Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

M. Rahaman, J. Chen, Z. Fu, N. Lewis, A. Iraji, and V. Calhoun. EMBC, page 3267-3272. IEEE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Robert Armin

Gerhard Arminger

Peter Armin

Armin Huhn

Armin Mechkat

Other publications of authors with the same name

Dynamic state with covarying brain activity-connectivity: On the pathophysiology of schizophrenia.Z. Fu, A. Iraji, J. Turner, J. Sui, R. Miller, G. Pearlson, and V. Calhoun. NeuroImage, (2021)Going from lines to triangles: A formulation for time-frequency moments of time-series with application to study fMRI.A. Faghiri, A. Iraji, N. Lewis, K. Yang, K. Ishizuka, A. Sawa, T. Adali, and V. Calhoun. IVMSP, page 1-5. IEEE, (2022)Joint Structural and Functional Connectivity Learning Based Independent Component Analysis.M. Fouladivanda, A. Iraji, L. Wu, and V. Calhoun. MLSP, page 1-5. IEEE, (2023)Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis.T. DeRamus, A. Iraji, Z. Fu, R. Silva, J. Stephen, T. Wilson, Y. Wang, Y. Du, J. Liu, and V. Calhoun. BIBE, page 1-6. IEEE, (2021)Group-wise sparse representation of brain states reveal network abnormalities in mild traumatic brain injury.J. Lv, A. Iraji, H. Chen, F. Ge, L. Guo, X. Zhang, Z. Kou, and T. Liu. ISBI, page 58-61. IEEE, (2016)Topological Characteristics of 5d Spatially Dynamic Brain Networks in Schizophrenia.M. Salman, A. Iraji, N. Lewis, and V. Calhoun. ISBI, page 1-5. IEEE, (2023)The connectivity domain: Analyzing resting state fMRI data using feature-based data-driven and model-based methods.A. Iraji, V. Calhoun, N. Wiseman, E. Davoodi-Bojd, M. Avanaki, E. Haacke, and Z. Kou. NeuroImage, (2016)Moving beyond the 'CAP' of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping.A. Iraji, A. Faghiri, Z. Fu, P. Kochunov, B. Adhikari, A. Belger, J. Ford, S. McEwen, D. Mathalon, G. Pearlson and 6 other author(s). NeuroImage, (2022)A Unified Framework for Modularizing and Comparing Time-Resolved Functional Connectivity Methods.A. Faghiri, A. Iraji, M. Duda, T. Adali, and V. Calhoun. EMBC, page 4631-4634. IEEE, (2022)Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia.H. Falakshahi, H. Rokham, Z. Fu, D. Mathalon, J. Ford, J. Voyvodic, B. Mueller, A. Belger, S. McEwen, S. Potkin and 5 other author(s). BIBE, page 417-424. IEEE, (2020)

BibSonomy

Disambiguation of "Iraji, Armin"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Please choose a person to relate this publication to

Robert Armin

Gerhard Arminger

Peter Armin

Armin Huhn

Armin Mechkat

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Iraji, Armin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Please choose a person to relate this publication to

Robert Armin

Gerhard Arminger

Peter Armin

Armin Huhn

Armin Mechkat

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.