Vivek Prabhakaran
Orcid: 0000-0002-1974-3125
According to our database1,
Vivek Prabhakaran
authored at least 24 papers
between 2001 and 2023.
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Bibliography
2023
Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance.
NeuroImage, December, 2023
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.
NeuroImage, August, 2023
2022
NeuroImage, 2022
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.
NeuroImage, 2022
Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
NeuroImage, 2021
2020
Graph Theory Analysis of Functional Connectivity Combined with Machine Learning Approaches Demonstrates Widespread Network Differences and Predicts Clinical Variables in Temporal Lobe Epilepsy.
Brain Connect., 2020
Multi-Channel Deep Neural Network For Temporal Lobe Epilepsy Classification Using Multimodal Mri Data.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
Investigating Heritability Across Resting State Brain Networks Via Heat Kernel Smoothing on Persistence Diagrams.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
2019
Identification of Subclinical Language Deficit Using Machine Learning Classification Based on Poststroke Functional Connectivity Derived from Low Frequency Oscillations.
Brain Connect., 2019
Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning.
Brain Connect., 2019
Effective Connectivity Within the Default Mode Network in Left Temporal Lobe Epilepsy: Findings from the Epilepsy Connectome Project.
Brain Connect., 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2017
Machine Learning-Based Prediction of Changes in Behavioral Outcomes Using Functional Connectivity and Clinical Measures in Brain-Computer Interface Stroke Rehabilitation.
Proceedings of the Augmented Cognition. Neurocognition and Machine Learning, 2017
2016
Implication of the Slow-5 Oscillations in the Disruption of the Default-Mode Network in Healthy Aging and Stroke.
Brain Connect., 2016
2015
Disrupted Brain Functional Organization in Epilepsy Revealed by Graph Theory Analysis.
Brain Connect., 2015
2014
Age-Related Reorganizational Changes in Modularity and Functional Connectivity of Human Brain Networks.
Brain Connect., 2014
The Influence of Physiological Noise Correction on Test-Retest Reliability of Resting-State Functional Connectivity.
Brain Connect., 2014
2013
The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated.
NeuroImage, 2013
The effect of scan length on the reliability of resting-state fMRI connectivity estimates.
NeuroImage, 2013
Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data.
Frontiers Comput. Neurosci., 2013
2012
Support vector machine classification and characterization of age-related reorganization of functional brain networks.
NeuroImage, 2012
2006
2001
Rostrolateral Prefrontal Cortex Involvement in Relational Integration during Reasoning.
NeuroImage, 2001