Anisha Keshavan

According to our database, Anisha Keshavan authored at least 9 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging.

Anisha Keshavan, Jason D. Yeatman, Ariel Rokem

Frontiers Neuroinformatics, 2019

From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research.

Anisha Keshavan, Jean-Baptiste Poline

Frontiers Neuroinformatics, 2019

2018

Mindcontrol: A web application for brain segmentation quality control.

Anisha Keshavan, Esha Datta, Ian M. McDonough, Christopher R. Madan, Kesshi Jordan, Roland G. Henry

NeuroImage, 2018

Human aging reduces the neurobehavioral influence of motivation on episodic memory.

Maiya R. Geddes, Aaron T. Mattfeld, Carlo de los Angeles, Anisha Keshavan, John D. E. Gabrieli

NeuroImage, 2018

2017

Mindboggling morphometry of human brains.

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

PLoS Comput. Biol., 2017

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.

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

PLoS Comput. Biol., 2017

2016

Power estimation for non-standardized multisite studies.

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

NeuroImage, 2016

Intra- and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis.

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

NeuroImage, 2016

2013

Predicting Treatment Response from Resting State fMRI Data: Comparison of Parcellation Approaches.

Satrajit S. Ghosh, Anisha Keshavan, Georg Langs

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013