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David Rousseau

Showing results (41-50 of 105) with videos related to

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JAMA|November 2, 2016
Medicare and End-of-Life CareShannon Griffin, Juliette Cubanski, Tricia Neuman, et al.
Sensors (Basel, Switzerland)|March 7, 2019
Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring-An OverviewGamal ElMasry, Nasser Mandour, Salim Al-Rejaie, et al.
Plant Phenomics (Washington, D.C.)|January 19, 2024
GenoDrawing: An Autoencoder Framework for Image Prediction from SNP MarkersFederico Jurado-Ruiz, David Rousseau, Juan A Botía, et al.
Medical Physics|February 25, 2009
Localization of transient signal high-values in laser Doppler flowmetry signals with an empirical mode decompositionAnne Humeau, Wojciech Trzepizur, David Rousseau, et al.
Plant Methods|August 4, 2020
Deep learning-based detection of seedling developmentSalma Samiei, Pejman Rasti, Joseph Ly Vu, et al.
Health Affairs (Project Hope)|March 9, 2006
Can States stretch the Medicaid dollar without passing the buck? Lessons from UtahSamantha Artiga, David Rousseau, Barbara Lyons, et al.
Physics in Medicine and Biology|August 30, 2008
Fisher information and Shannon entropy for on-line detection of transient signal high-values in laser Doppler flowmetry signals of healthy subjectsAnne Humeau, Wojciech Trzepizur, David Rousseau, et al.
IEEE Transactions on Bio-Medical Engineering|June 30, 2011
Multiscale analysis of microvascular blood flow: a multiscale entropy study of laser Doppler flowmetry time seriesAnne Humeau, Guillaume Mahé, François Chapeau-Blondeau, et al.
Journal of Biomedical Optics|September 26, 2018
Nonlinear relation between concentration and fluorescence emission of protoporphyrin IX in calibrated phantomsLaure Alston, David Rousseau, Mathieu Hebert, et al.
Plant Methods|May 6, 2024
Toward robust and high-throughput detection of seed defects in X-ray images via deep learningSherif Hamdy, Aurélie Charrier, Laurence Le Corre, et al.
Pageof 11

Showing results (41-50 of 105) with videos related to

Sort By:
Pageof 11
JAMA|November 2, 2016
Medicare and End-of-Life CareShannon Griffin, Juliette Cubanski, Tricia Neuman, et al.
Sensors (Basel, Switzerland)|March 7, 2019
Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring-An OverviewGamal ElMasry, Nasser Mandour, Salim Al-Rejaie, et al.
Plant Phenomics (Washington, D.C.)|January 19, 2024
GenoDrawing: An Autoencoder Framework for Image Prediction from SNP MarkersFederico Jurado-Ruiz, David Rousseau, Juan A Botía, et al.
Medical Physics|February 25, 2009
Localization of transient signal high-values in laser Doppler flowmetry signals with an empirical mode decompositionAnne Humeau, Wojciech Trzepizur, David Rousseau, et al.
Plant Methods|August 4, 2020
Deep learning-based detection of seedling developmentSalma Samiei, Pejman Rasti, Joseph Ly Vu, et al.
Health Affairs (Project Hope)|March 9, 2006
Can States stretch the Medicaid dollar without passing the buck? Lessons from UtahSamantha Artiga, David Rousseau, Barbara Lyons, et al.
Physics in Medicine and Biology|August 30, 2008
Fisher information and Shannon entropy for on-line detection of transient signal high-values in laser Doppler flowmetry signals of healthy subjectsAnne Humeau, Wojciech Trzepizur, David Rousseau, et al.
IEEE Transactions on Bio-Medical Engineering|June 30, 2011
Multiscale analysis of microvascular blood flow: a multiscale entropy study of laser Doppler flowmetry time seriesAnne Humeau, Guillaume Mahé, François Chapeau-Blondeau, et al.
Journal of Biomedical Optics|September 26, 2018
Nonlinear relation between concentration and fluorescence emission of protoporphyrin IX in calibrated phantomsLaure Alston, David Rousseau, Mathieu Hebert, et al.
Plant Methods|May 6, 2024
Toward robust and high-throughput detection of seed defects in X-ray images via deep learningSherif Hamdy, Aurélie Charrier, Laurence Le Corre, et al.
Pageof 11