Thomas Grenier
Orcid: 0000-0002-3630-5856
According to our database1,
Thomas Grenier
authored at least 26 papers
between 2006 and 2025.
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Bibliography
2025
Explainable monotonic networks and constrained learning for interpretable classification and weakly supervised anomaly detection.
Pattern Recognit., 2025
2024
CT-guided spatial normalization of nuclear hybrid imaging adapted to enlarged ventricles: Impact on striatal uptake quantification.
NeuroImage, 2024
Enhanced segmentation of femoral bone metastasis in CT scans of patients using synthetic data generation with 3D diffusion models.
CoRR, 2024
2023
A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection.
IEEE Trans. Medical Imaging, November, 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
2021
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
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
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
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the Healthgrid Applications and Core Technologies, 2010
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
Proceedings of the International Conference on Image Processing, 2006