Archana Venkataraman
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Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization
KRA Van Dijk, T Hedden, A Venkataraman, KC Evans, SW Lazar, ...
Journal of neurophysiology 103 (1), 297-321, 2010
Whole brain resting state functional connectivity abnormalities in schizophrenia
A Venkataraman, TJ Whitford, CF Westin, P Golland, M Kubicki
Schizophrenia research 139 (1-3), 7-12, 2012
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
Brain responses to biological motion predict treatment outcome in young children with autism
D Yang, KA Pelphrey, DG Sukhodolsky, MJ Crowley, E Dayan, ...
Translational psychiatry 6 (11), e948-e948, 2016
Joint modeling of anatomical and functional connectivity for population studies
A Venkataraman, Y Rathi, M Kubicki, CF Westin, P Golland
IEEE transactions on medical imaging 31 (2), 164-182, 2011
Exploring functional connectivity in fMRI via clustering
A Venkataraman, KRA Van Dijk, RL Buckner, P Golland
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
Identifying disease foci from static and dynamic effective connectivity networks: illustration in soldiers with trauma
D Rangaprakash, MN Dretsch, A Venkataraman, JS Katz, TS Denney Jr, ...
Human brain mapping 39 (1), 264-287, 2018
Pivotal response treatment prompts a functional rewiring of the brain amongst individuals with autism spectrum disorder
A Venkataraman, DYJ Yang, N Dvornek, LH Staib, JS Duncan, ...
Neuroreport 27 (14), 1081, 2016
An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism
A Venkataraman, JS Duncan, DYJ Yang, KA Pelphrey
NeuroImage: Clinical 8, 356-366, 2015
M-gcn: A multimodal graph convolutional network to integrate functional and structural connectomics data to predict multidimensional phenotypic characterizations
NS Dsouza, MB Nebel, D Crocetti, J Robinson, S Mostofsky, ...
Medical Imaging with Deep Learning, 119-130, 2021
Automated inter-patient seizure detection using multichannel Convolutional and Recurrent Neural Networks
J Craley, E Johnson, C Jouny, A Venkataraman
Biomedical Signal Processing and Control 64, 102360, 2021
Bayesian community detection in the space of group-level functional differences
A Venkataraman, DYJ Yang, KA Pelphrey, JS Duncan
IEEE transactions on medical imaging 35 (8), 1866-1882, 2016
Robust feature selection in resting-state fMRI connectivity based on population studies
A Venkataraman, M Kubicki, CF Westin, P Golland
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Vesus: A crowd-annotated database to study emotion production and perception in spoken english.
J Sager, R Shankar, J Reinhold, A Venkataraman
Interspeech, 316-320, 2019
Integrating convolutional neural networks and probabilistic graphical modeling for epileptic seizure detection in multichannel EEG
J Craley, E Johnson, A Venkataraman
Information Processing in Medical Imaging: 26th International Conference …, 2019
Gut enterochromaffin cells drive visceral pain and anxiety
JR Bayrer, J Castro, A Venkataraman, KK Touhara, ND Rossen, ...
Nature 616 (7955), 137-142, 2023
Determining thresholds for three indices of autoregulation to identify the lower limit of autoregulation during cardiac surgery
X Liu, K Akiyoshi, M Nakano, K Brady, B Bush, R Nadkarni, ...
Critical care medicine 49 (4), 650, 2021
Investigating focal connectivity deficits in Alzheimer's disease using directional brain networks derived from resting-state fMRI
S Zhao, D Rangaprakash, A Venkataraman, P Liang, G Deshpande
Frontiers in aging neuroscience 9, 211, 2017
From connectivity models to region labels: identifying foci of a neurological disorder
A Venkataraman, M Kubicki, P Golland
IEEE transactions on medical imaging 32 (11), 2078-2098, 2013
Neuropsychiatric disease classification using functional connectomics-results of the connectomics in neuroimaging transfer learning challenge
MD Schirmer, A Venkataraman, I Rekik, M Kim, SH Mostofsky, MB Nebel, ...
Medical image analysis 70, 101972, 2021
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