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David Rousseau
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Publications
- 2023
- [j53]Mathis Cordier, Cindy Torres, Pejman Rasti, David Rousseau:
On the Use of Circadian Cycles to Monitor Individual Young Plants. Remote. Sens. 15(11): 2704 (2023) - [j52]Abderrazzaq Moufidi, David Rousseau, Pejman Rasti:
Attention-Based Fusion of Ultrashort Voice Utterances and Depth Videos for Multimodal Person Identification. Sensors 23(13): 5890 (2023) - [j50]Geoffroy Couasnet, Mathis Cordier, Hadhami Garbouge, Félix Mercier, David Pierre, Angelina El Ghaziri, Pejman Rasti, David Rousseau:
Growth Data - An automatic solution for seedling growth analysis via RGB-Depth imaging sensors. SoftwareX 24: 101572 (2023) - [i7]Lukman E. Ismaila, Pejman Rasti, Jean-Michel Lemée, David Rousseau:
Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI. CoRR abs/2307.01953 (2023) - 2022
- [c35]Abderrazzaq Moufidi, David Rousseau, Pejman Rasti:
Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification. ANNPR 2022: 97-106 - [c32]Lukman E. Ismaila, Pejman Rasti, Jean-Michel Lemée, David Rousseau:
Self-Supervised Learning for Functional Brain Networks identification in fMRI from Healthy to Unhealthy Patients. SITIS 2022: 362-367 - 2021
- [j43]Hadhami Garbouge, Pejman Rasti, David Rousseau:
Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep Learning. Sensors 21(24): 8425 (2021) - [c29]Hadhami Garbouge, Pejman Rasti, David Rousseau:
Deep Learning-Based Detection of Seedling Development from Indoor to Outdoor. IWSSIP 2021: 121-131 - 2020
- [j40]Noëlie Debs, Pejman Rasti, Léon Victor, Tae-Hee Cho, Carole Frindel, David Rousseau:
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke. Comput. Biol. Medicine 116: 103579 (2020) - [j38]Salma Samiei, Pejman Rasti, Paul Richard, Gilles Galopin, David Rousseau:
Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple Detection. Sensors 20(15): 4173 (2020) - [c27]Mouad Zine El Abidine, Sabine Merdinoglu-Wiedemann, Pejman Rasti, Helin Dutagaci, David Rousseau:
Machine Learning-Based Classification of Powdery Mildew Severity on Melon Leaves. ICISP 2020: 74-81 - 2019
- [j34]Pejman Rasti, Ali Ahmad, Salma Samiei, Étienne Belin, David Rousseau:
Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density. Remote. Sens. 11(3): 249 (2019) - [c25]Natalia Sapoukhina, Salma Samiei, Pejman Rasti, David Rousseau:
Data Augmentation From RGB to Chlorophyll Fluorescence Imaging Application to Leaf Segmentation of Arabidopsis thaliana From Top View Images. CVPR Workshops 2019: 2563-2570 - 2018
- [j29]Mathilde Giacalone, Pejman Rasti, Noëlie Debs, Carole Frindel, Tae-Hee Cho, Emmanuel Grenier, David Rousseau:
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke. Medical Image Anal. 50: 117-126 (2018) - [j27]Salma Samiei, Pejman Rasti, Hervé Daniel, Étienne Belin, Paul Richard, David Rousseau:
Toward a Computer Vision Perspective on the Visual Impact of Vegetation in Symmetries of Urban Environments. Symmetry 10(12): 666 (2018) - [c22]Pejman Rasti, Didier Demilly, Landry Benoit, Étienne Belin, Sylvie Ducournau, François Chapeau-Blondeau, David Rousseau:
Low-cost vision machine for high-throughput automated monitoring of heterotrophic seedling growth on wet paper support. BMVC 2018: 323 - 2017
- [c18]Denis Bujoreanu, Pejman Rasti, David Rousseau:
On the value of graph-based segmentation for the analysis of structural networks in life sciences. EUSIPCO 2017: 2664-2668
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