Spatially varying coefficient model for neuroimaging data with jump discontinuities
Motivated by recent work on studying massive imaging data in various neuroimaging
studies, we propose a novel spatially varying coefficient model (SVCM) to capture the …
studies, we propose a novel spatially varying coefficient model (SVCM) to capture the …
Image analysis and statistical inference in neuroimaging with R
R is a language and environment for statistical computing and graphics. It can be
considered an alternative implementation of the S language developed in the 1970s and …
considered an alternative implementation of the S language developed in the 1970s and …
Thresholded multiscale gaussian processes with application to bayesian feature selection for massive neuroimaging data
R Shi, J Kang - arXiv preprint arXiv:1504.06074, 2015 - arxiv.org
Motivated by the needs of selecting important features for massive neuroimaging data, we
propose a spatially varying coefficient model (SVCMs) with sparsity and piecewise …
propose a spatially varying coefficient model (SVCMs) with sparsity and piecewise …
[图书][B] Magnetic resonance brain imaging
J Polzehl, K Tabelow - 2019 - Springer
Our interest in neuroimaging started some 20 years ago, initiated by talks given by Fred
Godtliebsen (UiT, Tromsø, Norway) and by Fridhjof Kruggel (Max-Planck-Institute of …
Godtliebsen (UiT, Tromsø, Norway) and by Fridhjof Kruggel (Max-Planck-Institute of …
Automatic detection of emotional changes induced by social support loss using fmri
C Candemir, AS Gonul… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We propose using fMRI to study emotional changes related to social-support. In this respect,
a Social Support fMRI task, which triggers emotional changes was designed and …
a Social Support fMRI task, which triggers emotional changes was designed and …
Heterogeneity of functional activation during memory encoding across hippocampal subfields in temporal lobe epilepsy
SR Das, D Mechanic-Hamilton, J Pluta… - Neuroimage, 2011 - Elsevier
Pathology studies have shown that the anatomical subregions of the hippocampal formation
are differentially affected in various neurological disorders, including temporal lobe epilepsy …
are differentially affected in various neurological disorders, including temporal lobe epilepsy …
TwinMARM: two-stage multiscale adaptive regression methods for twin neuroimaging data
Y Li, JH Gilmore, J Wang, M Styner… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Twin imaging studies have been valuable for understanding the relative contribution of the
environment and genes on brain structures and their functions. Conventional analyses of …
environment and genes on brain structures and their functions. Conventional analyses of …
Statistical parametric maps for functional MRI experiments in R: The package fmri
K Tabelow, J Polzehl - 2010 - oa.tib.eu
The package fmri is provided for analysis of single run functional Magnetic Resonance
Imaging data. It implements structural adaptive smoothing methods with signal detection for …
Imaging data. It implements structural adaptive smoothing methods with signal detection for …
An improved tensor regression model via location smoothing
Y Zhou, K He - Stat, 2021 - Wiley Online Library
Many applications of regression study the predictors with complex forms such as tensors.
Besides low dimensional assumption, the effects of predictors with a tensor structure …
Besides low dimensional assumption, the effects of predictors with a tensor structure …
Selection of Wavelet Based Optimal Denoising Method in fMRI Signals
C Candemir - 2020 Innovations in Intelligent Systems and …, 2020 - ieeexplore.ieee.org
Functional magnetic resonance images (fMRI) contains high amount of noise due to their
structures. This high noise limits the correct interpretation of the information contained in the …
structures. This high noise limits the correct interpretation of the information contained in the …