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[PDF] Top 20 Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints

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Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints

Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints

... Conclusion In this chapter, we introduced the JPDE model which is an extension of the parcel-based JDE ...responses in a given ...the parcellation to be fixed a priori by, ...tern and relaxing ... Voir le document complet

232

Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework

Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework

... hemodynamics in event-related functional MRI (fMRI) data is a crucial issue to disentangle the vascular response from the neuronal activity in the BOLD ...parcels. In this paper, we ... Voir le document complet

31

Joint Bayesian Hyperspectral Unmixing for change detection

Joint Bayesian Hyperspectral Unmixing for change detection

... a Bayesian framework for HS unmixing [10], their adoption for CD is less ...unsupervised automatic so- lution for HS-CD by spectral unmixing based on a Hierar- chical Bayesian ...a Bayesian ... Voir le document complet

5

Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses

Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses

... deal with all the issues described above, we propose an atlas estimation procedure that can improve the template image estimation and the detection of the active ...T1 and ... Voir le document complet

9

Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data

Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data

... P., and Forbes F. analysis in terms of goodness-of-fit and also sensitivity, especially in its ability to better segregate the gray and white matter within the estimated perfusion ... Voir le document complet

9

Subject-level Joint Parcellation-Detection-Estimation in fMRI

Subject-level Joint Parcellation-Detection-Estimation in fMRI

... Subject-level Joint Parcellation-Detection-Estimation in fMRI Lotfi CHAARI Member, Solveig BADILLO, Thomas VINCENT, Ghislaine DEHAENE-LAMBERTZ, Florence FORBES and Philippe ... Voir le document complet

11

Joint Bayesian Hyperspectral Unmixing for change detection

Joint Bayesian Hyperspectral Unmixing for change detection

... a Bayesian framework for HS unmixing [10], their adoption for CD is less ...unsupervised automatic so- lution for HS-CD by spectral unmixing based on a Hierar- chical Bayesian ...a Bayesian ... Voir le document complet

6

Multi-subject joint parcellation detection estimation in functional MRI

Multi-subject joint parcellation detection estimation in functional MRI

... initial parcellation was applied to all subjects with 4 parcels (see ...associated with different model orders [5]. The estimated group-level parcellation is shown in ...3 and 4 ... Voir le document complet

5

Multi-subject joint parcellation detection estimation in functional MRI

Multi-subject joint parcellation detection estimation in functional MRI

... initial parcellation was applied to all subjects with 4 parcels (see ...associated with different model orders [5]. The estimated group-level parcellation is shown in ...3 and 4 ... Voir le document complet

5

Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG

Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG

... problem. In this work, we use a distributed model ( Baillet et ...problem. In particular, an infinite number of dipole activity configurations will fit the ob- served measurements equally ...smoothness ... Voir le document complet

20

Exploratory functional flood frequency analysis and outlier detection

Exploratory functional flood frequency analysis and outlier detection

... (y i (t j ) − x i (t j )) 2 , for i = 1, ..., n (4) For more details, the reader is referred, for instance, to Ramsay and Silverman (2005). A num- 196 ber of possible types of basis ϕ k (.) have been presented ... Voir le document complet

59

Functional estimation of extreme conditional expectiles

Functional estimation of extreme conditional expectiles

... high), and these estimates are then extrapolated using the shape of the conditional heavy-tailed distribution to obtain estimators of properly extreme conditional ...assumptions, and the general idea behind ... Voir le document complet

41

Effects of attention and emotion on face processing in depression: a functional MRI study.

Effects of attention and emotion on face processing in depression: a functional MRI study.

... activation in the two ...attribution) in temporal areas (BA22−39−41), in frontal regions (BA9−11) and in limbic lobe ...1 in parietal areas (BA 2−40−43), in temporal lobe ... Voir le document complet

1

Pre-­-neurosurgical detection of cerebral motor areas by functional MRI: Comparison between Blood Oxygenation Level (BOLD) and functional Arterial Spin Labeling (fASL) techniques

Pre-­-neurosurgical detection of cerebral motor areas by functional MRI: Comparison between Blood Oxygenation Level (BOLD) and functional Arterial Spin Labeling (fASL) techniques

... Model with a massively univariate analysis and a 5% Family Wise Error ...Visual detection rate was defined by the rate of subjects, whose motor maps visually matched the PMA defined by anatomical ... Voir le document complet

3

MULTIFRACTAL ANALYSIS OF RESTING STATE NETWORKS IN FUNCTIONAL MRI

MULTIFRACTAL ANALYSIS OF RESTING STATE NETWORKS IN FUNCTIONAL MRI

... [18]. In this paper, canICA is used to segment salient fea- tures from multi-subject resting-state datasets, thus decomposing the multivariate datasets in a product of K spatial components and as- ... Voir le document complet

7

Joint Estimation and Smoothing of Clinical DT-MRI with a Log-Euclidean Metric

Joint Estimation and Smoothing of Clinical DT-MRI with a Log-Euclidean Metric

... information and there is also an uncertainty of the spectral decomposition in regions with flat tensors, and discontinuity problems arise when smoothing the field of orthogonal matrices as the ... Voir le document complet

22

Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI

Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI

... cluster in the right motor cortex. In contrast, our 4D- UWR-SENSE method retrieves more coherent activity for this second subject in the expected ...slice and R ¼ 2, that all pMRI ... Voir le document complet

22

Characterization of Mouse Lemur Brain by Anatomical, Functional and Glutamate MRI

Characterization of Mouse Lemur Brain by Anatomical, Functional and Glutamate MRI

... breakthroughs in the understanding of brain function in normal as well as in pathological conditions such as Alzheimer’s or Parkinson’s ...connectivity in mouse ...(BOLD) functional ... Voir le document complet

276

Challenges and Perspectives of the Hybridization of PET with Functional MRI or Ultrasound for Neuroimaging

Challenges and Perspectives of the Hybridization of PET with Functional MRI or Ultrasound for Neuroimaging

... data with separately acquired MRI images ...simultaneous functional information representing disease states (Zhu and Zhu, ...PET and MRI is not recent and goes back to the ... Voir le document complet

40

Automatic Non-functional Testing of Code Generators Families

Automatic Non-functional Testing of Code Generators Families

... development and automatically generate code for dif- ferent languages and ...example in Figure 1, three code generators from the same family capa- ble to generate code to three software programming ... Voir le document complet

12

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