activity
20142023
most citedEvaluating the accuracy of diffusion MRI models in white matter

101 citations · 263 across the 9 of their papers we have counts for

collaborators

9 papers

q-bio.OT2023★ 60 cited

The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff +111

The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities. This paper is mean…

cs.DC2023★ 75 cited

brainlife.io: A decentralized and open source cloud platform to support neuroscience research

Soichi Hayashi, Bradley A. Caron, Anibal Sólon Heinsfeld +61

Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the comple…

stat.ME2022★ 12 cited

sparsegl: An R Package for Estimating Sparse Group Lasso

Xiaoxuan Liang, Aaron Cohen, Anibal Solón Heinsfeld +2

The sparse group lasso is a high-dimensional regression technique that is useful for problems whose predictors have a naturally grouped structure and where sparsity is encouraged a…

physics.soc-ph2021

The spread of COVID-19 increases with individual mobility and depends on political leaning

Christopher Parker, Jorge M. Mejia, Franco Pestilli

The implementation of social distancing policies is key to reducing the impact of the current COVID-19 pandemic. However, their effectiveness ultimately depends on human behavior.…

eess.IV2019★ 4 cited

Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation

Giulia Bertò, Paolo Avesani, Franco Pestilli +3

Segmenting white matter bundles from human tractograms is a task of interest for several applications. Current methods for bundle segmentation consider either only prior knowledge…

q-bio.QM2015★ 7 cited

Sparse multiway decomposition for analysis and modeling of diffusion imaging and tractography

Cesar F. Caiafa, Franco Pestilli

The number of neuroimaging data sets publicly available is growing at fast rate. The increase in availability and resolution of neuroimaging data requires modern approaches to sign…

stat.ML2014

Quantifying error in estimates of human brain fiber directions using Earth Mover's Distance

Charles Zheng, Franco Pestilli, Ariel Rokem

Diffusion-weighted MR imaging (DWI) is the only method we currently have to measure connections between different parts of the human brain in vivo. To elucidate the structure of th…

q-bio.QM2014★ 101 cited

Evaluating the accuracy of diffusion MRI models in white matter

Ariel Rokem, Jason D. Yeatman, Franco Pestilli +4

Models of diffusion MRI within a voxel are useful for making inferences about the properties of the tissue and inferring fiber orientation distribution used by tractography algorit…

stat.ML2014★ 4 cited

Deconvolution of High-Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain

Charles Zheng, Franco Pestilli, Ariel Rokem

Diffusion-weighted magnetic resonance imaging (DWI) and fiber tractography are the only methods to measure the structure of the white matter in the living human brain. The diffusio…