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ORCIDAriel Rokem
Person information
- affiliation: University of Washington, Seattle, WA, USA
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2020 – today
- 2021
[d4]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): 3024 (2021)- [j11]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:
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240: 118367 (2021) - [j10]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) - [c6]Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem:
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. WORKS 2021: 42-49 - [i9]Valérie Hayot-Sasson, Tristan Glatard, Ariel Rokem:
The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows. CoRR abs/2108.10496 (2021) - 2020
- [j9]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): 85-99 (2020) - [i8]Ariel Rokem, Kendrick N. Kay:
Fractional ridge regression: a fast, interpretable reparameterization of ridge regression. CoRR abs/2005.03220 (2020)
2010 – 2019
- 2019
- [j8]Anisha Keshavan, Jason D. Yeatman, Ariel Rokem:
Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging. Frontiers Neuroinformatics 13: 29 (2019) - [d3]Chad Curtis, Ariel Rokem, Elizabeth Nance:
diff_classifier: Parallelization of multi-particle tracking video analyses. J. Open Source Softw. 4(36): 989 (2019) - [j7]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: 497-515 (2019) - [c5]Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem:
Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants. MICCAI (5) 2019: 394-402 - [i7]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 abs/1910.00095 (2019) - 2018
- [j6]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: e147 (2018) - [c4]Adam C. Richie-Halford, Ariel Rokem:
Cloudknot: A Python Library to Run your Existing Code on AWS Batch. SciPy 2018: 8-14 - [i6]Cecilia S. Lee, Ariel J. Tyring, Yue Wu, Sa Xiao, Ariel S. Rokem, Nicolaas P. Deruyter, Qinqin Zhang, Adnan Tufail, Ruikang K. Wang, Aaron Y. Lee:
Generating retinal flow maps from structural optical coherence tomography with artificial intelligence. CoRR abs/1802.08925 (2018) - [i5]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 abs/1804.04543 (2018) - 2017
- [d2]Kivan Polimis, Ariel Rokem, Bryna J. Hazelton:
Confidence Intervals for Random Forests in Python. J. Open Source Softw. 2(19): 124 (2017) - [j5]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): 1226-1237 (2017) - [c3]Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem:
pulse2percept: A Python-based simulation framework for bionic vision. SciPy 2017: 81-88 - [c2]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: 32:1-32:9 - [i4]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 abs/1703.04900 (2017) - [i3]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 abs/1707.02264 (2017) - [i2]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 abs/1711.00028 (2017) - 2016
- [d1]Kevin DeSimone, Ariel Rokem, Keith Schneider:
popeye: a population receptive field estimation tool. J. Open Source Softw. 1(8): 103 (2016) - [i1]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 abs/1612.02485 (2016) - 2014
- [j4]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: 8 (2014) - [c1]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: 2699-2707 - 2013
- [j3]Ariel Rokem, Michael A. Silver:
The benefits of cholinergic enhancement during perceptual learning are long-lasting. Frontiers Comput. Neurosci. 7: 66 (2013) - [j2]Kendrick N. Kay, Jonathan Winawer, Ariel Rokem, Aviv A. Mezer, Brian A. Wandell:
A Two-Stage Cascade Model of BOLD Responses in Human Visual Cortex. PLoS Comput. Biol. 9(5) (2013)
2000 – 2009
- 2008
- [j1]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: 3 (2008)
Coauthor Index
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