Charles Kervrann
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An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images
P Coupé, P Yger, S Prima, P Hellier, C Kervrann, C Barillot
IEEE transactions on medical imaging 27 (4), 425-441, 2008
Objective comparison of particle tracking methods
N Chenouard, I Smal, F De Chaumont, M Maška, IF Sbalzarini, Y Gong, ...
Nature methods 11 (3), 281-289, 2014
Nonlocal means-based speckle filtering for ultrasound images
P Coupé, P Hellier, C Kervrann, C Barillot
IEEE transactions on image processing 18 (10), 2221-2229, 2009
Optimal spatial adaptation for patch-based image denoising
C Kervrann, J Boulanger
IEEE Transactions on Image Processing 15 (10), 2866-2878, 2006
Optical flow modeling and computation: A survey
D Fortun, P Bouthemy, C Kervrann
Computer Vision and Image Understanding 134, 1-21, 2015
Patch-based nonlocal functional for denoising fluorescence microscopy image sequences
J Boulanger, C Kervrann, P Bouthemy, P Elbau, JB Sibarita, J Salamero
IEEE transactions on medical imaging 29 (2), 442-454, 2009
Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal
C Kervrann, J Boulanger, P Coupé
International conference on scale space and variational methods in computer …, 2007
Local adaptivity to variable smoothness for exemplar-based image regularization and representation
C Kervrann, J Boulanger
International Journal of Computer Vision 79 (1), 45-69, 2008
Fast live simultaneous multiwavelength four-dimensional optical microscopy
PM Carlton, J Boulanger, C Kervrann, JB Sibarita, J Salamero, ...
Proceedings of the National Academy of Sciences 107 (37), 16016-16022, 2010
A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics
C Kervrann, F Heitz
IEEE transactions on image processing 4 (6), 856-862, 1995
Space-time adaptation for patch-based image sequence restoration
J Boulanger, C Kervrann, P Bouthemy
IEEE transactions on pattern analysis and machine intelligence 29 (6), 1096-1102, 2007
Bayesian non local means-based speckle filtering
P Coupé, P Hellier, C Kervrann, C Barillot
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2008
A hierarchical Markov modeling approach for the segmentation and tracking of deformable shapes
C Kervrann, F Heitz
Graphical Models and Image Processing 60 (3), 173-195, 1998
3D wavelet subbands mixing for image denoising
P Coupé, P Hellier, S Prima, C Kervrann, C Barillot
International Journal of Biomedical Imaging 2008, 2008
Condensed mitotic chromosome structure at nanometer resolution using PALM and EGFP-histones
A Matsuda, L Shao, J Boulanger, C Kervrann, PM Carlton, P Kner, ...
PloS one 5 (9), e12768, 2010
A hierarchical statistical framework for the segmentation of deformable objects in image sequences
Kervrann, Heitz
1994 Proceedings of IEEE Conference on Computer Vision and Pattern …, 1994
Deep learning improves macromolecule identification in 3D cellular cryo-electron tomograms
E Moebel, A Martinez-Sanchez, L Lamm, RD Righetto, W Wietrzynski, ...
Nature methods 18 (11), 1386-1394, 2021
Multiple-target tracking of 3D fluorescent objects based on simulated annealing
V Racine, A Hertzog, J Jouanneau, J Salamero, C Kervrann, JB Sibarita
3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006
Statistical deformable model-based segmentation of image motion
C Kervrann, F Heitz
IEEE transactions on image processing 8 (4), 583-588, 1999
A guided tour of selected image processing and analysis methods for fluorescence and electron microscopy
C Kervrann, CÓS Sorzano, ST Acton, JC Olivo-Marin, M Unser
IEEE Journal of Selected Topics in Signal Processing 10 (1), 6-30, 2015
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