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Pejman Rasti

Showing results (1-10 of 14) with videos related to

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Sensors (Basel, Switzerland)|December 28, 2021
Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep LearningHadhami Garbouge, Pejman Rasti, David Rousseau
Sensors (Basel, Switzerland)|July 14, 2023
Attention-Based Fusion of Ultrashort Voice Utterances and Depth Videos for Multimodal Person IdentificationAbderrazzaq Moufidi, David Rousseau, Pejman Rasti
Plant Methods|March 12, 2020
ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methodsHelin Dutagaci, Pejman Rasti, Gilles Galopin, et al.
Plant Phenomics (Washington, D.C.)|July 18, 2024
Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon LossMathis Cordier, Pejman Rasti, Cindy Torres, et al.
Sensors (Basel, Switzerland)|July 31, 2020
Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple DetectionSalma Samiei, Pejman Rasti, Paul Richard, 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.
Applied Optics|February 3, 2016
Dielectric elastomer stack actuator-based autofocus fluid lensPejman Rasti, Henry Hous, Helmut F Schlaak, et al.
Plant Methods|August 4, 2020
Deep learning-based detection of seedling developmentSalma Samiei, Pejman Rasti, Joseph Ly Vu, et al.
Computers in Biology and Medicine|January 31, 2020
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute strokeNoëlie Debs, Pejman Rasti, Léon Victor, et al.
Scientific Reports|December 29, 2019
Machine Learning-Based Classification of the Health State of Mice Colon in Cancer Study from Confocal Laser EndomicroscopyPejman Rasti, Christian Wolf, Hugo Dorez, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|December 28, 2021
Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep LearningHadhami Garbouge, Pejman Rasti, David Rousseau
Sensors (Basel, Switzerland)|July 14, 2023
Attention-Based Fusion of Ultrashort Voice Utterances and Depth Videos for Multimodal Person IdentificationAbderrazzaq Moufidi, David Rousseau, Pejman Rasti
Plant Methods|March 12, 2020
ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methodsHelin Dutagaci, Pejman Rasti, Gilles Galopin, et al.
Plant Phenomics (Washington, D.C.)|July 18, 2024
Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon LossMathis Cordier, Pejman Rasti, Cindy Torres, et al.
Sensors (Basel, Switzerland)|July 31, 2020
Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple DetectionSalma Samiei, Pejman Rasti, Paul Richard, 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.
Applied Optics|February 3, 2016
Dielectric elastomer stack actuator-based autofocus fluid lensPejman Rasti, Henry Hous, Helmut F Schlaak, et al.
Plant Methods|August 4, 2020
Deep learning-based detection of seedling developmentSalma Samiei, Pejman Rasti, Joseph Ly Vu, et al.
Computers in Biology and Medicine|January 31, 2020
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute strokeNoëlie Debs, Pejman Rasti, Léon Victor, et al.
Scientific Reports|December 29, 2019
Machine Learning-Based Classification of the Health State of Mice Colon in Cancer Study from Confocal Laser EndomicroscopyPejman Rasti, Christian Wolf, Hugo Dorez, et al.
Pageof 2