Search Results - "Cuisenaire, O."

Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images by Cuadra, M.B., Cammoun, L., Butz, T., Cuisenaire, O., Thiran, J.-P.

“…This paper presents a validation study on statistical nonsupervised brain tissue classification techniques in magnetic resonance (MR) images. Several image…”
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Comparison of admission perfusion computed tomography and qualitative diffusion- and perfusion-weighted magnetic resonance imaging in acute stroke patients by WINTERMARK, M, REICHHART, M, CUISENAIRE, O, MAEDER, P, THIRAN, J.-P, SCHNYDER, P, BOGOUSSLAVSKY, J, MEULI, R

“…Besides classic criteria, cerebral perfusion imaging could improve patient selection for thrombolytic therapy. The purpose of this study was to compare…”
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Atlas-based segmentation of pathological MR brain images using a model of lesion growth by Cuadra, M.B., Pollo, C., Bardera, A., Cuisenaire, O., Villemure, J.-G., Thiran, J.-P.

“…We propose a method for brain atlas deformation in the presence of large space-occupying tumors, based on an a priori model of lesion growth that assumes…”
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Fast Euclidean Distance Transformation by Propagation Using Multiple Neighborhoods by Cuisenaire, O, Macq, B

“…We propose a new exact Euclidean distance transformation (DT) by propagation, using bucket sorting. A fast but approximate DT is first computed using a coarse…”
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Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading by Hameeteman, K., Zuluaga, M.A., Freiman, M., Joskowicz, L., Cuisenaire, O., Valencia, L. Flórez, Gülsün, M.A., Krissian, K., Mille, J., Wong, W.C.K., Orkisz, M., Tek, H., Hoyos, M. Hernández, Benmansour, F., Chung, A.C.S., Rozie, S., van Gils, M., van den Borne, L., Sosna, J., Berman, P., Cohen, N., Douek, P.C., Sánchez, I., Aissat, M., Schaap, M., Metz, C.T., Krestin, G.P., van der Lugt, A., Niessen, W.J., van Walsum, T.

“…This paper describes an evaluation framework that allows a standardized and objective quantitative comparison of carotid artery lumen segmentation and stenosis…”
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Registration and real-time visualization of transcranial magnetic stimulation with 3-D MR images by Noirhomme, Q., Ferrant, M., Vandermeeren, Y., Olivier, E., Macq, B., Cuisenaire, O.

“…This paper describes a method for registering and visualizing in real-time the results of transcranial magnetic stimulations (TMS) in physical space on the…”
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A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms by Castro, F.J.S., Pollo, C., Meuli, R., Maeder, P., Cuisenaire, O., Cuadra, M.B., Villemure, J.-G., Thiran, J.-P.

“…Validation of image registration algorithms is a difficult task and open-ended problem, usually application-dependent. In this paper, we focus on deep brain…”
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Automatic morphometry of nerve histological sections by Romero, E, Cuisenaire, O, Denef, J.F, Delbeke, J, Macq, B, Veraart, C

“…A method for the automatic segmentation, recognition and measurement of neuronal myelinated fibers in nerve histological sections is presented. In this method,…”
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Fast and exact signed Euclidean distance transformation with linear complexity by Cuisenaire, O., Macq, B.

“…We propose a new signed or unsigned Euclidean distance transformation algorithm, based on the local corrections of the well-known 4SED algorithm of Danielsson…”
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Locally adaptable mathematical morphology using distance transformations by Cuisenaire, Olivier

“…We investigate how common binary mathematical morphology operators can be adapted so that the size of the structuring element can vary across the image pixels…”
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What and where in human audition: selective deficits following focal hemispheric lesions by CLARKE, Stephanie, BELLMANN THIRAN, Anne, MAEDER, Philippe, ADRIANI, Michela, VERNET, Olivier, REGLI, Luca, CUISENAIRE, Olivier, THIRAN, Jean-Philippe

“…A sound that we hear in a natural setting allows us to identify the sound source and localize it in space. The two aspects can be disrupted independently as…”
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White matter fiber tract segmentation in DT-MRI using geometric flows by Jonasson, Lisa, Bresson, Xavier, Hagmann, Patric, Cuisenaire, Olivier, Meuli, Reto, Thiran, Jean-Philippe

“…In this paper, we present a 3D geometric flow designed to segment the main core of fiber tracts in diffusion tensor magnetic resonance images. The fundamental…”
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Fast Euclidean morphological operators using local distance transformation by propagation, and applications by Cuisenaire, O, Macq, B

“…We propose a new method to compute the morphological dilation of a binary image with a circular structuring element of any given size, on a discrete lattice…”
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Locally adaptable mathematical morphology by Cuisenaire, O.

“…We investigate how common binary mathematical morphology operators can be adapted so that the size of the structuring element (SE) can vary across the image…”
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Applications of the region growing Euclidean distance transform: anisotropy and skeletons by Cuisenaire, O., Macq, B.

“…A new region growing algorithm has been proposed for computing Euclidean distance maps in a time comparable to widely used chamfer distance transform. We show…”
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The Euclidean k-distance transformation in arbitrary dimensions: a separable implementation by Cuisenaire, O.

“…The signed k-distance transformation (k-DT) computes the k nearest prototypes from each location on a discrete regular grid within a given D dimensional…”
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Multi-modal medical image registration: from information theory to optimization objective by Butz, T., Cuisenaire, O., Thiran, J.-P.

“…A relatively large class of information theoretical measures, including e.g. mutual information or normalized entropy, has been used in multi-modal medical…”
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Segmentation of brain structures in presence of a space-occupying lesion by Pollo, Claudio, Bach Cuadra, Meritxell, Cuisenaire, Olivier, Villemure, Jean-Guy, Thiran, Jean-Philippe

“…Brain deformations induced by space-occupying lesions may result in unpredictable position and shape of functionally important brain structures. The aim of…”
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Relative anatomical location for statistical non-parametric brain tissue classification in MR images by Solanas, E., Duay, V., Cuisenaire, O., Thiran, J.-P.

“…We propose a statistical nonparametric classification of brain tissues from an MR image based on the voxel intensities and on the relative anatomical location…”
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Automatic segmentation of internal structures of the brain in MR images using a tandem of affine and non-rigid registration of an anatomical brain atlas by Cuadra, M.B., Cuisenaire, O., Meuli, R., Thiran, J.-P.

“…In the study of many neurological pathologies, the accurate quantization of the white matter (WM) and gray matter (GM) volumes of the brain is essential…”
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