Md Abdur Rahaman

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Experimental Conditions

Top Venues

ICASSP Workshops

Publications

Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Jingyu Liu, Vince D. Calhoun
A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. Brain Connect. 14 (2) (2024)
Giorgio Dolci, Federica Cruciani, Md Abdur Rahaman, Anees Abrol, Jiayu Chen, Zening Fu, Ilaria Boscolo Galazzo, Gloria Menegaz, Vince D. Calhoun
An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease. CoRR (2024)
Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun
Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. ICASSP Workshops (2023)
Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Vince D. Calhoun
Longitudinal Whole-Brain Functional Network Change Patterns Over A Two-Year Period In The ABCD Data. ISBI (2022)
Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun
Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data. MLSP (2022)
Md Abdur Rahaman, Eswar Damaraju, Jessica A. Turner, Theo G. M. van Erp, Daniel H. Mathalon, Jatin G. Vaidya, Bryon A. Mueller, Godfrey D. Pearlson, Vince D. Calhoun
Tri-Clustering Dynamic Functional Network Connectivity Identifies Significant Schizophrenia Effects Across Multiple States in Distinct Subgroups of Individuals. Brain Connect. 12 (1) (2022)
Md Abdur Rahaman, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, S. M. Hasan Mahmud
Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells: Deep Learning Approach. ICCA (2022)
Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun
A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. BIBE (2022)
Md Abdur Rahaman, Eswar Damaraju, Debbrata Kumar Saha, Vince D. Calhoun, Sergey M. Plis
Statelets: A Novel Multi-Dimensional State-Shape Representation Of Brain Functional Connectivity Dynamics. ISBI (2021)
Md Abdur Rahaman, Md Mamun Ali, Md. Nazmul Hossen, Md. Nayer, Kawsar Ahmed, Francis M. Bui
DCBC_DeepL: Detection and Counting of Blood Cells Employing Deep Learning and YOLOv5 Model. ICAIDS (2021)
Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Vince D. Calhoun
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness. EMBC (2021)
Md Abdur Rahaman, Amanda Rodrigue, David C. Glahn, Jessica A. Turner, Vince D. Calhoun
Shared sets of correlated polygenic risk scores and voxel-wise grey matter across multiple traits identified via bi-clustering. EMBC (2021)
Md Abdur Rahaman, Daniel H. Mathalon, Hyo Jong Lee, Wenhao Jiang, Bryon A. Mueller, Ole A. Andreassen, Ingrid Agartz, Scott R. Sponheim, Andrew R. Mayer, Julia M. Stephen, Rex E. Jung, Jessica A. Turner, José M. Cañive, Juan R. Bustillo, Vince D. Calhoun, Cota Navin Gupta, Srinivas Rachakonda, Jiayu Chen, Jingyu Liu, Theo G. M. van Erp, Steven G. Potkin, Judith M. Ford
N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia. IEEE Trans. Biomed. Eng. 67 (1) (2020)