Mohammad A. B. S. Akhonda

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Dictionary Learning

Tensor Decomposition

Top Venues

ICASSP Workshops

Biomed. Signal Process. Control.

Publications

Isabell Lehmann, Tanuj Hasija, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali
Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data. IEEE Access 12 (2024)
Mark D. LoPresto, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali
Fusion of Multi-Modal Neuroimaging Data and Association With Cognitive Data. ICASSP Workshops (2023)
Ben Gabrielson, Mingyu Sun, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali
Independent Vector Analysis with Multivariate Gaussian Model: a Scalable Method by Multilinear Regression. ICASSP (2023)
Hanlu Yang, Fateme Ghayem, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data. ICASSP (2023)
R. A. Borsoi, Isabell Lehmann, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Konstantin Usevich, David Brie, Tülay Adali
Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion. ICASSP (2023)
Isabell Lehmann, Evrim Acar, Tanuj Hasija, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Peter J. Schreier, Tülay Adali
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. ICASSP (2022)
Mohammad A. B. S. Akhonda, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali
Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI Data. Sensors 22 (3) (2022)
H. Yang, Mohammad A. B. S. Akhonda, F. Ghayem, Qunfang Long, Vince D. Calhoun, Tülay Adali
Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data. ICASSP (2022)
Ben Gabrielson, Mohammad A. B. S. Akhonda, Zois Boukouvalas, Seung-Jun Kim, Tülay Adali
ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm. ICASSP (2021)
Zhongqiang Luo, Qunfang Long, Suchita Bhinge, Mohammad A. B. S. Akhonda, Tülay Adali
Identification of Subgroup Differences Using IVA: Application to fMRI Data Fusion. EMBC (2020)
Ben Gabrielson, Mohammad A. B. S. Akhonda, Suchita Bhinge, Justin Brooks, Qunfang Long, Tülay Adali
Joint-IVA for identification of discriminating features in EEG: Application to a driving study. Biomed. Signal Process. Control. 61 (2020)
Mohammad A. B. S. Akhonda, Qunfang Long, Suchita Bhinge, Vince D. Calhoun, Tülay Adali
Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data. CISS (2019)
Chunying Jia, Mohammad A. B. S. Akhonda, Qunfang Long, Vince D. Calhoun, Shari Waldstein, Tülay Adali
C-ICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data. CISS (2019)
Mohammad A. B. S. Akhonda, Yuri Levin-Schwartz, Suchita Bhinge, Vince D. Calhoun, Tülay Adali
Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data. ICASSP (2018)
Krishna Dontaraju, Seung-Jun Kim, Mohammad A. B. S. Akhonda, Tülay Adali
Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning. ACSSC (2018)