Ariel Rokem

38 papers Journal 29Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A software ecosystem for brain tractometry processing, analysis, and insight.
PLoS Comput. Biol.
John Kruper, Adam C. Richie-Halford, Joanna Qiao, Asa Gilmore, Kelly Chang, Mareike Grotheer, Ethan Roy, Sendy Caffarra, Teresa Gómez, Sam Chou, Matthew Cieslak, Serge Koudoro, Eleftherios Garyfallidis, Theodore D. Satterthwaite, Jason D. Yeatman, Ariel Rokem
2025 J jnl
Open-source models for development of data and metadata standards.
Patterns
Ariel Rokem, Vani Mandava, Nicoleta Cristea, Anshul Tambay, Kristofer E. Bouchard, Carolina Berys-Gonzalez, Andy Connolly
2024 J jnl
Hands-On Neuroinformatics Education at the Crossroads of Online and In-Person: Lessons Learned from NeuroHackademy.
Neuroinformatics
Ariel Rokem, Noah C. Benson
2024 J jnl
Ten simple rules for scientific code review.
PLoS Comput. Biol.
Ariel Rokem
2023 — conf
Advanced Diffusion MRI Modeling Sheds Light on FLAIR White Matter Hyperintensities in an Aging Cohort.
CDMRI@MICCAI
Kelly Chang, Luke Burke, Nina LaPiana, Bradley H. Howlett, David Hunt, Margaret Dezelar, Jalal B. Andre, James Ralston, Ariel Rokem, Christine Mac Donald
2023 — conf
Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle.
CDMRI@MICCAI
John Kruper, Ariel Rokem
2023 — conf
Clinical validation of rapid GPU-enabled DTI tractography of the brain.
High Performance Computing for Imaging
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
2023 J jnl
Non-Stationary Dynamic Mode Decomposition.
IEEE Access
John Ferré, Ariel Rokem, Elizabeth A. Buffalo, J. Nathan Kutz, Adrienne Fairhall
2021 J jnl
Detect-ing brain anomalies with autoencoders.
Nat. Comput. Sci.
Ariel Rokem
2021 J jnl
Groupyr: Sparse Group Lasso in Python.
J. Open Source Softw.
Adam C. Richie-Halford, Manjari Narayan, Noah Simon, Jason D. Yeatman, Ariel Rokem
2021 J jnl
Multidimensional analysis and detection of informative features in human brain white matter.
PLoS Comput. Biol.
Adam C. Richie-Halford, Jason D. Yeatman, Noah Simon, Ariel Rokem
2021 J jnl
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
NeuroImage
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 C. Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling
2021 — conf
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows.
WORKS
Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem
2021 J jnl
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows.
CoRR
Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem
2020 J jnl
Fractional ridge regression: a fast, interpretable reparameterization of ridge regression.
CoRR
Ariel Rokem, Kendrick N. Kay
2020 J jnl
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.
David W. Bressler, Ariel Rokem, Michael A. Silver
2019 J jnl
Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging.
Frontiers Neuroinformatics
Anisha Keshavan, Jason D. Yeatman, Ariel Rokem
2019 J jnl
Fitting IVIM with Variable Projection and Simplicial Optimization.
CoRR
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
2019 J jnl
Generalized diffusion spectrum magnetic resonance imaging (GDSI) for model-free reconstruction of the ensemble average propagator.
NeuroImage
Qiyuan Tian, Grant Yang, Christoph Leuze, Ariel Rokem, Brian L. Edlow, Jennifer A. McNab
2019 — conf
Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants.
MICCAI (5)
Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem
2019 J jnl
diff_classifier: Parallelization of multi-particle tracking video analyses.
J. Open Source Softw.
Chad Curtis, Ariel Rokem, Elizabeth Nance
2018 — conf
Cloudknot: A Python Library to Run your Existing Code on AWS Batch.
SciPy
Adam C. Richie-Halford, Ariel Rokem
2018 J jnl
Forecasting Future Humphrey Visual Fields Using Deep Learning.
CoRR
Joanne C. Wen, Cecilia S. Lee, Pearse A. Keane, Sa Xiao, Yue Wu, Ariel Rokem, Philip P. Chen, Aaron Y. Lee
2018 J jnl
Journal of Open Source Software (JOSS): design and first-year review.
PeerJ Comput. Sci.
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
2017 J jnl
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads.
Proc. VLDB Endow.
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
2017 J jnl
Confidence Intervals for Random Forests in Python.
J. Open Source Softw.
Kivan Polimis, Ariel Rokem, Bryna J. Hazelton
2017 J jnl
Hack Weeks as a model for Data Science Education and Collaboration.
CoRR
Daniela Huppenkothen, Anthony Arendt, David W. Hogg, Karthik Ram, Jake VanderPlas, Ariel Rokem
2017 J jnl
Journal of Open Source Software (JOSS): design and first-year review.
CoRR
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
2017 — conf
Portable Learning Environments for Hands-On Computational Instruction: Using Container- and Cloud-Based Technology to Teach Data Science.
PEARC
Chris Holdgraf, Aaron Culich, Ariel Rokem, Fatma Deniz, Maryana Alegro, Daniela Ushizima
2017 J jnl
Portable learning environments for hands-on computational instruction: Using container- and cloud-based technology to teach data science.
CoRR
Chris Holdgraf, Aaron Culich, Ariel Rokem, Fatma Deniz, Maryana Alegro, Daniela Ushizima
2017 — conf
pulse2percept: A Python-based simulation framework for bionic vision.
SciPy
Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem
2016 J jnl
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads.
CoRR
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
2016 J jnl
popeye: a population receptive field estimation tool.
J. Open Source Softw.
Kevin DeSimone, Ariel Rokem, Keith Schneider
2014 — conf
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain.
NIPS
Charles Y. Zheng, Franco Pestilli, Ariel Rokem
2014 J jnl
Dipy, a library for the analysis of diffusion MRI data.
Frontiers Neuroinformatics
Eleftherios Garyfallidis, Matthew Brett, Bagrat Amirbekian, Ariel Rokem, Stéfan van der Walt, Maxime Descoteaux, Ian Nimmo-Smith
2013 J jnl
A Two-Stage Cascade Model of BOLD Responses in Human Visual Cortex.
PLoS Comput. Biol.
Kendrick N. Kay, Jonathan Winawer, Ariel Rokem, Aviv A. Mezer, Brian A. Wandell
2013 J jnl
The benefits of cholinergic enhancement during perceptual learning are long-lasting.
Frontiers Comput. Neurosci.
Ariel Rokem, Michael A. Silver
2008 J jnl
Burst firing is a neural code in an insect auditory system.
Frontiers Comput. Neurosci.
Hugo Gabriel Eyherabide, Ariel Rokem, Andreas V. M. Herz, Inés Samengo