Thomas Grenier

Orcid: 0000-0002-3630-5856

According to our database1, Thomas Grenier authored at least 23 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection.
IEEE Trans. Medical Imaging, November, 2023

Measurement and Quantification.
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023

2021
A More Interpretable Classifier For Multiple Sclerosis.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography.
CoRR, 2020

2019
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography.
IEEE Trans. Medical Imaging, 2019

Corrigendum to "Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy" [Comput. Biol. Med. 110 (2019) 108-119].
Comput. Biol. Medicine, 2019

Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy.
Comput. Biol. Medicine, 2019

Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC.
Proceedings of the 42nd International Convention on Information and Communication Technology, 2019

2018
Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging.
EURASIP J. Adv. Signal Process., 2018

2016
Classification of multiple sclerosis lesion evolution patterns a study based on unsupervised clustering of asynchronous time-series.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Unsupervised time-series clustering of distorted and asynchronous temporal patterns.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Unsupervised spatiotemporal video clustering a versatile mean-shift formulation robust to total object occlusions.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification.
Pattern Recognit. Lett., 2015

Locally controlled regularized spatiotemporal anisotropic diffusion.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2012
Region Growing: Adolescence and Adulthood - Two Visions of Region Growing: In Feature Space and Variational Framework.
Proceedings of the VISAPP 2012, 2012

Region Growing: When Simplicity Meets Theory - Region Growing Revisited in Feature Space and Variational Framework.
Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Application, 2012

Feature space region growing.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Color space influence on mean shift filtering.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Restoration-based iron oxide particles quantification in MR images.
Proceedings of the IEEE International Conference on Acoustics, 2010

Optimization of Mean-Shift scale parameters on the EGEE grid.
Proceedings of the Healthgrid Applications and Core Technologies, 2010

Unifying variational approach and region growing segmentation.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Towards Iron Oxide Nanoparticles Quantization in Molecular MR Images by Default Field Deconvolution.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2006
Hybrid Approach for Multiparametric Mean Shift Filtering.
Proceedings of the International Conference on Image Processing, 2006


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