Thierry Pécot

Orcid: 0000-0003-0772-9753

According to our database1, Thierry Pécot authored at least 20 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2022
Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still images.
PLoS Comput. Biol., 2022

2021
A deep learning segmentation strategy that minimizes the amount of manually annotated images.
F1000Research, 2021

2019
Capturing variations in nuclear phenotypes.
J. Comput. Sci., 2019

2016
Counting-Based Particle Flux Estimation for Traffic Analysis in Live Cell Imaging.
IEEE J. Sel. Top. Signal Process., 2016

2015
Background Fluorescence Estimation and Vesicle Segmentation in Live Cell Imaging With Conditional Random Fields.
IEEE Trans. Image Process., 2015

2014
Estimation of the flow of particles within a partition of the image domain in fluorescence video-microscopy.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Research and applications: Identifying survival associated morphological features of triple negative breast cancer using multiple datasets.
J. Am. Medical Informatics Assoc., 2013

Robust detection and visualization of cytoskeletal structures in fibrillar scaffolds from 3-dimensional confocal image.
Proceedings of the IEEE Symposium on Biological Data Visualization, 2013

2012
A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data.
BMC Bioinform., 2012

Non parametric cell nuclei segmentation based on a tracking over depth from 3D fluorescence confocal images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Multiscale NeighborhoodWise Decision Fusion for Redundancy Detection in Image Pairs.
Multiscale Model. Simul., 2011

Non-parametric Population Analysis of Cellular Phenotypes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning.
Proceedings of the Information Processing in Medical Imaging, 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).
PhD thesis, 2010

2009
Conditional Random Fields for Object and Background Estimation in Fluorescence Video-Microscopy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Evaluation of Image Sequences Additive Decomposition Algorithms for Membrane Analysis in Fluorescence Video-Microscopy.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Patch-Based Markov Models for Event Detection in Fluorescence Bioimaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Minimal paths and probabilistic models for origin-destination traffic estimation in live cell imaging.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Network Tomography-Based Tracking for Intracellular Traffic Analysis in Fluorescence Microscopy Imaging.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008

2007
Network Tomography for Trafficking Simulation and Analysis in Fluorescence Microscopy Imaging.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007


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