Thierry Pécot - researchr alias

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Viewing Publication 1 - 20 from 20

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, Cynthia Timmers, Gustavo Leone. ploscb, 18(3), 2022. [doi]

2021

A deep learning segmentation strategy that minimizes the amount of manually annotated imagesThierry Pécot, Alexander V. Alekseyenko, Kristin wallace. f1000research, 10:256, 2021. [doi]

2019

Capturing variations in nuclear phenotypesSundaresan Raman, Shantanu Singh, Thierry Pécot, Enrico Caserta, Kun Huang 0001, Jens Rittscher, Gustavo Leone, Raghu Machiraju. jocs, 36, 2019. [doi]

2016

Counting-Based Particle Flux Estimation for Traffic Analysis in Live Cell ImagingThierry Pécot, Charles Kervrann, Jean Salamero, Jérôme Boulanger. jstsp, 10(1):203-216, 2016. [doi]

2015

Background Fluorescence Estimation and Vesicle Segmentation in Live Cell Imaging With Conditional Random FieldsThierry Pécot, Patrick Bouthemy, Jérôme Boulanger, Anatole Chessel, Sabine Bardin, Jean Salamero, Charles Kervrann. TIP, 24(2):667-680, 2015. [doi]

2014

Estimation of the flow of particles within a partition of the image domain in fluorescence video-microscopyThierry Pécot, Jérôme Boulanger, Charles Kervrann, Patrick Bouthemy, Jean Salamero. isbi 2014: 453-456 [doi]

2013

Robust detection and visualization of cytoskeletal structures in fibrillar scaffolds from 3-dimensional confocal imageDo Young Park, Desiree Jones, Nicanor I. Moldovan, Raghu Machiraju, Thierry Pécot. biovis 2013: 25-32 [doi]

Research and applications: Identifying survival associated morphological features of triple negative breast cancer using multiple datasetsChao Wang, Thierry Pécot, Debra L. Zynger, Raghu Machiraju, Charles L. Shapiro, Kun Huang. jamia, 20(4):680-687, 2013. [doi]

2012

A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq dataZhi Han, Lu Tian, Thierry Pécot, Tim Hui-Ming Huang, Raghu Machiraju, Kun Huang. bmcbi, 13(S-2), 2012. [doi]

Non parametric cell nuclei segmentation based on a tracking over depth from 3D fluorescence confocal imagesThierry Pécot, Shantanu Singh, Enrico Caserta, Kun Huang, Raghu Machiraju, Gustavo Leone. isbi 2012: 170-173 [doi]

2011

2010

Modélisation et estimation du trafic intracellulaire par tomographie de réseaux et microscopie de fluorescence. (Intracellular traffic modeling and estimation using network tomography and fluorescence microscopy)Thierry Pécot. PhD thesis, University of Rennes 1, France, 2010. [doi]

2009

Evaluation of Image Sequences Additive Decomposition Algorithms for Membrane Analysis in Fluorescence Video-MicroscopyAnatole Chessel, Thierry Pécot, Sabine Bardin, Charles Kervrann, Jean Salamero. isbi 2009: 1099-1102 [doi]

Conditional Random Fields for Object and Background Estimation in Fluorescence Video-MicroscopyThierry Pécot, Anatole Chessel, Sabine Bardin, Jean Salamero, Patrick Bouthemy, Charles Kervrann. isbi 2009: 734-737 [doi]

2008

Network Tomography-Based Tracking for Intracellular Traffic Analysis in Fluorescence Microscopy ImagingThierry Pécot, Charles Kervrann, Patrick Bouthemy. biostec 2008: 154-161

Patch-Based Markov Models for Event Detection in Fluorescence BioimagingThierry Pécot, Charles Kervrann, Sabine Bardin, Bruno Goud, Jean Salamero. miccai 2008: 95-103 [doi]

Minimal paths and probabilistic models for origin-destination traffic estimation in live cell imagingThierry Pécot, Charles Kervrann, Patrick Bouthemy. isbi 2008: 843-846 [doi]

2007

Network Tomography for Trafficking Simulation and Analysis in Fluorescence Microscopy ImagingThierry Pécot, Jérôme Boulanger, Charles Kervrann, Patrick Bouthemy. isbi 2007: 268-271 [doi]

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