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Thierry Pécot
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2020 – today
- 2022
- [j7]Thierry Pécot
, Maria C. Cuitiño, Roger H. Johnson, Cynthia Timmers
Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still images. PLoS Comput. Biol. 18(3) (2022) - 2021
- [i1]Thierry Pécot
A deep learning segmentation strategy that minimizes the amount of manually annotated images. F1000Research 10: 256 (2021)
2010 – 2019
- 2019
- [j6]Sundaresan Raman, Shantanu Singh, Thierry Pécot
Capturing variations in nuclear phenotypes. J. Comput. Sci. 36 (2019) - 2016
- [j5]Thierry Pécot
Counting-Based Particle Flux Estimation for Traffic Analysis in Live Cell Imaging. IEEE J. Sel. Top. Signal Process. 10(1): 203-216 (2016) - 2015
- [j4]Thierry Pécot
Background Fluorescence Estimation and Vesicle Segmentation in Live Cell Imaging With Conditional Random Fields. IEEE Trans. Image Process. 24(2): 667-680 (2015) - 2014
- [c11]Thierry Pécot
Estimation of the flow of particles within a partition of the image domain in fluorescence video-microscopy. ISBI 2014: 453-456 - 2013
- [j3]Chao Wang, Thierry Pécot
Research and applications: Identifying survival associated morphological features of triple negative breast cancer using multiple datasets. J. Am. Medical Informatics Assoc. 20(4): 680-687 (2013) - [c10]Do Young Park, Desiree Jones, Nicanor I. Moldovan, Raghu Machiraju, Thierry Pécot:
Robust detection and visualization of cytoskeletal structures in fibrillar scaffolds from 3-dimensional confocal image. BioVis 2013: 25-32 - 2012
- [j2]Zhi Han, Lu Tian
A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data. BMC Bioinform. 13(S-2): S2 (2012) - [c9]Thierry Pécot
Non parametric cell nuclei segmentation based on a tracking over depth from 3D fluorescence confocal images. ISBI 2012: 170-173 - 2011
- [j1]Charles Kervrann, Jérôme Boulanger, Thierry Pécot, Patrick Pérez, Jean Salamero
Multiscale NeighborhoodWise Decision Fusion for Redundancy Detection in Image Pairs. Multiscale Model. Simul. 9(4): 1829-1865 (2011) - [c8]Shantanu Singh, Firdaus Janoos, Thierry Pécot
Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning. IPMI 2011: 398-410 - [c7]Shantanu Singh, Firdaus Janoos, Thierry Pécot
Non-parametric Population Analysis of Cellular Phenotypes. MICCAI (2) 2011: 343-351 - 2010
- [b1]Thierry Pécot:
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). University of Rennes 1, France, 2010
2000 – 2009
- 2009
- [c6]Thierry Pécot
Conditional Random Fields for Object and Background Estimation in Fluorescence Video-Microscopy. ISBI 2009: 734-737 - [c5]Anatole Chessel, Thierry Pécot, Sabine Bardin, Charles Kervrann, Jean Salamero
Evaluation of Image Sequences Additive Decomposition Algorithms for Membrane Analysis in Fluorescence Video-Microscopy. ISBI 2009: 1099-1102 - 2008
- [c4]Thierry Pécot, Charles Kervrann, Patrick Bouthemy:
Network Tomography-Based Tracking for Intracellular Traffic Analysis in Fluorescence Microscopy Imaging. BIOSIGNALS (1) 2008: 154-161 - [c3]Thierry Pécot
Minimal paths and probabilistic models for origin-destination traffic estimation in live cell imaging. ISBI 2008: 843-846 - [c2]Thierry Pécot
Patch-Based Markov Models for Event Detection in Fluorescence Bioimaging. MICCAI (2) 2008: 95-103 - 2007
- [c1]Thierry Pécot
Network Tomography for Trafficking Simulation and Analysis in Fluorescence Microscopy Imaging. ISBI 2007: 268-271
Coauthor Index
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