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; et al. (J. Open Source Softw., 2020)

Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry. - Sunitha Basodi; Rajikha Raja; Harshvardhan Gazula; Javier Tomas Romero; Sandeep R. Panta; Vince D. Calhoun (ISBI, 2023)

Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. - Dylan Martin; Sunitha Basodi; Sandeep R. Panta; Kelly Rootes-Murdy; Paul Prae; Anand D. Sarwate; Ross Kelly; Javier Tomas Romero; Bradley T. Baker; Harshvardhan Gazula; Henry Jeremy Bockholt; Jessica A. Turner; et al. (Frontiers Neuroinformatics, 2023)

Advanced machine learning in neuroimaging studies via federated learning. - Sunitha Basodi; Javier Tomas Romero; Sandeep R. Panta; Dylan Martin; Sergey M. Plis; Anand D. Sarwate; Vince D. Calhoun (IEEE Big Data, 2024)

Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC. - Kelly Rootes-Murdy; Sandeep R. Panta; Ross Kelly; Javier Tomas Romero; Yann Quidé; Murray J. Cairns; C. M. Loughland; Vaughan J. Carr; Stanley V. Catts; Assen Jablensky; Melissa J. Green; Frans Henskens; et al. (Patterns, 2024)

Decentralized Mixed Effects Modeling in COINSTAC. - Sunitha Basodi; Rajikha Raja; Harshvardhan Gazula; Javier Tomas Romero; Sandeep R. Panta; Thomas Maullin-Sapey; Thomas E. Nichols; Vince D. Calhoun (Neuroinformatics, 2024)

Federated Analysis of Neuroimaging Data Using Coinstac. - Sunitha Basodi; Ross Kelly; Javier Tomas Romero; Dylan Martin; Sandeep R. Panta; Sergey M. Plis; Anand D. Sarwate; Vince D. Calhoun (ISBI, 2025)