• 2Struc

  • Referenced in 1 article [sw28699]
  • made within a collection of nuclear magnetic resonance models, or between the crystal structures...
  • SimTB

  • Referenced in 4 articles [sw15243]
  • simulate functional magnetic resonance imaging (fMRI) datasets under a model of spatiotemporal separability. The toolbox...
  • FAME

  • Referenced in 12 articles [sw03344]
  • parallel analysis to obtain automatic and objective model truncation. Further, two different AAM training methods ... cross-sectional short-axis cardiac magnetic resonance images and face images. Source code and annotated...
  • Radio-iBAG

  • Referenced in 1 article [sw32135]
  • Genomic Data, a multi-scale Bayesian hierarchical model that involves several innovative strategies: it incorporates ... data set, where-in we integrate magnetic resonance imaging-based biomarkers along with genomic ... epigenomic and transcriptomic data. Our model identifies important magnetic resonance imaging features and the associated...
  • dpmixsim

  • Referenced in 3 articles [sw24713]
  • mixture model). The package’s applications are oriented towards the classification of magnetic resonance images...
  • DT-MRI

  • Referenced in 7 articles [sw03048]
  • biomechanical analysis and medical image computing. To model the morphology and the material response ... ultra-high field Diffusion Tensor Magnetic Resonance Imaging (17.6T DT-MRI) and a novel...
  • BSMac

  • Referenced in 1 article [sw38613]
  • MATLAB toolbox implementing a Bayesian spatial model for brain activation and connectivity. We present ... functional magnetic resonance imaging (fMRI) data, called the Bayesian Spatial Model for activation and connectivity...
  • dti

  • Referenced in 7 articles [sw06588]
  • Diffusion Weighted Imaging (DWI) is a Magnetic Resonance Imaging modality, that measures diffusion of water ... Smoothing, Neuroimage 39(4), 1763-1773 (2008)), modeling for high angular resolution diffusion weighted imaging...
  • MRtrix

  • Referenced in 9 articles [sw19840]
  • regions. In recent years, diffusion-weighted magnetic resonance imaging has attracted considerable attention ... typically based on the diffusion tensor model, which has comprehensively been shown to be inadequate...
  • NiftyFit

  • Referenced in 0 articles [sw18918]
  • Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data. Multi-modal, multi ... such multi-contrast Magnetic Resonance Imaging that provides a unified model-fitting framework. We describe...
  • MFBOX

  • Referenced in 1 article [sw09960]
  • free analysis of fMRI data. We introduce Model-free Toolbox (MFBOX), a Matlab toolbox ... functional Nuclear Magnetic Resonance Imaging (fMRI) data sets with various model-free or data-driven...
  • GMWB3D-SLC

  • Referenced in 7 articles [sw18132]
  • turbulent heat conduction across the equilibrium magnetic field. It has long been acknowledged, that ... takes into account nonlinear resonant wave–particle interaction, kinetic modeling has the drawback ... birth of the gyro-water-bag model. This model is suitable for studying linear ... instabilities and the associated anomalous transport in magnetically-confined plasmas. The present paper addresses...
  • Dalton

  • Referenced in 2 articles [sw33911]
  • calculated using these electronic-structure models. Molecular gradients and Hessians are available for geometry optimizations ... molecular dynamics, and vibrational studies, whereas magnetic resonance and optical activity can be studied ... various dielectric-medium and quantum-mechanics/molecular-mechanics models. Large molecules may be studied using linear...
  • SECT

  • Referenced in 4 articles [sw38960]
  • Euler characteristic transform (SECT) -- that quantifies magnetic resonance images of tumors. Due to its well ... wider range of functional and nonparametric modeling approaches than other previously proposed topological summary statistics...
  • PottsMix

  • Referenced in 1 article [sw32783]
  • Potts-mixture spatiotemporal joint model for combined magnetoencephalography and electroencephalography data. We develop ... data from three different modalities, magnetic resonance imaging (MRI), MEG and EEG, together. We propose ... Bayesian spatial finite mixture model that builds on the mesostate-space model developed by Daunizeau...
  • oasis

  • Referenced in 1 article [sw25761]
  • sclerosis (MS) lesion segmentation on structural magnetic resonance image (MRI) studies. OASIS creates probability maps ... packages allows for training of the OASIS model and prediction of OASIS probability maps from...
  • qMRI

  • Referenced in 1 article [sw31168]
  • package qMRI: Methods for Quantitative Magnetic Resonance Imaging (’qMRI’). Implementation of methods for estimation ... methods in the framework of the ESTATICS model (Estimating the apparent transverse relaxation time ... described in Polzehl and Tabelow (2019), Magnetic Resonance Brain Imaging, Chapter 6, Springer...
  • Disimpy

  • Referenced in 1 article [sw34989]
  • simulator for generating diffusion-weighted magnetic resonance imaging (dMRI) data that is useful ... acquisition and analysis. Diffusion of water is modelled as an ensemble of random walkers whose...
  • ChemoSpec

  • Referenced in 1 article [sw15966]
  • spectral data obtained via nuclear magnetic resonance (NMR), infrared (IR) or Raman spectroscopy. Includes functions ... analysis (HCA), principal components analysis (PCA) and model-based clustering. Robust methods appropriate for this...
  • PULSAR

  • Referenced in 3 articles [sw21084]
  • effective approach to achieving fast magnetic resonance imaging (MRI). This article presents a Matlab toolbox ... rectangular loop coils using a quasi-static model based on Biot-Savart...