Ranga Deshpande

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Jeffrey S KatzAuburn UniversityGeverifieerd e-mailadres voor auburn.edu
Thomas S Denney Jr.Professor of Electrical and Computer Engineering, Auburn UniversityGeverifieerd e-mailadres voor auburn.edu
Jamie D. FeusnerProfessor, Department of Psychiatry, University of TorontoGeverifieerd e-mailadres voor utoronto.ca
xiaoping hu; xiao-ping hu; xp hu; x-p h...University of California, RiversideGeverifieerd e-mailadres voor engr.ucr.edu
Robert L. BarryNational Institutes of HealthGeverifieerd e-mailadres voor nih.gov
Thomas A. DanielWestfield State UniversityGeverifieerd e-mailadres voor westfield.ma.edu
Daniele MarinazzoProfessor of Neuroimaging Data Analysis, Ghent University, email daniele.marinazzo@ugent.beGeverifieerd e-mailadres voor ugent.be
Adam GoodmanAssistant Professor, University of Alabama at BirminghamGeverifieerd e-mailadres voor uab.edu
TEENA DOBBS MoodyUCLAGeverifieerd e-mailadres voor g.ucla.edu
Olivia E RoweMGH Martinos Center for Biomedical Imaging, Cognito TherapeuticsGeverifieerd e-mailadres voor mgh.harvard.edu
Archana VenkataramanJohns Hopkins UniversityGeverifieerd e-mailadres voor jhu.edu
Guo-Rong WuFaculty of Psychology, Southwest UniversityGeverifieerd e-mailadres voor swu.edu.cn
Eva RataiMGHGeverifieerd e-mailadres voor nmr.mgh.harvard.edu
Wan-wa WongCentre for Addiction and Mental HealthGeverifieerd e-mailadres voor camh.ca
Lena K. PalaniyappanProfessor of Psychiatry, McGill UniversityGeverifieerd e-mailadres voor mcgill.ca
Peter Francis LiddleUniversity of NottinghamGeverifieerd e-mailadres voor nottingham.ac.uk
Madhura IngalhalikarClarioGeverifieerd e-mailadres voor clario.com
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaGeverifieerd e-mailadres voor cs.uga.edu
Boris KeilInstitute for Medical Physics and Radiation Protection, TH Mittelhessen - Univ. of Applied SciencesGeverifieerd e-mailadres voor lse.thm.de
Jennifer L. RobinsonProfessor, Psychological Sciences, Auburn UniversityGeverifieerd e-mailadres voor auburn.edu

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Ranga Deshpande

Andere namenD Rangaprakash, R Deshpande, Rangaprakash D

Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA

Geverifieerd e-mailadres voor mgh.harvard.edu

Brain imaging Spinal cord MRI Functional MRI Ultra-high field MRI Biomedical signal processing


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Fully connected cascade artificial neural network architecture for attention deficit hyperactivity disorder classification from functional magnetic resonance imaging data G Deshpande, P Wang, D Rangaprakash, B Wilamowski IEEE transactions on cybernetics 45 (12), 2668-2679, 2015	167	2015
Dynamic brain connectivity is a better predictor of PTSD than static connectivity C Jin, H Jia, P Lanka, D Rangaprakash, L Li, T Liu, X Hu, G Deshpande Human Brain Mapping 38 (9), 4479-4496, 2017	114	2017
Hemodynamic response function (HRF) variability confounds resting‐state fMRI functional connectivity D Rangaprakash, GR Wu, D Marinazzo, X Hu, G Deshpande Magnetic resonance in medicine 80 (4), 1697-1713, 2018	113	2018
Compromised hippocampus‐striatum pathway as a potential imaging biomarker of mild‐traumatic brain injury and posttraumatic stress disorder D Rangaprakash, G Deshpande, TA Daniel, AM Goodman, JL Robinson, ... Human brain mapping 38 (6), 2843-2864, 2017	92	2017
Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets P Lanka, D Rangaprakash, MN Dretsch, JS Katz, TS Denney, ... Brain imaging and behavior 14, 2378-2416, 2020	74	2020
Functional connectivity-based prediction of Autism on site harmonized ABIDE dataset M Ingalhalikar, S Shinde, A Karmarkar, A Rajan, D Rangaprakash, ... IEEE Transactions on Biomedical Engineering 68 (12), 3628-3637, 2021	57	2021
Study of wrist pulse signals using time domain spatial features D Rangaprakash, DN Dutt Computers & Electrical Engineering 45, 100-107, 2015	56	2015
Study of phase synchronization in multichannel seizure EEG using nonlinear recurrence measure D Rangaprakash, N Pradhan Biomedical Signal Processing and Control 11, 114-122, 2014	55	2014
Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject level L Palaniyappan, G Deshpande, P Lanka, D Rangaprakash, S Iwabuchi, ... Schizophrenia research 214, 24-33, 2019	54	2019
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	52	2018
Aberrant hemodynamic responses in autism: Implications for resting state fMRI functional connectivity studies W Yan, D Rangaprakash, G Deshpande NeuroImage: Clinical 19, 320-330, 2018	49	2018
Phase synchronization in brain networks derived from correlation between probabilities of recurrences in functional MRI data D Rangaprakash, X Hu, G Deshpande International journal of neural systems 23 (02), 1350003, 2013	49	2013
Hemodynamic variability in soldiers with trauma: Implications for functional MRI connectivity studies D Rangaprakash, MN Dretsch, W Yan, JS Katz, TS Denney Jr, ... NeuroImage: Clinical 16, 409-417, 2017	45	2017
FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment response D Rangaprakash, R Tadayonnejad, G Deshpande, J O’Neill, JD Feusner Brain Imaging and Behavior 15 (3), 1622-1640, 2021	37	2021
Psychosocial stress reactivity is associated with decreased whole-brain network efficiency and increased amygdala centrality. MD Wheelock, D Rangaprakash, NG Harnett, KH Wood, TR Orem, S Mrug, ... Behavioral Neuroscience 132 (6), 561, 2018	35	2018
Dynamics of segregation and integration in directional brain networks: illustration in soldiers with PTSD and neurotrauma D Rangaprakash, MN Dretsch, JS Katz, TS Denney Jr, G Deshpande Frontiers in neuroscience 13, 803, 2019	31	2019
Connectivity analysis of multichannel EEG signals using recurrence based phase synchronization technique D Rangaprakash Computers in Biology and Medicine 46, 11-21, 2014	30	2014
A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition G Deshpande, D Rangaprakash, L Oeding, A Cichocki, XP Hu Frontiers in neuroscience 11, 246, 2017	28	2017
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	25	2017
Hemodynamic response function parameters obtained from resting-state functional MRI data in soldiers with trauma D Rangaprakash, MN Dretsch, W Yan, JS Katz, TS Denney Jr, ... Data in brief 14, 558-562, 2017	23	2017

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