Debbrata K. Saha

According to our database, Debbrata K. Saha authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

Federated approaches for the visualization and analysis of neuroimaging data.

Debbrata Kumar Saha

PhD thesis, 2024

BMW Agents - A Framework For Task Automation Through Multi-Agent Collaboration.

Noel Crawford, Edward B. Duffy, Iman Evazzade, Torsten Foehr, Gregory Robbins, Debbrata Kumar Saha, Jiya Varma, Marcin Ziolkowski

CoRR, 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

Functional and Structural Longitudinal Change Patterns in Adolescent Brain.

Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A Multivariate Method for Estimating and comparing whole brain functional connectomes from fMRI and PET data.

Debbrata Kumar Saha, Anastasia Bohsali, Rekha Saha, Ihab Hajjar, Vince D. Calhoun

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain.

Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

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

Decentralized Spatially Constrained Source-Based Morphometry.

Debbrata K. Saha, Rogers F. Silva, Bradley T. Baker, Vince D. Calhoun

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

2021

A Classification-Based Approach to Estimate the Number of Resting Functional Magnetic Resonance Imaging Dynamic Functional Connectivity States.

Debbrata K. Saha, Eswar Damaraju, Barnaly Rashid, Anees Abrol, Sergey M. Plis, Vince D. Calhoun

Brain Connect., 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

2020

COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation.

Harshvardhan Gazula, Ross Kelly, Javier Tomas Romero, Eric Verner, Bradley T. Baker, Rogers F. Silva, Hafiz Imtiaz, Debbrata K. Saha, Rajikha Raja, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vince D. Calhoun

J. Open Source Softw., 2020

2019

Classification As a Criterion to Select Model Order For Dynamic Functional Connectivity States in Rest-fMRI Data.

Debbrata K. Saha, Anees Abrol, Eswar Damaraju, Barnaly Rashid, Sergey M. Plis, Vince D. Calhoun

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2017

See without looking: joint visualization of sensitive multi-site datasets.

Debbrata K. Saha, Vince D. Calhoun, Sandeep R. Panta, Sergey M. Plis

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017