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David Rousseau
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Publications
- 2023
- [c38]Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel:
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction Using Multimodal MRI Data. ISBI 2023: 1-5 - [c37]Juliette Moreau, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel:
Difficulty Metrics Study for Curriculum-Based Deep Learning in the Context of Stroke Lesion Segmentation. ISBI 2023: 1-5 - [i8]Nima Hatami, Laura Mechtouff, David Rousseau, Tae-Hee Cho, Omer Faruk Eker, Yves Berthezene, Carole Frindel:
A Novel Autoencoders-LSTM Model for Stroke Outcome Prediction using Multimodal MRI Data. CoRR abs/2303.09484 (2023) - 2022
- [c34]Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel:
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. EMBC 2022: 3430-3434 - [i5]Nima Hatami, Tae-Hee Cho, Laura Mechtouff, Omer Faruk Eker, David Rousseau, Carole Frindel:
CNN-LSTM Based Multimodal MRI and Clinical Data Fusion for Predicting Functional Outcome in Stroke Patients. CoRR abs/2205.05545 (2022) - 2021
- [j42]Ali Ahmad, Guillaume Vanel, Sorina Camarasu-Pop, Axel Bonnet, Carole Frindel, David Rousseau:
MicroVIP: Microscopy image simulation on the Virtual Imaging Platform. SoftwareX 16: 100854 (2021) - 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) - [j39]Ali Ahmad, Carole Frindel, David Rousseau:
Detecting Differences of Fluorescent Markers Distribution in Single Cell Microscopy: Textural or Pointillist Feature Space? Frontiers Robotics AI 7: 39 (2020) - [c26]Ali Ahmad, Carole Frindel, David Rousseau:
Sorting cells from fluorescent markers organization in confocal microscopy: 3D versus 2D images. IPTA 2020: 1-6 - 2019
- [c23]Noëlie Debs, Méghane Decroocq, Tae-Hee Cho, David Rousseau, Carole Frindel:
Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network. SASHIMI@MICCAI 2019: 151-160 - 2018
- [j32]Chloé Murtin, Carole Frindel, David Rousseau, Kei Ito:
Image processing for precise three-dimensional registration and stitching of thick high-resolution laser-scanning microscopy image stacks. Comput. Biol. Medicine 92: 22-41 (2018) - [j31]Clément Douarre, Richard Schielein, Carole Frindel, Stefan Gerth, David Rousseau:
Transfer Learning from Synthetic Data Applied to Soil-Root Segmentation in X-Ray Tomography Images. J. Imaging 4(5): 65 (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) - 2017
- [j23]Mathilde Giacalone, Carole Frindel, Emmanuel Grenier, David Rousseau:
Multicomponent and Longitudinal Imaging Seen as a Communication Channel - An Application to Stroke. Entropy 19(5): 187 (2017) - [c17]Pierre Gard, Lucie Lalanne, Alexandre Ambourg, David Rousseau, François Lesueur, Carole Frindel:
A Secured Smartphone-Based Architecture for Prolonged Monitoring of Neurological Gait. HealthyIoT 2017: 3-9 - [c16]Carole Frindel, David Rousseau:
How Accurate Are Smartphone Accelerometers to Identify Intermittent Claudication? HealthyIoT 2017: 19-25 - 2016
- [c14]Mathilde Giacalone, Carole Frindel, David Rousseau:
An unsupervised spatio-temporal regularization for perfusion MRI deconvolution in acute stroke. EUSIPCO 2016: 1708-1712 - [c11]Mathilde Giacalone, Carole Frindel, Marc C. Robini, David Rousseau:
Interest of non-negativity constraint in perfusion DSC-MRI deconvolution for acute stroke. IWSSIP 2016: 1-4 - 2015
- [c9]Claudio Stamile, Gabriel Kocevar, François Cotton, Salem Hannoun, Françoise Durand-Dubief, Carole Frindel, David Rousseau, Dominique Sappey-Marinier:
A longitudinal model for variations detection in white matter fiber-bundles. IWSSIP 2015: 57-60 - 2014
- [j16]Carole Frindel, Marc C. Robini, David Rousseau:
A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain. Medical Image Anal. 18(1): 144-160 (2014)
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