BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs

Keywords

Computer science, Speedup, Software, Normalization (sociology), CUDA

References

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• cudaBayesreg: Parallel Implementation of a Bayesian Multilevel Model for fMRI Data AnalysisAdelino R. Ferreira da Silva — 2011
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Cited by

• Going beyond the current neuroinformatics infrastructureXi Cheng, Daniel S. Marcus, John D. Van Horn — 2015
• Parallel workflow tools to facilitate human brain MRI post-processingZaixu Cui, Chenxi Zhao, Gaolang Gong — 2015
• Empirically investigating the statistical validity of SPM, FSL and AFNI for single subject fMRI analysisAnders Eklund, Thomas E. Nichols, Mats Andersson — 2015
• mpdcm: A toolbox for massively parallel dynamic causal modeling.Eduardo A. Aponte, Sudhir Raman, Biswa Sengupta — 2016
• Genetic algorithm supported by graphical processing unit improves the exploration of effective connectivity in functional brain imagingLawrence Chan, Bin Pang, Chi‐Ren Shyu — 2015
• fMRI image registration with AFNI's 3dQwarpJunqi Yin, R. Glenn Brook, Lonnie D. Crosby — 2015
• GPU-accelerated dynamic functional connectivity analysis for functional MRI data using OpenCLDevrim Akgün, Ünal Sakoğlu, Mutlu Mete — 2014
• Porting a neuro-imaging application to a CPU-GPU clusterReza Nakhjavani, Sahel Sharify, Ali Hashemi — 2014
• Connectomics and new approaches for analyzing human brain functional connectivityR. Cameron Craddock, Rosalia Tungaraza, Michael P. Milham — 2015
• GPU accelerated dynamic functional connectivity analysis for functional MRI dataDevrim Akgün, Ünal Sakoğlu, Johnny Esquivel — 2015
• Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive ratesAnders Eklund, Thomas E. Nichols, Hans Knutsson — 2015
• A Study of Scheduling a Neuro-imaging Application On a Heterogeneous CPU-GPU ClusterReza Nakhjavani — 2015
• Big Data Approaches for the Analysis of Large-Scale fMRI Data Using Apache Spark and GPU Processing: A Demonstration on Resting-State fMRI Data from the Human Connectome ProjectRoland N. Boubela, Klaudius Kalcher, Wolfgang Huf — 2016
• Fast Bayesian whole‐brain fMRI analysis with spatial 3D priorsPer Sidén, Anders Eklund, David Bolin — 2016
• Optimization of non-linear image registration in AFNIJunqi Yin, Thomas Anthony, Jon Marstrander — 2016
• Automatic Detection of Anatomical Landmarks in Three-Dimensional MRIHannes Järrendahl — 2016
• Nanosurveyor: a framework for real-time data processingBenedikt J. Daurer, Hari Krishnan, Talita Perciano — 2016
• BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methodsKrzysztof J. Gorgolewski, Fidel Alfaro‐Almagro, Tibor Auer — 2016
• A Hitchhiker's Guide to Functional Magnetic Resonance ImagingJosé Miguel Soares, Ricardo Magalhães, Pedro Silva Moreira — 2016
• A Bayesian Heteroscedastic GLM with Application to fMRI Data with Motion SpikesAnders Eklund, Martin A. Lindquist, Mattias Villani — 2016

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