• 1869 Citations
  • 23 h-Index
20052018
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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 9 Similar Profiles
Brain Engineering & Materials Science
Image registration Engineering & Materials Science
Atlases Medicine & Life Sciences
Labels Engineering & Materials Science
Atlas Mathematics
Registration Mathematics
Image Registration Mathematics
Learning Medicine & Life Sciences

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Projects 2015 2017

Research Output 2005 2018

Dynamic fMRI networks predict success in a behavioral weight loss program among older adults

Mokhtari, F., Rejeski, W. J., Zhu, Y., Wu, G., Simpson, S. L., Burdette, J. H. & Laurienti, P. J. Jun 1 2018 In : NeuroImage. 173, p. 421-433 13 p.

Research output: Contribution to journalArticle

Weight Reduction Programs
Weight Loss
Obesity
Magnetic Resonance Imaging
Life Style

Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning

Zu, C., Gao, Y., Munsell, B., Kim, M., Peng, Z., Cohen, J. R., Zhang, D. & Wu, G. Jun 14 2018 (Accepted/In press) In : Brain Imaging and Behavior. p. 1-14 14 p.

Research output: Contribution to journalArticle

Connectome
Biomarkers
Learning
Brain
Attention Deficit Disorder with Hyperactivity

Learning non-linear patch embeddings with neural networks for label fusion

for the Alzheimer's Disease Neuroimaging Initiative Feb 1 2018 In : Medical Image Analysis. 44, p. 143-155 13 p.

Research output: Contribution to journalArticle

Image Enhancement
Image enhancement
Atlases
Magnetic resonance imaging
Labels

Non-Euclidean, convolutional learning on cortical brain surfaces

Mostapha, M., Kim, S., Wu, G., Zsembik, L., Pizer, S. & Styner, M. May 23 2018 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, Vol. 2018-April, p. 527-530 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Learning
Atlases
Neurodegenerative Diseases
Alzheimer Disease

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises

Adeli, E., Thung, K. H., An, L., Wu, G., Shi, F., Wang, T. & Shen, D. Jan 16 2018 (Accepted/In press) In : IEEE Transactions on Pattern Analysis and Machine Intelligence.

Research output: Contribution to journalArticle

Neurodegenerative diseases
Neuroimaging
Biomedical Imaging
Least squares approximations
Computer aided diagnosis