bipolar and schizoaffective disorders. ISBI 2015: 478-481 - [c7]Hao He, Juan R. Bustillo, Yuhui Du, Qingbao Yu, Thomas R. Jones, Tianzi Jiang, Vince D. Calhoun, Jing Sui:
Resting fMRI measures are associated with cognitive deficits in schizophrenia assessed by the MATRICS consensus cognitive battery. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171V - 2014
- [c6]Yuhui Du, Elena A. Allen, Hao He, Jing Sui, Vince D. Calhoun:
Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches. EMBC 2014: 1026-1029 - [c5]Yuhui Du, Jingyu Liu, Jing Sui, Hao He, Godfrey D. Pearlson, Vince D. Calhoun:
Exploring difference and overlap between schizophrenia, schizoaffective and bipolar disorders using resting-state brain functional networks. EMBC 2014: 1517-1520 - [c4]Jing Sui, Eduardo Castro, Hao He, David A. Bridwell, Yuhui Du, Godfrey D. Pearlson, Tianzi Jiang, Vince D. Calhoun:
Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. EMBC 2014: 3889-3892 - [c3]Yuhui Du, Jing Sui, Qingbao Yu, Hao He, Vince D. Calhoun:
Semi-supervised learning of brain functional networks. ISBI 2014: 1-4 - 2013
- [j1]Jing Sui, Hao He, Godfrey D. Pearlson, Tülay Adali, Kent A. Kiehl, Qingbao Yu, Vincent P. Clark, Eduardo Castro, Tonya White, Bryon A. Mueller, Beng-Choon Ho, Nancy Andreasen, Vince D. Calhoun:
Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia. NeuroImage 66: 119-132 (2013) - [c2]Dongdong Lin, Hao He, Jingyao Li, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang:
Network-based investigation of genetic modules associated with functional brain networks in schizophrenia. BIBM 2013: 9-16 - 2012
- [c1]Jing Sui, Hao He, Jingyu Liu, Qingbao Yu, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun:
Three-way FMRI-DTI-methylation data fusion based on mCCA+jICA and its application to schizophrenia. EMBC 2012: 2692-2695
Coauthor Index
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