Ariel Rokem

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 29

Top Topics

Top Venues

J. Open Source Softw.

Frontiers Neuroinformatics

Publications

John Kruper, Ariel Rokem
Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle. CDMRI@MICCAI (2023)
Kelly Chang, Luke Burke, Nina LaPiana, Bradley Howlett, David Hunt, Margaret Dezelar, Jalal B. Andre, James Ralston, Ariel Rokem, Christine Mac Donald
Advanced Diffusion MRI Modeling Sheds Light on FLAIR White Matter Hyperintensities in an Aging Cohort. CDMRI@MICCAI (2023)
John Ferré, Ariel Rokem, Elizabeth A. Buffalo, J. Nathan Kutz, Adrienne Fairhall
Non-Stationary Dynamic Mode Decomposition. IEEE Access 11 (2023)
Felix Liu, Vanitha Sankaranarayanan, Javier E. Villanueva-Meyer, Shawn Hervey-Jumper, James Hawkins, Pablo F. Damasceno, Mauro Bisson, Joshua Romero, Thorsten Kurth, Massimiliano Fatica, Eleftherios Garyfallidis, Ariel Rokem, Jason C. Crane, Sharmila Majumdar
Clinical validation of rapid GPU-enabled DTI tractography of the brain. High Performance Computing for Imaging (2023)
Adam C. Richie-Halford, Manjari Narayan, Noah Simon, Jason D. Yeatman, Ariel Rokem
Groupyr: Sparse Group Lasso in Python. J. Open Source Softw. 6 (58) (2021)
Ariel Rokem
Detect-ing brain anomalies with autoencoders. Nat. Comput. Sci. 1 (9) (2021)
Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. WORKS (2021)
Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240 (2021)
Adam C. Richie-Halford, Jason D. Yeatman, Noah Simon, Ariel Rokem
Multidimensional analysis and detection of informative features in human brain white matter. PLoS Comput. Biol. 17 (6) (2021)
Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. CoRR (2021)
Ariel Rokem, Kendrick N. Kay
Fractional ridge regression: a fast, interpretable reparameterization of ridge regression. CoRR (2020)
David W. Bressler, Ariel Rokem, Michael A. Silver
Slow Endogenous Fluctuations in Cortical fMRI Signals Correlate with Reduced Performance in a Visual Detection Task and Are Suppressed by Spatial Attention. J. Cogn. Neurosci. 32 (1) (2020)
Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem
Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants. MICCAI (5) (2019)
Chad Curtis, Ariel Rokem, Elizabeth Nance
diff_classifier: Parallelization of multi-particle tracking video analyses. J. Open Source Softw. 4 (36) (2019)
Anisha Keshavan, Jason D. Yeatman, Ariel Rokem
Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging. Frontiers Neuroinformatics 13 (2019)
Shreyas Fadnavis, Hamza Farooq, Maryam Afzali, Christophe Lenglet, Tryphon T. Georgiou, Hu Cheng, Sharlene D. Newman, Shahnawaz Ahmed, Rafael Neto Henriques, Eric Peterson, Serge Koudoro, Ariel Rokem, Eleftherios Garyfallidis
Fitting IVIM with Variable Projection and Simplicial Optimization. CoRR (2019)
Qiyuan Tian, Grant Yang, Christoph Leuze, Ariel Rokem, Brian L. Edlow, Jennifer A. McNab
Generalized diffusion spectrum magnetic resonance imaging (GDSI) for model-free reconstruction of the ensemble average propagator. NeuroImage 189 (2019)
Adam C. Richie-Halford, Ariel Rokem
Cloudknot: A Python Library to Run your Existing Code on AWS Batch. SciPy (2018)
Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin M. Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob VanderPlas
Journal of Open Source Software (JOSS): design and first-year review. PeerJ Comput. Sci. 4 (2018)
Joanne C. Wen, Cecilia S. Lee, Pearse A. Keane, Sa Xiao, Yue Wu, Ariel Rokem, Philip P. Chen, Aaron Y. Lee
Forecasting Future Humphrey Visual Fields Using Deep Learning. CoRR (2018)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. Proc. VLDB Endow. 10 (11) (2017)
Chris Holdgraf, Aaron Culich, Ariel Rokem, Fatma Deniz, Maryana Alegro, Daniela Ushizima
Portable learning environments for hands-on computational instruction: Using container- and cloud-based technology to teach data science. CoRR (2017)
Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem
pulse2percept: A Python-based simulation framework for bionic vision. SciPy (2017)
Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin Mattheus Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob VanderPlas
Journal of Open Source Software (JOSS): design and first-year review. CoRR (2017)
Chris Holdgraf, Aaron Culich, Ariel Rokem, Fatma Deniz, Maryana Alegro, Daniela Ushizima
Portable Learning Environments for Hands-On Computational Instruction: Using Container- and Cloud-Based Technology to Teach Data Science. PEARC (2017)
Kivan Polimis, Ariel Rokem, Bryna J. Hazelton
Confidence Intervals for Random Forests in Python. J. Open Source Softw. 2 (19) (2017)
Daniela Huppenkothen, Anthony Arendt, David W. Hogg, Karthik Ram, Jake VanderPlas, Ariel Rokem
Hack Weeks as a model for Data Science Education and Collaboration. CoRR (2017)
Kevin DeSimone, Ariel Rokem, Keith Schneider
popeye: a population receptive field estimation tool. J. Open Source Softw. 1 (8) (2016)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. CoRR (2016)
Charles Y. Zheng, Franco Pestilli, Ariel Rokem
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain. NIPS (2014)
Eleftherios Garyfallidis, Matthew Brett, Bagrat Amirbekian, Ariel Rokem, Stéfan van der Walt, Maxime Descoteaux, Ian Nimmo-Smith
Dipy, a library for the analysis of diffusion MRI data. Frontiers Neuroinformatics 8 (2014)
Ariel Rokem, Michael A. Silver
The benefits of cholinergic enhancement during perceptual learning are long-lasting. Frontiers Comput. Neurosci. 7 (2013)
Kendrick N. Kay, Jonathan Winawer, Ariel Rokem, Aviv Mezer, Brian A. Wandell
A Two-Stage Cascade Model of BOLD Responses in Human Visual Cortex. PLoS Comput. Biol. 9 (5) (2013)
Hugo Gabriel Eyherabide, Ariel Rokem, Andreas V. M. Herz, Inés Samengo
Burst firing is a neural code in an insect auditory system. Frontiers Comput. Neurosci. 2 (2008)