Search Results - "Pécot, Thierry"

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    Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still images by Pécot, Thierry, Cuitiño, Maria C, Johnson, Roger H, Timmers, Cynthia, Leone, Gustavo

    Published in PLoS computational biology (01-03-2022)
    “…Automatic characterization of fluorescent labeling in intact mammalian tissues remains a challenge due to the lack of quantifying techniques capable of…”
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    Journal Article
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    Testing independence between two random sets for the analysis of colocalization in bioimaging by Lavancier, Frédéric, Pécot, Thierry, Zengzhen, Liu, Kervrann, Charles

    Published in Biometrics (01-03-2020)
    “…Colocalization aims at characterizing spatial associations between two fluorescently tagged biomolecules by quantifying the co‐occurrence and correlation…”
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    Journal Article
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    A quantitative approach for analyzing the spatio-temporal distribution of 3D intracellular events in fluorescence microscopy by Pécot, Thierry, Zengzhen, Liu, Boulanger, Jérôme, Salamero, Jean, Kervrann, Charles

    Published in eLife (09-08-2018)
    “…Analysis of the spatial distribution of endomembrane trafficking is fundamental to understand the mechanisms controlling cellular dynamics, cell homeostasy,…”
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    Journal Article
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    Deep learning provides high accuracy in automated chondrocyte viability assessment in articular cartilage using nonlinear optical microscopy by Chen, Xun, Li, Yang, Wyman, Nicole, Zhang, Zheng, Fan, Hongming, Le, Michael, Gannon, Steven, Rose, Chelsea, Zhang, Zhao, Mercuri, Jeremy, Yao, Hai, Gao, Bruce, Woolf, Shane, Pécot, Thierry, Ye, Tong

    Published in Biomedical optics express (01-05-2021)
    “…Chondrocyte viability is a crucial factor in evaluating cartilage health. Most cell viability assays rely on dyes and are not applicable for or longitudinal…”
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    Background Fluorescence Estimation and Vesicle Segmentation in Live Cell Imaging With Conditional Random Fields by Pecot, Thierry, Bouthemy, Patrick, Boulanger, Jerome, Chessel, Anatole, Bardin, Sabine, Salamero, Jean, Kervrann, Charles

    Published in IEEE transactions on image processing (01-02-2015)
    “…Image analysis applied to fluorescence live cell microscopy has become a key tool in molecular biology since it enables to characterize biological processes in…”
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    Journal Article
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    A deep learning segmentation strategy that minimizes the amount of manually annotated images [version 1; peer review: 2 approved with reservations] by Pécot, Thierry, Alekseyenko, Alexander, Wallace, Kristin

    Published in F1000 research (2021)
    “…Deep learning has revolutionized the automatic processing of images. While deep convolutional neural networks have demonstrated astonishing segmentation…”
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    Journal Article
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    Identifying survival associated morphological features of triple negative breast cancer using multiple datasets by Wang, Chao, Pécot, Thierry, Zynger, Debra L, Machiraju, Raghu, Shapiro, Charles L, Huang, Kun

    “…Biomarkers for subtyping triple negative breast cancer (TNBC) are needed given the absence of responsive therapy and relatively poor prediction of survival…”
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    Counting-Based Particle Flux Estimation for Traffic Analysis in Live Cell Imaging by Pecot, Thierry, Kervrann, Charles, Salamero, Jean, Boulanger, Jerome

    “…A quantitative analysis of the dynamic contents in fluorescence time-lapse microscopy is crucial to decipher the molecular mechanisms involved in cell…”
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    Journal Article
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    Capturing variations in nuclear phenotypes by Raman, Sundaresan, Singh, Shantanu, Pécot, Thierry, Caserta, Enrico, Huang, Kun, Rittscher, Jens, Leone, Gustavo, Machiraju, Raghu

    Published in Journal of computational science (01-09-2019)
    “…•We propose a way for 3D quantification of nuclear phenotypes in a tissue microenvironment using shape, texture and contextual features.•We implement on a…”
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    Journal Article
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    A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data by Han, Zhi, Tian, Lu, Pécot, Thierry, Huang, Tim, Machiraju, Raghu, Huang, Kun

    Published in BMC bioinformatics (13-03-2012)
    “…RNA polymerase II (PolII) is essential in gene transcription and ChIP-seq experiments have been used to study PolII binding patterns over the entire genome…”
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    Transcriptome regulation and chromatin occupancy by E2F3 and MYC in mice by Tang, Xing, Liu, Huayang, Srivastava, Arunima, Pécot, Thierry, Chen, Zhong, Wang, Qianben, Huang, Kun, Sáenz-Robles, Maria Teresa, Cantalupo, Paul, Pipas, James, Leone, Gustavo

    Published in Scientific data (16-02-2016)
    “…E2F3 and MYC are transcription factors that control cellular proliferation. To study their mechanism of action in the context of a regenerating tissue, we…”
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    Journal Article
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    Identifying nuclear phenotypes using semi-supervised metric learning by Singh, Shantanu, Janoos, Firdaus, Pécot, Thierry, Caserta, Enrico, Leone, Gustavo, Rittscher, Jens, Machiraju, Raghu

    “…In systems-based approaches for studying processes such as cancer and development, identifying and characterizing individual cells within a tissue is the first…”
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    Journal Article
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    Estimation of the flow of particles within a partition of the image domain in fluorescence video-microscopy by Pecot, Thierry, Boulanger, Jerome, Kervrann, Charles, Bouthemy, Patrick, Salamero, Jean

    “…Automatic analysis of the dynamic content in fluorescence video-microscopy is crucial for understanding molecular mechanisms involved in cell functions. In…”
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    Conference Proceeding
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    An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of ovaries by Lesage, Manon, Thomas, Manon, Pécot, Thierry, Ly, Tu-Ky, Hinfray, Nathalie, Beaudouin, Remy, Neumann, Michelle, Lovell-Badge, Robin, Bugeon, Jérôme, Thermes, Violette

    Published in Development (Cambridge) (01-04-2023)
    “…Computational analysis of bio-images by deep learning (DL) algorithms has made exceptional progress in recent years and has become much more accessible to…”
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    The coordination of spindle-positioning forces during the asymmetric division of the Caenorhabditis elegans zygote by Bouvrais, Hélène, Chesneau, Laurent, Le Cunff, Yann, Fairbrass, Danielle, Soler, Nina, Pastezeur, Sylvain, Pécot, Thierry, Kervrann, Charles, Pécréaux, Jacques

    Published in EMBO reports (05-05-2021)
    “…In Caenorhabditis elegans zygote, astral microtubules generate forces essential to position the mitotic spindle, by pushing against and pulling from the…”
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    Journal Article
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