Sandeep R. Panta

Orcid: 0009-0004-5092-0988

According to our database1, Sandeep R. Panta authored at least 13 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Federated Analysis of Neuroimaging Data Using Coinstac.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Decentralized ComBat-Mega for Harmonizing FNC Data in Coinstac.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024
Decentralized Mixed Effects Modeling in COINSTAC.
Neuroinformatics, April, 2024

Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC.
Patterns, 2024

Privacy-Preserving Visualization of Brain Functional Network Connectivity.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Federated Privacy-Preserving Visualization: A Vision Paper.
Proceedings of the IEEE International Conference on Big Data, 2024

Advanced machine learning in neuroimaging studies via federated learning.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility.
Frontiers Neuroinformatics, March, 2023

Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2018
Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity.
Frontiers Neuroinformatics, 2018

2017
COINSTAC: Decentralizing the future of brain imaging analysis.
F1000Research, 2017

See without looking: joint visualization of sensitive multi-site datasets.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
A Tool for Interactive Data Visualization: Application to Over 10, 000 Brain Imaging and Phantom MRI Data Sets.
Frontiers Neuroinformatics, 2016


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