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Anisha Keshavan
Anisha Keshavan
University of Washington
Verified email at ucsf.edu - Homepage
Title
Cited by
Cited by
Year
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
5382017
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
3232018
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
2772017
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
2652013
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
1322021
Nipype
KJ Gorgolewski, O Esteban, CJ Markiewicz, E Ziegler, DG Ellis, MP Notter, ...
Software, 2018
1162018
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
1072015
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
982016
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
942016
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), 940, 2018
632018
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
622018
Combining citizen science and deep learning to amplify expertise in neuroimaging
A Keshavan, JD Yeatman, A Rokem
Frontiers in neuroinformatics 13, 29, 2019
572019
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
462022
Power estimation for non-standardized multisite studies
A Keshavan, F Paul, MK Beyer, AH Zhu, N Papinutto, RT Shinohara, ...
NeuroImage 134, 281-294, 2016
432016
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
342021
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
322018
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
262020
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
222018
Remote digital psychiatry for mobile mental health assessment and therapy: MindLogger platform development study
A Klein, J Clucas, A Krishnakumar, SS Ghosh, W Van Auken, B Thonet, ...
Journal of medical Internet research 23 (11), e22369, 2021
182021
QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI
M Cieslak, PA Cook, X He, FC Yeh, T Dhollander, A Adebimpe, ...
Biorxiv, 2020.09. 04.282269, 2020
182020
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