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Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data.

S. Vergun, A. Deshpande, T. Meier, J. Song, D. Tudorascu, V. Nair, V. Singh, B. Biswal, M. Meyerand, R. Birn, and V. Prabhakaran. Frontiers Comput. Neurosci., (2013)

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Antonios K Danassis

Ataollah Danai

Ingeborg Danai

Michelle Danaher

Antonios K Danassis

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Identifying sex-specific risk architectures for predicting amyloid deposition using neural networks.L. Wang, A. Kolobaric, H. Aizenstein, B. Lopresti, D. Tudorascu, B. Snitz, W. Klunk, and M. Wu. NeuroImage, (2023)High b-value and diffusion tensor imaging in a canine model of dysmyelination and brain maturation.Y. Wu, A. Field, I. Duncan, A. Samsonov, Y. Kondo, D. Tudorascu, and A. Alexander. NeuroImage, 58 (3): 829-837 (2011)5-HT1A sex based differences in Bmax, in vivo KD, and BPND in the nonhuman primate.D. Wooten, A. Hillmer, J. Moirano, D. Tudorascu, E. Ahlers, M. Slesarev, T. Barnhart, J. Mukherjee, M. Schneider, and B. Christian. NeuroImage, (2013)5-HT1A binding of 18FMEFWAY in the rhesus monkey.D. Wooten, A. Hillmer, J. Moirano, D. Tudorascu, D. Murali, T. Barnhart, N. Kalin, R. Davidson, J. Mukherjee, M. Schneider and 1 other author(s). NeuroImage, 52 (Supplement-1): S129-S130 (2010)Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data.S. Vergun, A. Deshpande, T. Meier, J. Song, D. Tudorascu, V. Nair, V. Singh, B. Biswal, M. Meyerand, R. Birn and 1 other author(s). Frontiers Comput. Neurosci., (2013)PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome.M. Zammit, D. Tudorascu, C. Laymon, S. Hartley, S. Zaman, B. Ances, S. Johnson, C. Stone, C. Mathis, W. Klunk and 3 other author(s). NeuroImage, (2021)Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning.M. Torbati, D. Tudorascu, D. Minhas, P. Maillard, C. DeCarli, and S. Hwang. ICCVW, page 3277-3286. IEEE, (2021)A multi-scanner neuroimaging data harmonization using RAVEL and ComBat.M. Torbati, D. Minhas, G. Ahmad, E. O'Connor, J. Muschelli, C. Laymon, Z. Yang, A. Cohen, H. Aizenstein, W. Klunk and 4 other author(s). NeuroImage, (2021)Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning.A. Sicilia, X. Zhao, D. Minhas, E. O'Connor, H. Aizenstein, W. Klunk, D. Tudorascu, and S. Hwang. ISBI, page 650-654. IEEE, (2021)Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application.D. Minhas, Z. Yang, J. Muschelli, C. Laymon, J. Mettenburg, M. Zammit, S. Johnson, C. Mathis, A. Cohen, B. Handen and 4 other author(s). IPMU (3), volume 1239 of Communications in Computer and Information Science, page 367-379. Springer, (2020)

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Disambiguation of "Tudorascu, Dana"

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Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data.

Please choose a person to relate this publication to

Antonios K Danassis

Ataollah Danai

Ingeborg Danai

Michelle Danaher

Antonios K Danassis

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tudorascu, Dana"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data.

Please choose a person to relate this publication to

Antonios K Danassis

Ataollah Danai

Ingeborg Danai

Michelle Danaher

Antonios K Danassis

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data.