Search Results - "Kervrann, C."

Towards unsupervised classification of macromolecular complexes in cryo electron tomography: Challenges and opportunities by Moebel, E., Kervrann, C.

“…BACKGROUND AND OBJECTIVESCryo electron tomography visualizes native cells at nanometer resolution, but analysis is challenged by noise and artifacts. Recently,…”
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An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images by Coupe, P., Yger, P., Prima, S., Hellier, P., Kervrann, C., Barillot, C.

“…A critical issue in image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to…”
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Optimal Spatial Adaptation for Patch-Based Image Denoising by Kervrann, C., Boulanger, J.

“…A novel adaptive and patch-based approach is proposed for image denoising and representation. The method is based on a pointwise selection of small image…”
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Nonlocal means-based speckle filtering for ultrasound images by Coupe, P., Hellier, P., Kervrann, C., Barillot, C.

“…In image processing, restoration is expected to improve the qualitative inspection of the image and the performance of quantitative image analysis techniques…”
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Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image Sequences by Boulanger, J., Kervrann, C., Bouthemy, P., Elbau, P., Sibarita, J.-B., Salamero, J.

“…We present a nonparametric regression method for denoising 3-D image sequences acquired via fluorescence microscopy. The proposed method exploits the…”
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Space-Time Adaptation for Patch-Based Image Sequence Restoration by Boulanger, J., Kervrann, C., Bouthemy, P.

“…We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local…”
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An adaptive statistical test to detect non Brownian diffusion from particle trajectories by Briane, V., Vimond, M., Kervrann, C.

“…Assessing the dynamics of particles inside live cell is of paramount interest to understand cell mechanisms. In this paper, we assume that the motions of…”
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Robust incremental compensation of the light attenuation with depth in 3D fluorescence microscopy by KERVRANN, C., LEGLAND, D., PARDINI, L.

“…Summary Fluorescent signal intensities from confocal laser scanning microscopes (CLSM) suffer from several distortions inherent to the method. Namely, layers…”
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Detection and estimation of membrane diffusion during exocytosis in TIRFM image sequences by Basset, A., Bouthemy, P., Boulanger, J., Waharte, F., Kervrann, C., Salamero, J.

“…Assessing the dynamics of plasma membrane diffusion processes in live cell fluorescence microscopy is of paramount interest to understand cell mechanisms. We…”
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A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics by Kervrann, C., Heitz, F.

“…Many studies have proven that statistical model-based texture segmentation algorithms yield good results provided that the model parameters and the number of…”
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Statistical deformable model-based segmentation of image motion by Kervrann, C., Heitz, F.

“…We present a statistical method for the motion-based segmentation of deformable structures undergoing nonrigid movements. The proposed approach relies on two…”
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A Fourier-based method for detecting curved microtubule centers: Application to straightening of cryo-electron microscope images by Blestel, S., Kervrann, C., Chretien, D.

“…In this paper, we propose two sensitive contributions to automatically determine the local orientations and centers of short segments of microtubules in…”
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A detection-based framework for the analysis of recycling in TIRF microscopy by Chessel, A, Cinquin, B, Bardin, S, Boulanger, J, Salamero, J, Kervrann, C

“…Endocytosis/recycling and exocytosis are mechanisms conserved through evolution allowing cells to communicate with their external medium. In order to study…”
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Multiple-target tracking of 3D fluorescent objects based on simulated annealing by Racine , Victor (Institut Curie, Paris(France). UMR 144 Imaging Centre), Hertzog , Ariane (Institut Curie, Paris(France). Morphogenèse cellulaire et progression tumurale), Jouanneau , Jacqueline (Institut Curie, Paris(France). Morphogenèse cellulaire et progression tumurale), Salamero , Jean (Institut Curie, Paris(France). UMR 144 Imaging Centre), Kervrann , Charles (INRA (France). UR 0341 Unité de recherche Mathématiques et Informatique Appliquées), Sibarita , Jean-Baptiste (Institut Curie, Paris(France). Morphogenèse cellulaire et progression tumurale)

“…This paper presents a framework for tracking fluorescent objects imaged with 3D+time video-microscopy. The proposed technique solves the NP-hard problem of the…”
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Generalized likelihood ratio-based face detection and extraction of mouth features by Kervrann, C., Davoine, F., Pérez, P., Forchheimer, R., Labit, C.

“…We describe a system to detect the speaker's face and mouth in videophone sequences. A statistical scheme based on a subspace method is described for detecting…”
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Robust tracking of stochastic deformable models in long image sequences by Kervrann, C., Heitz, F.

“…We describe a method for the temporal tracking of stochastic deformable models in long image sequences. The object representation relies on a hierarchical…”
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Bayesian non local means-based speckle filtering by Coupe, P., Hellier, P., Kervrann, C., Barillot, C.

“…In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis techniques. In this paper, a new version of the non local (nl) means…”
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An adaptive window approach for Poisson noise reduction and structure preserving in confocal microscopy by Kervrann, C., Trubuil, A.

“…In domains like confocal microscopy, the imaging process is based on detection of photons. It is established the additive Gaussian noise model is a poor…”
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Semi-local variational optical flow estimation by Fortun, D., Kervrann, C.

“…Global variational methods for optical flow estimation usually suffer from an over-smoothing effect. We propose a semi-local estimation framework designed to…”
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Robust parametric stabilization of moving cells with intensity correction in light microscopy image sequences by Ozere, S., Bouthemy, P., Spindler, F., Paul-Gilloteaux, Perrine, Kervrann, C.

“…Automatically stabilizing moving living cells in fluorescence microscopy image sequences is required to attain and analyze the actual displacements of…”
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