David ROUSSEAU

David ROUSSEAU

Université d'Angers

H-index: 33

Europe-France

About David ROUSSEAU

David ROUSSEAU, With an exceptional h-index of 33 and a recent h-index of 22 (since 2020), a distinguished researcher at Université d'Angers, specializes in the field of signal and image processing, bioimaging, plant phenotyping.

His recent articles reflect a diverse array of research interests and contributions to the field:

Toward more collaborative deep learning project management in plant phenotyping

Superpixels meet essential spectra for fast Raman hyperspectral microimaging

Transfer learning from indoor to outdoor in cultivar testing: application to russeting detection

Exact Rényi and Kullback-Leibler Divergences Between Multivariate t -Distributions

Difficulty metrics study for curriculum-based deep learning in the context of stroke lesion segmentation

Automatic apple detection in orchards with computer vision and machine learning

Graph modeling of cellular porosity in dentin

Attention-based Fusion of Ultra-short Voice Utterances and Depth Videos for Multi-Modal Person Identification

David ROUSSEAU Information

University

Position

France (former Université Lyon 1)

Citations(all)

4055

Citations(since 2020)

1955

Cited By

2765

hIndex(all)

33

hIndex(since 2020)

22

i10Index(all)

98

i10Index(since 2020)

53

Email

University Profile Page

Université d'Angers

Google Scholar

View Google Scholar Profile

David ROUSSEAU Skills & Research Interests

signal and image processing

bioimaging

plant phenotyping

Top articles of David ROUSSEAU

Title

Journal

Author(s)

Publication Date

Toward more collaborative deep learning project management in plant phenotyping

Herearii Metuarea

David Rousseau

2024

Superpixels meet essential spectra for fast Raman hyperspectral microimaging

Optics Express

Valentin Gilet

Guillaume Mabilleau

Matthieu Loumaigne

Laureen Coic

Raffaele Vitale

...

2024/1/1

Transfer learning from indoor to outdoor in cultivar testing: application to russeting detection

Acta Horticulturae

M El Abidine

Helin Dutagaci

D Rousseau

2023

Exact Rényi and Kullback-Leibler Divergences Between Multivariate t -Distributions

IEEE Signal Processing Letters

Nizar Bouhlel

David Rousseau

2023

Difficulty metrics study for curriculum-based deep learning in the context of stroke lesion segmentation

Juliette Moreau

Laura Mechtouff

David Rousseau

Tae-Hee Cho

Yves Berthezène

...

2023

Automatic apple detection in orchards with computer vision and machine learning

M Zine El Abidine

A Ahmad

H Dutagaci

D Rousseau

2023/8/9

Graph modeling of cellular porosity in dentin

Lucas Chatelain

Elsa Vennat

Nicolas Tremblay

David Rousseau

Aurélien Gourrier

2023/11/28

Attention-based Fusion of Ultra-short Voice Utterances and Depth Videos for Multi-Modal Person Identification

Sensors

A. Moufidi

D. Rousseau

P. Rasti

2023

On the importance of non-Gaussianity in Chlorophyll Fluorescence Imaging

Remote Sensing

Angelina Elghaziri

Nizar Bouhlel

Natalia Sapoukhina

David Rousseau

2023

Assessment of essential information in the Fourier domain to accelerate Raman hyperspectral microimaging

Analytical Chemistry

Laureen Coic

Raffaele Vitale

Myriam Moreau

David Rousseau

José Henrique de Morais Goulart

...

2023

PLANesT-3D: A New Annotated Data Set of 3D Color Point Clouds of Plants

Kerem Mertoğlu

Yusuf Şalk

Server Karahan Sarıkaya

Kaya Turgut

Yasemin Evrenosoğlu

...

2023/7/5

Toward more frugal models for functional cerebral networks automatic recognition with resting state fMRI

arXiv preprint arXiv:2307.01953

Lukman Ismaila

Pejman Rasti

Jean-Michel Lemée

David Rousseau

2023/7/4

Robustness of 3D point-based deep learning for plant organ segmentation against point density variation and noise

David Rousseau

Kaya Turgut

Helin Dutagaci

2023/2/13

GenoDrawing: An autoencoder framework for image prediction from SNP markers

Plant Phenomics

Federico Jurado Ruiz

David Rousseau

Juan A. Botia

Maria Jose Aranzana

2023

A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data

Nima Hatami

Laura Mechtouff

David Rousseau

Tae-Hee Cho

Omer Eker

...

2023/4/18

Parameter Estimation of the Normal ratio distribution with Variational Inference

Nizar Bouhlel

Félix Mercier

Angelina ElGhazhiri

David Rousseau

2023

Quantitative Analysis of PcG-Associated Condensates by Stochastic Optical Reconstruction Microscopy (STORM)

Silvia Scalisi

Ali Ahmad

Sarah D’Annunzio

David Rousseau

Alessio Zippo

2023/5/23

Leaf segmentation of seedlings using foundation model on RGB-Depth images

Mathis Cordier

Herearii Metuarea

Meriem Bencheikh

Pejman Rasti

Cindy Torrez

...

2023

On the use of circadian cycles to monitor individual young plants

Remote Sensing

Mathis Cordier

Cindy Torres

Pejman Rasti

David Rousseau

2023/5/23

Ordinalysis: Interpretability of Multidimensional Ordinal Data

SoftwareX

M. Zine El Abidine

H. Dutagaci

D. Rousseau

2023

See List of Professors in David ROUSSEAU University(Université d'Angers)