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Publication search results
found 9 matches
- 2019
- Anisha Keshavan, Jean-Baptiste Poline:
From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research. Frontiers Neuroinformatics 13: 3 (2019) - Anisha Keshavan, Jason D. Yeatman
, Ariel Rokem:
Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging. Frontiers Neuroinformatics 13: 29 (2019) - 2018
- 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: 296-310 (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: 365-372 (2018) - 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) - 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) - 2016
- 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: 188-197 (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: 281-294 (2016) - 2013
- Satrajit S. Ghosh
, Anisha Keshavan
, Georg Langs
:
Predicting Treatment Response from Resting State fMRI Data: Comparison of Parcellation Approaches. PRNI 2013: 225-228
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