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Alican Nalci
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Journal Articles
- 2019
- [j7]Alican Nalci, Bhaskar D. Rao, Thomas T. Liu:
Nuisance effects and the limitations of nuisance regression in dynamic functional connectivity fMRI. NeuroImage 184: 1005-1031 (2019) - [j6]Alican Nalci, Wenjing Luo
, Thomas T. Liu:
Nuisance effects in inter-scan functional connectivity estimates before and after nuisance regression. NeuroImage 202 (2019) - 2018
- [j5]Maryam Falahpour, Alican Nalci, Thomas T. Liu:
The Effects of Global Signal Regression on Estimates of Resting-State Blood Oxygen-Level-Dependent Functional Magnetic Resonance Imaging and Electroencephalogram Vigilance Correlations. Brain Connect. 8(10): 618-627 (2018) - [j4]Igor Fedorov, Alican Nalci, Ritwik Giri, Bhaskar D. Rao, Truong Q. Nguyen, Harinath Garudadri:
A unified framework for sparse non-negative least squares using multiplicative updates and the non-negative matrix factorization problem. Signal Process. 146: 79-91 (2018) - [j3]Alican Nalci
, Igor Fedorov
, Maher Al-Shoukairi
, Thomas T. Liu
, Bhaskar D. Rao:
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. IEEE Trans. Signal Process. 66(12): 3124-3139 (2018) - 2017
- [j2]Thomas T. Liu
, Alican Nalci, Maryam Falahpour:
The global signal in fMRI: Nuisance or Information? NeuroImage 150: 213-229 (2017) - [j1]Alican Nalci, Bhaskar D. Rao, Thomas T. Liu
:
Global signal regression acts as a temporal downweighting process in resting-state fMRI. NeuroImage 152: 602-618 (2017)
Conference and Workshop Papers
- 2015
- [c1]Alican Nalci, Alireza Khodamoradi, Ozgur Balkan, Fatta Nahab, Harinath Garudadri:
A computer vision based candidate for functional balance test. EMBC 2015: 3504-3508
Informal and Other Publications
- 2016
- [i1]Alican Nalci, Igor Fedorov, Bhaskar D. Rao:
Rectified Gaussian Scale Mixtures and the Sparse Non-Negative Least Squares Problem. CoRR abs/1601.06207 (2016)
Coauthor Index
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