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Thierry Pécot

Showing results (1-10 of 31) with videos related to

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F1000Research|February 10, 2022
A deep learning segmentation strategy that minimizes the amount of manually annotated imagesThierry Pécot, Alexander Alekseyenko, Kristin Wallace
Biometrics|July 5, 2019
Testing independence between two random sets for the analysis of colocalization in bioimagingFrédéric Lavancier, Thierry Pécot, Liu Zengzhen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 6, 2008
Patch-based Markov models for event detection in fluorescence bioimagingThierry Pécot, Charles Kervrann, Sabine Bardin, et al.
Elife|August 10, 2018
A quantitative approach for analyzing the spatio-temporal distribution of 3D intracellular events in fluorescence microscopyThierry Pécot, Liu Zengzhen, Jérôme Boulanger, et al.
BMC Bioinformatics|April 28, 2012
A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq dataZhi Han, Lu Tian, Thierry Pécot, et al.
Plos Computational Biology|March 14, 2022
Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still imagesThierry Pécot, Maria C Cuitiño, Roger H Johnson, et al.
Journal of Cell Science|September 18, 2025
Regulation of cell shape and mechanics by Rho GEFs and GAPs in a proliferative epithelial tissueEmeline Durel, Nathalie Bécot, Mathieu Pinot, et al.
Journal of the American Medical Informatics Association : JAMIA|April 16, 2013
Identifying survival associated morphological features of triple negative breast cancer using multiple datasetsChao Wang, Thierry Pécot, Debra L Zynger, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Identifying nuclear phenotypes using semi-supervised metric learningShantanu Singh, Firdaus Janoos, Thierry Pécot, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 23, 2014
Background fluorescence estimation and vesicle segmentation in live cell imaging with conditional random fieldsThierry Pécot, Patrick Bouthemy, Jérôme Boulanger, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
F1000Research|February 10, 2022
A deep learning segmentation strategy that minimizes the amount of manually annotated imagesThierry Pécot, Alexander Alekseyenko, Kristin Wallace
Biometrics|July 5, 2019
Testing independence between two random sets for the analysis of colocalization in bioimagingFrédéric Lavancier, Thierry Pécot, Liu Zengzhen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 6, 2008
Patch-based Markov models for event detection in fluorescence bioimagingThierry Pécot, Charles Kervrann, Sabine Bardin, et al.
Elife|August 10, 2018
A quantitative approach for analyzing the spatio-temporal distribution of 3D intracellular events in fluorescence microscopyThierry Pécot, Liu Zengzhen, Jérôme Boulanger, et al.
BMC Bioinformatics|April 28, 2012
A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq dataZhi Han, Lu Tian, Thierry Pécot, et al.
Plos Computational Biology|March 14, 2022
Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still imagesThierry Pécot, Maria C Cuitiño, Roger H Johnson, et al.
Journal of Cell Science|September 18, 2025
Regulation of cell shape and mechanics by Rho GEFs and GAPs in a proliferative epithelial tissueEmeline Durel, Nathalie Bécot, Mathieu Pinot, et al.
Journal of the American Medical Informatics Association : JAMIA|April 16, 2013
Identifying survival associated morphological features of triple negative breast cancer using multiple datasetsChao Wang, Thierry Pécot, Debra L Zynger, et al.
Information Processing in Medical Imaging : Proceedings of the ... Conference|July 19, 2011
Identifying nuclear phenotypes using semi-supervised metric learningShantanu Singh, Firdaus Janoos, Thierry Pécot, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 23, 2014
Background fluorescence estimation and vesicle segmentation in live cell imaging with conditional random fieldsThierry Pécot, Patrick Bouthemy, Jérôme Boulanger, et al.
Pageof 4