Md Abdur Rahaman

According to our database, Md Abdur Rahaman authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age.

Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Jingyu Liu, Vince D. Calhoun

Brain Connect., 2024

2023

Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data.

Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Tri-Clustering Dynamic Functional Network Connectivity Identifies Significant Schizophrenia Effects Across Multiple States in Distinct Subgroups of Individuals.

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

Brain Connect., 2022

Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data.

Md Abdur Rahaman, Yash Garg, Armin Iraji, Zening Fu, Jiayu Chen, Vince D. Calhoun

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Longitudinal Whole-Brain Functional Network Change Patterns Over A Two-Year Period In The ABCD Data.

Rekha Saha, Debbrata K. Saha, Md Abdur Rahaman, Zening Fu, Vince D. Calhoun

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells: Deep Learning Approach.

Md Abdur Rahaman, Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, S. M. Hasan Mahmud

Proceedings of the ICCA 2022: 2nd International Conference on Computing Advancements, Dhaka, Bangladesh, March 10, 2022

A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction.

Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021

Statelets: A Novel Multi-Dimensional State-Shape Representation Of Brain Functional Connectivity Dynamics.

Md Abdur Rahaman, Eswar Damaraju, Debbrata Kumar Saha, Vince D. Calhoun, Sergey M. Plis

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Shared sets of correlated polygenic risk scores and voxel-wise grey matter across multiple traits identified via bi-clustering.

Md Abdur Rahaman, Amanda Rodrigue, David C. Glahn, Jessica A. Turner, Vince D. Calhoun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Md Abdur Rahaman, Jiayu Chen, Zening Fu, Noah Lewis, Armin Iraji, Vince D. Calhoun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia.

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

IEEE Trans. Biomed. Eng., 2020