Ariel Rokem

Orcid: 0000-0003-0679-1985

  • University of Washington, Seattle, WA, USA

According to our database1, Ariel Rokem authored at least 31 papers between 2008 and 2023.

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Non-Stationary Dynamic Mode Decomposition.
IEEE Access, 2023

Automatic Fast and Reliable Recognition of a Small Brain White Matter Bundle.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

Advanced Diffusion MRI Modeling Sheds Light on FLAIR White Matter Hyperintensities in an Aging Cohort.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023

Clinical validation of rapid GPU-enabled DTI tractography of the brain.
Proceedings of the High Performance Computing for Imaging 2023, 2023

Multidimensional analysis and detection of informative features in human brain white matter.
PLoS Comput. Biol., 2021

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
NeuroImage, 2021

Detect-ing brain anomalies with autoencoders.
Nat. Comput. Sci., 2021

Groupyr: Sparse Group Lasso in Python.
J. Open Source Softw., 2021

The benefits of prefetching for large-scale cloud-based neuroimaging analysis workflows.
Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

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., 2020

Fractional ridge regression: a fast, interpretable reparameterization of ridge regression.
CoRR, 2020

Generalized diffusion spectrum magnetic resonance imaging (GDSI) for model-free reconstruction of the ensemble average propagator.
NeuroImage, 2019

diff_classifier: Parallelization of multi-particle tracking video analyses.
J. Open Source Softw., 2019

Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging.
Frontiers Neuroinformatics, 2019

Fitting IVIM with Variable Projection and Simplicial Optimization.
CoRR, 2019

Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Journal of Open Source Software (JOSS): design and first-year review.
PeerJ Comput. Sci., 2018

Forecasting Future Humphrey Visual Fields Using Deep Learning.
CoRR, 2018

Generating retinal flow maps from structural optical coherence tomography with artificial intelligence.
CoRR, 2018

Cloudknot: A Python Library to Run your Existing Code on AWS Batch.
Proceedings of the 17th Python in Science Conference 2018 (SciPy 2018), Austin, Texas, July 9, 2018

Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads.
Proc. VLDB Endow., 2017

Confidence Intervals for Random Forests in Python.
J. Open Source Softw., 2017

Hack Weeks as a model for Data Science Education and Collaboration.
CoRR, 2017

Portable Learning Environments for Hands-On Computational Instruction: Using Container- and Cloud-Based Technology to Teach Data Science.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

pulse2percept: A Python-based simulation framework for bionic vision.
Proceedings of the 16th Python in Science Conference 2017, 2017

popeye: a population receptive field estimation tool.
J. Open Source Softw., 2016

Dipy, a library for the analysis of diffusion MRI data.
Frontiers Neuroinformatics, 2014

Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A Two-Stage Cascade Model of BOLD Responses in Human Visual Cortex.
PLoS Comput. Biol., 2013

The benefits of cholinergic enhancement during perceptual learning are long-lasting.
Frontiers Comput. Neurosci., 2013

Burst firing is a neural code in an insect auditory system.
Frontiers Comput. Neurosci., 2008