| 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 | 2088 | 2010 |
| 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 | 183 | 2022 |
| 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 | 182 | 2012 |
| 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 | 120 | 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 | 64 | 2011 |
| Gut enterochromaffin cells drive visceral pain and anxiety JR Bayrer, J Castro, A Venkataraman, KK Touhara, ND Rossen, ... Nature 616 (7955), 137-142, 2023 | 61 | 2023 |
| Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder A Venkataraman, DYJ Yang, N Dvornek, LH Staib, JS Duncan, ... Neuroreport 27 (14), 1081-1085, 2016 | 57 | 2016 |
| 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 | 55 | 2018 |
| 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 | 55 | 2009 |
| 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 | 47 | 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 | 40 | 2021 |
| 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 | 39 | 2015 |
| 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 | 31 | 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 | 30 | 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 | 30 | 2019 |
| 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 | 30 | 2016 |
| 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), 650-660, 2021 | 29 | 2021 |
| 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 | 26 | 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 | 26 | 2017 |
| A Multi-Speaker Emotion Morphing Model Using Highway Networks and Maximum Likelihood Objective. R Shankar, J Sager, A Venkataraman INTERSPEECH, 2848-2852, 2019 | 24 | 2019 |
