Anisha Keshavan

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 8

Top Topics

Quality Control

Magnetic Resonance Imaging

Top Venues

Frontiers Neuroinformatics

PLoS Comput. Biol.

Publications

Anisha Keshavan, Jason D. Yeatman, Ariel Rokem
Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging. Frontiers Neuroinformatics 13 (2019)
Anisha Keshavan, Jean-Baptiste Poline
From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research. Frontiers Neuroinformatics 13 (2019)
Maiya R. Geddes, Aaron T. Mattfeld, Carlo de los Angeles, Anisha Keshavan, John D. E. Gabrieli
Human aging reduces the neurobehavioral influence of motivation on episodic memory. NeuroImage 171 (2018)
Anisha Keshavan, Esha Datta, Ian M. McDonough, Christopher R. Madan, Kesshi Jordan, Roland G. Henry
Mindcontrol: A web application for brain segmentation quality control. NeuroImage 170 (2018)
Arno Klein, Satrajit S. Ghosh, Forrest Sheng Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Noah Lee, Brian Rossa, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan
Mindboggling morphometry of human brains. PLoS Comput. Biol. 13 (2) (2017)
Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Comput. Biol. 13 (3) (2017)
Viola Biberacher, Paul Schmidt, Anisha Keshavan, Christine C. Boucard, Ruthger Righart, Philipp G. Sämann, Christine Preibisch, Daniel Fröbel, Lilian Aly, Bernhard Hemmer, Claus Zimmer, Roland G. Henry, Mark Mühlau
Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis. NeuroImage 142 (2016)
Anisha Keshavan, Friedemann Paul, Mona K. Beyer, Alyssa H. Zhu, Nico Papinutto, Russell T. Shinohara, William Stern, Michael Amann, Rohit Bakshi, Antje Bischof, Alessandro Carriero, Manuel Comabella, Jason C. Crane, Sandra D'Alfonso, Philippe Demaerel, Benedicte Dubois, Massimo Filippi, Vinzenz Fleischer, Bertrand Fontaine, Laura Gaetano, An Goris, Christiane Graetz, Adriane Gröger, Sergiu Groppa, David A. Hafler, Hanne F. Harbo, Bernhard Hemmer, Kesshi Jordan, Ludwig Kappos, Gina Kirkish, Sara Llufriu, Stefano Magon, Filippo Martinelli-Boneschi, Jacob L. McCauley, Xavier Montalban, Mark Mühlau, Daniel Pelletier, Pradip M. Pattany, Margaret A. Pericak-Vance, Isabelle Cournu-Rebeix, Maria Assunta Rocca, Alex Rovira, Regina Schlaeger, Albert Saiz, Till Sprenger, Alessandro Stecco, Bernard M. J. Uitdehaag, Pablo Villoslada, Mike P. Wattjes, Howard L. Weiner, Jens Wuerfel, Claus Zimmer, Frauke Zipp, Stephen L. Hauser, Jorge R. Oksenberg, Roland G. Henry
Power estimation for non-standardized multisite studies. NeuroImage 134 (2016)
Satrajit S. Ghosh, Anisha Keshavan, Georg Langs
Predicting Treatment Response from Resting State fMRI Data: Comparison of Parcellation Approaches. PRNI (2013)