Anisha Keshavan
Anisha Keshavan
University of Washington
Verified email at - Homepage
Cited by
Cited by
Predicting treatment response in social anxiety disorder from functional magnetic resonance imaging
O Doehrmann, SS Ghosh, FE Polli, GO Reynolds, F Horn, A Keshavan, ...
JAMA psychiatry 70 (1), 87-97, 2013
Mindboggling morphometry of human brains
A Klein, SS Ghosh, FS Bao, J Giard, Y Häme, E Stavsky, N Lee, B Rossa, ...
PLoS computational biology 13 (2), e1005350, 2017
Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium
XZ Kong, SR Mathias, T Guadalupe, DC Glahn, B Franke, F Crivello, ...
Proceedings of the National Academy of Sciences 115 (22), E5154-E5163, 2018
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods
KJ Gorgolewski, F Alfaro-Almagro, T Auer, P Bellec, M Capotă, ...
PLoS computational biology 13 (3), e1005209, 2017
Association between thoracic spinal cord gray matter atrophy and disability in multiple sclerosis
R Schlaeger, N Papinutto, AH Zhu, IV Lobach, CJ Bevan, M Bucci, ...
JAMA neurology 72 (8), 897-904, 2015
Association of HLA genetic risk burden with disease phenotypes in multiple sclerosis
N Isobe, A Keshavan, PA Gourraud, AH Zhu, E Datta, R Schlaeger, ...
JAMA neurology 73 (7), 795-802, 2016
Intra-and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis
V Biberacher, P Schmidt, A Keshavan, CC Boucard, R Righart, P Sämann, ...
Neuroimage 142, 188-197, 2016
Mindcontrol: A web application for brain segmentation quality control
A Keshavan, E Datta, IM McDonough, CR Madan, K Jordan, RG Henry
NeuroImage 170, 365-372, 2018
Power estimation for non-standardized multisite studies
A Keshavan, F Paul, MK Beyer, AH Zhu, N Papinutto, RT Shinohara, ...
NeuroImage 134, 281-294, 2016
A browser-based tool for visualization and analysis of diffusion MRI data
JD Yeatman, A Richie-Halford, JK Smith, A Keshavan, A Rokem
Nature communications 9 (1), 1-10, 2018
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Software, Zenodo, 2018
Combining citizen science and deep learning to amplify expertise in neuroimaging
A Keshavan, JD Yeatman, A Rokem
Frontiers in neuroinformatics 13, 29, 2019
Human aging reduces the neurobehavioral influence of motivation on episodic memory
MR Geddes, AT Mattfeld, C de Los Angeles, A Keshavan, JDE Gabrieli
Neuroimage 171, 296-310, 2018
Cluster confidence index: a streamline‐wise pathway reproducibility metric for diffusion‐weighted MRI tractography
KM Jordan, B Amirbekian, A Keshavan, RG Henry
Journal of Neuroimaging 28 (1), 64-69, 2018
QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI
M Cieslak, PA Cook, X He, FC Yeh, T Dhollander, A Adebimpe, ...
bioRxiv, 2020
A Precision Medicine Tool for Patients With Multiple Sclerosis (the Open MS BioScreen): Human-Centered Design and Development
E Schleimer, J Pearce, A Barnecut, W Rowles, A Lizee, A Klein, VJ Block, ...
Journal of medical Internet research 22 (7), e15605, 2020
Interactive online brain shape visualization
A Keshavan, A Klein, B Cipollini
Research Ideas and Outcomes 3, e12358, 2017
From the wet lab to the web lab: a paradigm shift in brain imaging research
A Keshavan, JB Poline
Frontiers in neuroinformatics 13, 3, 2019
BIPS: a framework for curating and executing brain imaging pipelines
S Ghosh, A Keshavan, J Salvatore, A Klein
Atrophy of spinal cord gray matter is detectable at an early stage of multiple sclerosis (S2. 003)
R Schlaeger, N Papinutto, A Zhu, E Datta, C Bevan, E Caverzasi, ...
Neurology 88 (16 Supplement), 2017
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