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Vivek Prabhakaran
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Journal Articles
- 2023
- [j19]Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin
, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. NeuroImage 277: 120231 (2023) - [j18]Moo K. Chung, Camille Garcia-Ramos, Felipe Branco De Paiva
Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance. NeuroImage 284: 120436 (2023) - 2022
- [j17]Chiara Maffei
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [j16]Vahab Youssofzadeh
Late dominance of the right hemisphere during narrative comprehension. NeuroImage 264: 119749 (2022) - 2021
- [j15]Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243: 118502 (2021) - 2020
- [j14]Mohsen Mazrooyisebdani, Veena A. Nair
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. 10(1): 39-50 (2020) - 2019
- [j13]Cole J. Cook, Gyujoon Hwang
Effective Connectivity Within the Default Mode Network in Left Temporal Lobe Epilepsy: Findings from the Epilepsy Connectome Project. Brain Connect. 9(2): 174-183 (2019) - [j12]Gyujoon Hwang
Using Low-Frequency Oscillations to Detect Temporal Lobe Epilepsy with Machine Learning. Brain Connect. 9(2): 184-193 (2019) - [j11]Rosaleena Mohanty
Identification of Subclinical Language Deficit Using Machine Learning Classification Based on Poststroke Functional Connectivity Derived from Low Frequency Oscillations. Brain Connect. 9(2): 194-208 (2019) - 2016
- [j10]Christian La
Implication of the Slow-5 Oscillations in the Disruption of the Default-Mode Network in Healthy Aging and Stroke. Brain Connect. 6(6): 482-495 (2016) - 2015
- [j9]Jie Song, Veena A. Nair
Disrupted Brain Functional Organization in Epilepsy Revealed by Graph Theory Analysis. Brain Connect. 5(5): 276-283 (2015) - 2014
- [j8]Rasmus M. Birn, Maria Daniela Cornejo, Erin K. Molloy
The Influence of Physiological Noise Correction on Test-Retest Reliability of Resting-State Functional Connectivity. Brain Connect. 4(7): 511-522 (2014) - [j7]Jie Song, Rasmus M. Birn, Mélanie Boly, Timothy B. Meier, Veena A. Nair
Age-Related Reorganizational Changes in Modularity and Functional Connectivity of Human Brain Networks. Brain Connect. 4(9): 662-676 (2014) - 2013
- [j6]Svyatoslav Vergun, Alok Deshpande, Timothy B. Meier, Jie Song, Dana Tudorascu, Veena A. Nair
Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data. Frontiers Comput. Neurosci. 7: 38 (2013) - [j5]Rémi Patriat
The effect of resting condition on resting-state fMRI reliability and consistency: A comparison between resting with eyes open, closed, and fixated. NeuroImage 78: 463-473 (2013) - [j4]Rasmus M. Birn, Erin K. Molloy
The effect of scan length on the reliability of resting-state fMRI connectivity estimates. NeuroImage 83: 550-558 (2013) - 2012
- [j3]Timothy B. Meier, Alok S. Desphande, Svyatoslav Vergun, Veena A. Nair
Support vector machine classification and characterization of age-related reorganization of functional brain networks. NeuroImage 60(1): 601-613 (2012) - 2006
- [j2]Bart Rypma, Jeffrey S. Berger, Vivek Prabhakaran
Neural correlates of cognitive efficiency. NeuroImage 33(3): 969-979 (2006) - 2001
- [j1]Kalina Christoff, Vivek Prabhakaran
Rostrolateral Prefrontal Cortex Involvement in Relational Integration during Reasoning. NeuroImage 14(5): 1136-1149 (2001)
Conference and Workshop Papers
- 2022
- [c5]Anita Sinha, Ronak Mehta, Veena A. Nair, Rasmus M. Birn, Vikas Singh, Vivek Prabhakaran:
Investigating Functional Brain Network Abnormalities via Differential Covariance Trajectory Analysis and Scan Statistics. ISBI 2022: 1-4 - 2020
- [c4]Arman P. Kulkarni, Moo K. Chung, Barbara B. Bendlin, Vivek Prabhakaran:
Investigating Heritability Across Resting State Brain Networks Via Heat Kernel Smoothing on Persistence Diagrams. ISBI Workshops 2020: 1-4 - [c3]Maribel Torres-Velázquez
Multi-Channel Deep Neural Network For Temporal Lobe Epilepsy Classification Using Multimodal Mri Data. ISBI Workshops 2020: 1-4 - 2019
- [c2]Haoliang Sun
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. ICCV 2019: 10610-10619 - 2017
- [c1]Rosaleena Mohanty
Machine Learning-Based Prediction of Changes in Behavioral Outcomes Using Functional Connectivity and Clinical Measures in Brain-Computer Interface Stroke Rehabilitation. HCI (14) 2017: 543-557
Informal and Other Publications
- 2024
- [i2]Liang Shang, Zhengyang Lou, Andrew L. Alexander, Vivek Prabhakaran, William A. Sethares, Veena A. Nair, Nagesh Adluru:
Segmenting Small Stroke Lesions with Novel Labeling Strategies. CoRR abs/2408.02929 (2024) - 2019
- [i1]Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh:
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. CoRR abs/1908.08074 (2019)
Coauthor Index
aka: Mary Elizabeth Meyerand
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