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Thomas Grenier
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2020 – today
- 2024
- [j7]Alae Eddine El Barkaoui, Christian Scheiber, Thomas Grenier, Marc Janier, Anthime Flaus:
CT-guided spatial normalization of nuclear hybrid imaging adapted to enlarged ventricles: Impact on striatal uptake quantification. NeuroImage 294: 120631 (2024) - [i2]Emile Saillard, Aurelie Levillain, David Mitton, Jean-Baptiste Pialat, Cyrille B. Confavreux, Hélène Follet, Thomas Grenier:
Enhanced segmentation of femoral bone metastasis in CT scans of patients using synthetic data generation with 3D diffusion models. CoRR abs/2409.11011 (2024) - 2023
- [j6]Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika:
A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection. IEEE Trans. Medical Imaging 42(11): 3336-3347 (2023) - [p1]Olivier Bernard, Bram Ruijsink, Thomas Grenier, Mathieu De Craene:
Measurement and Quantification. AI and Big Data in Cardiology 2023: 57-84 - 2021
- [c15]Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika:
A More Interpretable Classifier For Multiple Sclerosis. ISBI 2021: 1062-1066 - 2020
- [i1]Sarah Leclerc, Erik Smistad, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Thomas Grenier, Carole Lartizien, Pierre-Marc Jodoin, Lasse Løvstakken, Olivier Bernard:
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR abs/2004.02043 (2020)
2010 – 2019
- 2019
- [j5]Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon:
Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy. Comput. Biol. Medicine 110: 108-119 (2019) - [j4]Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon:
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 114 (2019) - [j3]Sarah Leclerc, Erik Smistad, João Pedrosa, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Pierre-Marc Jodoin, Thomas Grenier, Carole Lartizien, Jan D'hooge, Lasse Løvstakken, Olivier Bernard:
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 38(9): 2198-2210 (2019) - [c14]Sorina Camarasu-Pop, Carole Lartizien, Thomas Grenier, Axel Bonnet, Pascal Wassong, Vanessa Hamar, Fabio Hernandez, Luisa Arrabito, Johan Bregeon, Pierre Gay, Andrei Tsaregorodtsev:
Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC. MIPRO 2019: 190-195 - 2018
- [j2]Aneline Dolet, François Varray, Simon Mure, Thomas Grenier, Yubin Liu, Zhen Yuan, Piero Tortoli, Didier Vray:
Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging. EURASIP J. Adv. Signal Process. 2018: 39 (2018) - 2016
- [c13]Simon Mure, Thomas Grenier, Charles R. G. Guttmann, Hugues Benoit-Cattin:
Unsupervised time-series clustering of distorted and asynchronous temporal patterns. ICASSP 2016: 1263-1267 - [c12]Simon Mure, Thomas Grenier, Hugues Benoit-Cattin:
Unsupervised spatiotemporal video clustering a versatile mean-shift formulation robust to total object occlusions. ICASSP 2016: 1536-1540 - [c11]Simon Mure, Thomas Grenier, Charles R. G. Guttmann, François Cotton, Hugues Benoit-Cattin:
Classification of multiple sclerosis lesion evolution patterns a study based on unsupervised clustering of asynchronous time-series. ISBI 2016: 1315-1319 - 2015
- [j1]Simon Mure, Thomas Grenier, Dominik S. Meier, Charles R. G. Guttmann, Hugues Benoit-Cattin:
Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification. Pattern Recognit. Lett. 68: 48-55 (2015) - [c10]Pierre Portejoie, Simon Mure, Hugues Benoit-Cattin, Thomas Grenier:
Locally controlled regularized spatiotemporal anisotropic diffusion. ICIP 2015: 4823-4827 - 2012
- [c9]Chantal Revol-Muller, Thomas Grenier, Ting Li, Hugues Benoit-Cattin:
Feature space region growing. ICIP 2012: 2585-2588 - [c8]Chantal Revol-Muller, Thomas Grenier, Jean-Loïc Rose, Alexandra Pacureanu, Françoise Peyrin, Christophe Odet:
Region Growing: Adolescence and Adulthood - Two Visions of Region Growing: In Feature Space and Variational Framework. VISAPP (1) 2012: 286-297 - [c7]Chantal Revol-Muller, Thomas Grenier, Jean-Loïc Rose, Alexandra Pacureanu, Françoise Peyrin, Christophe Odet:
Region Growing: When Simplicity Meets Theory - Region Growing Revisited in Feature Space and Variational Framework. VISIGRAPP (Selected Papers) 2012: 426-444 - 2011
- [c6]Ting Li, Thomas Grenier, Hugues Benoit-Cattin:
Color space influence on mean shift filtering. ICIP 2011: 1469-1472 - 2010
- [c5]Jean-Loïc Rose, Thomas Grenier, Chantal Revol-Muller, Christophe Odet:
Unifying variational approach and region growing segmentation. EUSIPCO 2010: 1781-1785 - [c4]Ting Li, Sorina Camarasu-Pop, Tristan Glatard, Thomas Grenier, Hugues Benoit-Cattin:
Optimization of Mean-Shift scale parameters on the EGEE grid. HealthGrid 2010: 203-214 - [c3]Delphine Charpigny, Thomas Grenier, Christophe Odet, Hugues Benoit-Cattin:
Restoration-based iron oxide particles quantification in MR images. ICASSP 2010: 485-488
2000 – 2009
- 2009
- [c2]Delphine Charpigny, Thomas Grenier, Christophe Odet, Hugues Benoit-Cattin:
Towards Iron Oxide Nanoparticles Quantization in Molecular MR Images by Default Field Deconvolution. ISBI 2009: 137-140 - 2006
- [c1]Thomas Grenier, Chantal Revol-Muller, Gérard Gimenez:
Hybrid Approach for Multiparametric Mean Shift Filtering. ICIP 2006: 1541-1544
Coauthor Index
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