Thomas Grenier
Thomas Grenier
CREATIS Unité CNRS UMR 5220 – INSERM U1294 – Université Lyon 1 – INSA Lyon
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Deep learning for segmentation using an open large-scale dataset in 2D echocardiography
S Leclerc, E Smistad, J Pedrosa, A Østvik, F Cervenansky, F Espinosa, ...
IEEE transactions on medical imaging 38 (9), 2198-2210, 2019
New OFSEP recommendations for MRI assessment of multiple sclerosis patients: special consideration for gadolinium deposition and frequent acquisitions
JC Brisset, S Kremer, S Hannoun, F Bonneville, F Durand-Dubief, ...
Journal of Neuroradiology 47 (4), 250-258, 2020
Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI
P Roca, A Attye, L Colas, A Tucholka, P Rubini, S Cackowski, J Ding, ...
Diagnostic and Interventional Imaging 101 (12), 795-802, 2020
Fast electron tomography: Applications to beam sensitive samples and in situ TEM or operando environmental TEM studies
S Koneti, L Roiban, F Dalmas, C Langlois, AS Gay, A Cabiac, T Grenier, ...
Materials Characterization 151, 480-495, 2019
A fully automatic and multi-structural segmentation of the left ventricle and the myocardium on highly heterogeneous 2D echocardiographic data
S Leclerc, T Grenier, F Espinosa, O Bernard
2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 2017
LU-Net: a multistage attention network to improve the robustness of segmentation of left ventricular structures in 2-D echocardiography
S Leclerc, E Smistad, A Østvik, F Cervenansky, F Espinosa, T Espeland, ...
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 …, 2020
RU-Net: A refining segmentation network for 2D echocardiography
S Leclerc, E Smistad, T Grenier, C Lartizien, A Ostvik, F Cervenansky, ...
2019 IEEE International Ultrasonics Symposium (IUS), 1160-1163, 2019
Evaluation of noise and blur effects with SIRT-FISTA-TV reconstruction algorithm: Application to fast environmental transmission electron tomography
H Banjak, T Grenier, T Epicier, S Koneti, L Roiban, AS Gay, I Magnin, ...
Ultramicroscopy 189, 109-123, 2018
A pilot study on convolutional neural networks for motion estimation from ultrasound images
E Evain, K Faraz, T Grenier, D Garcia, M De Craene, O Bernard
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020
Unifying variational approach and region growing segmentation
JL Rose, T Grenier, C Revol-Muller, C Odet
2010 18th European Signal Processing Conference, 1781-1785, 2010
3D robust adaptive region growing for segmenting [18F] fluoride ion PET images
T Grenier, C Revol-Muller, N Costes, M Janier, G Gimenez
2006 IEEE Nuclear Science Symposium Conference Record 5, 2644-2648, 2006
Unsupervised spatio-temporal filtering of image sequences. a mean-shift specification
S Mure, T Grenier, DS Meier, CRG Guttmann, H Benoit-Cattin
Pattern Recognition Letters 68, 48-55, 2015
Hybrid approach for multiparametric mean shift filtering
T Grenier, C Revol-Muller, G Gimenez
2006 International Conference on Image Processing, 1541-1544, 2006
Deep learning applied to Multi-Structure segmentation in 2D echocardiography: A preliminary investigation of the required database size
S Leclerc, E Smistad, T Grenier, C Lartizien, A Ostvik, F Espinosa, ...
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
Automated seeds location for whole body NaF PET segmentation
T Grenier, C Revol-Muller, N Costes, M Janier, G Gimenez
IEEE transactions on nuclear science 52 (5), 1401-1405, 2005
Deep learning detection of nanoparticles and multiple object tracking of their dynamic evolution during in situ ETEM studies
K Faraz, T Grenier, C Ducottet, T Epicier
Scientific Reports 12 (1), 2484, 2022
Quantitative magnetic resonance imaging assessment of the quadriceps changes during an extreme mountain ultramarathon
HT Nguyen, T Grenier, B Leporq, C Le Goff, B Gilles, S Grange, R Grange, ...
Medicine and Science in Sports and Exercise 53 (4), 869-881, 2021
Optimization of Mean-Shift scale parameters on the EGEE grid.
T Li, S Camarasu-Pop, T Glatard, T Grenier, H Benoit-Cattin
HealthGrid, 203-214, 2010
A more interpretable classifier for multiple sclerosis
V Wargnier-Dauchelle, T Grenier, F Durand-Dubief, F Cotton, M Sdika
2021 IEEE 18th international symposium on biomedical imaging (ISBI), 1062-1066, 2021
Region growing: When simplicity meets theory–region growing revisited in feature space and variational framework
C Revol-Muller, T Grenier, JL Rose, A Pacureanu, F Peyrin, C Odet
Computer Vision, Imaging and Computer Graphics. Theory and Application: 7th …, 2013
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