M. A. B. S. Akhonda

ICA and IVA for Data Fusion: An Overview and a New Approach Based on Disjoint Subspaces

Vince D. Calhoun, Tülay Adali, M. A. B. S. Akhonda, 2019, IEEE Sensors Letters.

Identification of Subgroup Differences Using IVA: Application to fMRI Data Fusion*

Tülay Adali, Zhongqiang Luo, Suchita Bhinge, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Joint-IVA for identification of discriminating features in EEG: Application to a driving study

Tulay Adali, Suchita Bhinge, Qunfang Long, 2020, Biomed. Signal Process. Control..

Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps

Rui Jin, Tülay Adali, Seung-Jun Kim, 2020, IEEE Journal of Selected Topics in Signal Processing.

Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness

M. A. B. S. Akhonda, Stephen S Strother, E. Acar, 2022, IEEE Signal Processing Magazine.

Complete Model Identification Using Independent Vector Analysis: Application to the Fusion of Task FMRI Data

M. A. B. S. Akhonda, V. Calhoun, T. Adalı, 2021, 2021 IEEE Data Science and Learning Workshop (DSLW).

Evidence of An Association Between Cerebral Blood Flow and Microstructural Integrity in Normative Aging Using a Holistic MRI Approach

M. A. B. S. Akhonda, R. Spencer, M. Bouhrara, 2022, Journal of magnetic resonance imaging : JMRI.

Consecutive Independence and Correlation Transform for Multimodal Data Fusion: Discovery of One-to-Many Associations in Structural and Functional Imaging Data

M. A. B. S. Akhonda, V. Calhoun, T. Adalı, 2021, Applied Sciences.

Hypertensive adults exhibit lower myelin content: A multicomponent relaxometry and diffusion MRI study

M. A. B. S. Akhonda, M. Bouhrara, L. Ferrucci, 2023, medRxiv.

C-ICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data

Vince D. Calhoun, Tülay Adali, Chunying Jia, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).