Anisha Keshavan
Anisha Keshavan
University of Washington
Email verificata su - Home page
Citata da
Citata da
Mindboggling morphometry of human brains
A Klein, SS Ghosh, FS Bao, J Giard, Y Hme, E Stavsky, N Lee, B Rossa, ...
PLoS computational biology 13 (2), e1005350, 2017
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
Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium
XZ Kong, SR Mathias, T Guadalupe, ENIGMA Laterality Working Group, ...
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
Intra-and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis
V Biberacher, P Schmidt, A Keshavan, CC Boucard, R Righart, P Smann, ...
Neuroimage 142, 188-197, 2016
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
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Software, 2018
QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data
M Cieslak, PA Cook, X He, FC Yeh, T Dhollander, A Adebimpe, ...
Nature methods 18 (7), 775-778, 2021
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
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
Combining citizen science and deep learning to amplify expertise in neuroimaging
A Keshavan, JD Yeatman, A Rokem
Frontiers in neuroinformatics 13, 29, 2019
Power estimation for non-standardized multisite studies
A Keshavan, F Paul, MK Beyer, AH Zhu, N Papinutto, RT Shinohara, ...
NeuroImage 134, 281-294, 2016
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
Spinal cord atrophy predicts progressive disease in relapsing multiple sclerosis
A Bischof, N Papinutto, A Keshavan, A Rajesh, G Kirkish, X Zhang, ...
Annals of Neurology 91 (2), 268-281, 2022
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ...
Neuron 109 (11), 1769-1775, 2021
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
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
Interactive online brain shape visualization
A Keshavan, A Klein, B Cipollini
bioRxiv, 067678, 2016
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–20