Author

K M Ibrahim Khalilullah

Georgia Institute of TechnologyORCID 0000-0002-7227-2123Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank youiD· 2 shared Marlena DudaiD· 2 shared Oktay AgcaogluiD· 2 shared Tülay AdalıiD· 2 shared Vince D. CalhouniD· 2 shared

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2 shared papersNeuroscience

Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank youORCID

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2 papers

Recent·Most cited

Parallel Multilink Group Joint ICA: Fusion of 3D Structural and 4D Functional Data Across Multiple Resting fMRI Networks

K M Ibrahim Khalilullah, Oktay Agcaoglu, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Marlena Duda, Tülay Adalı, Vince D. Calhoun

This paper introduces pmg-jICA, a method that fuses structural and functional brain data to identify structure-function links in Alzheimer's disease, revealing disrupted brain regions and network connectivity.

bioRxiv · Mar 21, 2024 · PreprintNeuroscience

Multimodal fusion of multiple rest fMRI networks and MRI gray matter via multilink joint ICA reveals highly significant function/structure coupling in Alzheimer's disease

K M Ibrahim Khalilullah, Oktay Agcaoglu, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Tülay Adalı, Marlena Duda, Vince D. Calhoun

This paper uses ml-jICA to analyze multimodal MRI data from Alzheimer's patients and controls, finding significant function/structure coupling in brain regions like the default mode network and hippocampus.

bioRxiv · Feb 28, 2023 · PreprintNeuroscience