[PDF] Top 20 A SAEM algorithm for the estimation of template and deformation parameters in medical image sequences
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A SAEM algorithm for the estimation of template and deformation parameters in medical image sequences
... throughout a se- quence of images. We present a statistical framework in which the observed images are defined as noisy realizations of a randomly deformed template ... Voir le document complet
25
Local Optimal Transport for Functional Brain Template Estimation
... data of the target subject and score this prediction against the true target subject images using a prediction metric (see ...IBC and HCP datasets to compare prediction ... Voir le document complet
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Validation in medical image processing.
... Validation of image processing methods The use of experts in identifying landmarks is common in medical image processing, but due to intra-expert and ... Voir le document complet
8
Template estimation for samples of curves and functional calibration estimation via the method of maximum entropy on the mean
... d the Euclidean distance on R m and δ the induced geodesic distance on ...estimate the geodesic distance between two points on the manifold δ (X i , X i 0 ) for all i 6= i 0 ∈ ... Voir le document complet
136
Validation of medical image processing in image-guided therapy.
... use of image-guided therapy (IGT) systems has grown this last decade, creating the need for a common and rigorous validation methodology, as reported in recent workshops ... Voir le document complet
5
Dynamic estimation for medical data management in a cloud federation
... important in the medical ...(especially in the case of rare diseases with small local ...consist in a major progress in sharing medical data stored ... Voir le document complet
7
Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI
... Technology and Innovation, Princeton, NJ, 08540 USA 2 Universit´ e Cˆ ote d’Azur, Inria, Epione Team, Sophia Antipolis, 06902 France ...learn a probabilistic motion model from a se- quence of ... Voir le document complet
11
ViBe: A universal background subtraction algorithm for video sequences
... avoid the difficult question of finding an appropriate shape for the probability density function, some authors have turned their attention to non-parametric methods to model background ...One ... Voir le document complet
17
Estimation of parameters in a distributed precipitation-runoff model for Norway
... below the tree line, the upper margin of the sub-alpine forest where trees become dwarfed or are ...absent. The model was run with specific parameters for each land use ... Voir le document complet
14
Validation of a new optimisation algorithm for registration tasks in medical imaging
... number of problems frequently encountered in brain image analysis can be conveniently solved within a registra- tion framework, such as alignment of mono- or multi-sequence Magnetic ... Voir le document complet
5
Asymmetric Image-Template Registration
... For each ordered pair of images, we ran all five algorithms, treating the first image as the image I and the second image as the template ... Voir le document complet
12
CREWS - l'Ecritoire Analysis for the Implementation of a medical image database for mammography
... [6]. The first category comprises healthcare professionals (HCP) who perform clinical examinations, read and interpretate ...When the result is doubtful, HCPs need complementary examinations such as ... Voir le document complet
11
A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences
... when the maximum allowable standard de- viation is grossly overestimated. The system will then gen- erate motions, which cover more than one object, at least ...to the weak nature of ... Voir le document complet
19
CELLO: A fast algorithm for Covariance Estimation
... Learning the Metric Choosing in a principled way requires knowledge not just of R(φ), but also of the Lipschitz constant K; in practice, neither is ...is a ... Voir le document complet
9
Curve evolution for medical image segmentation
... We extend recent proofs on curve evolution and level set methods to a complete algorithm for the segmentation of tubular structures in volumetric images, and we apply thi[r] ... Voir le document complet
143
OpenMOLE: a Workflow Engine for Distributed Medical Image Analysis
... designed a workflow to explore the parameters of a segmentation method implemented in ...OpenMOLE, in order to reproduce the exploration of the same ... Voir le document complet
13
Estimation and Modeling of Key Design Parameters of Pinned Photodiode CMOS Image Sensors for High Temporal Resolution Applications
... pen A rchive T OULOUSE A rchive O uverte ( OATAO ) OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web ... Voir le document complet
81
The SAEM algorithm for group comparison tests in longitudinal data analysis based on non-linear mixed-effects model.
... intensive, and hence numerically less efficient than many other parametric ...methods. The tool most commonly used to estimate models with missing or non-observed data such as random effects is the ... Voir le document complet
30
Inconsistency of Template Estimation with the Fréchet mean in Quotient Space
... Inconsistency of the Template Estimation We start with the main theorem of this article which gives us an asymptotic behavior of the consistency bias when ... Voir le document complet
15
Assimilation of Image Sequences in Numerical Models
... by the image processing scientific community. A numerical image is the discrete version of a mathematical one that is finally and practically manipulated by ... Voir le document complet
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