Thomas Grenier

30 papers B 4Misc 3Journal 11Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A generative adversarial optimization strategy for predicting counterfactual trajectories of grey matter atrophy. Comput. Methods Programs Biomed. Berardino Barile, Enyi Chen, Thomas Grenier, Dominique Sappey-Marinier
2025	—	`conf`	DALL-E Brain: Generating 2D T1-w, T2-w, and FLAIR Brain MRI Images from Textual Prompts. EUSIPCO Souhail El-Allaly, Thomas Grenier, Chantal Revol-Muller
2025	J	`jnl`	Explainable monotonic networks and constrained learning for interpretable classification and weakly supervised anomaly detection. Pattern Recognit. Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
2024	—	`conf`	An unexpected confounder: how brain shape can be used to classify MRI scans ? MIDL Valentine Wargnier-Dauchelle, Thomas Grenier, Michaël Sdika
2024	J	`jnl`	CT-guided spatial normalization of nuclear hybrid imaging adapted to enlarged ventricles: Impact on striatal uptake quantification. NeuroImage Alae Eddine El Barkaoui, Christian Scheiber, Thomas Grenier, Marc Janier, Anthime Flaus
2024	J	`jnl`	Enhanced segmentation of femoral bone metastasis in CT scans of patients using synthetic data generation with 3D diffusion models. CoRR Emile Saillard, Aurelie Levillain, David Mitton, Jean-Baptiste Pialat, Cyrille B. Confavreux, Hélène Follet, Thomas Grenier
2023	J	`jnl`	A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection. IEEE Trans. Medical Imaging Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
2023	—	`book`	Approches non-supervisées et supervisées de filtrage et segmentation pour l'analyse longitudinale en imagerie médicale. (Unsupervised and supervised filtering and segmentation approaches for longitudinal analysis in medical imaging). Thomas Grenier
2023	—	`ch.`	Measurement and Quantification. AI and Big Data in Cardiology Olivier Bernard, Bram Ruijsink, Thomas Grenier, Mathieu De Craene
2021	—	`conf`	A More Interpretable Classifier For Multiple Sclerosis. ISBI Valentine Wargnier-Dauchelle, Thomas Grenier, Françoise Durand-Dubief, François Cotton, Michaël Sdika
2020	J	`jnl`	LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR 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
2019	J	`jnl`	Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy. Comput. Biol. Medicine Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon
2019	J	`jnl`	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 Clément Daviller, Thomas Grenier, Hélène Ratiney, Michaël Sdika, Pierre Croisille, Magalie Viallon
2019	J	`jnl`	Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 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
2019	—	`conf`	Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC. MIPRO Sorina Camarasu-Pop, Carole Lartizien, Thomas Grenier, Axel Bonnet, Pascal Wassong, Vanessa Hamar, Fabio Hernandez, Luisa Arrabito, Johan Bregeon, Pierre Gay, Andrei Tsaregorodtsev
2018	J	`jnl`	Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging. EURASIP J. Adv. Signal Process. Aneline Dolet, François Varray, Simon Mure, Thomas Grenier, Yubin Liu, Zhen Yuan, Piero Tortoli, Didier Vray
2016	—	`conf`	Classification of multiple sclerosis lesion evolution patterns a study based on unsupervised clustering of asynchronous time-series. ISBI Simon Mure, Thomas Grenier, Charles R. G. Guttmann, François Cotton, Hugues Benoit-Cattin
2016	Misc	`conf`	Unsupervised spatiotemporal video clustering a versatile mean-shift formulation robust to total object occlusions. ICASSP Simon Mure, Thomas Grenier, Hugues Benoit-Cattin
2016	Misc	`conf`	Unsupervised time-series clustering of distorted and asynchronous temporal patterns. ICASSP Simon Mure, Thomas Grenier, Charles R. G. Guttmann, Hugues Benoit-Cattin
2015	B	`conf`	Locally controlled regularized spatiotemporal anisotropic diffusion. ICIP Pierre Portejoie, Simon Mure, Hugues Benoit-Cattin, Thomas Grenier
2015	J	`jnl`	Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification. Pattern Recognit. Lett. Simon Mure, Thomas Grenier, Dominik S. Meier, Charles R. G. Guttmann, Hugues Benoit-Cattin
2012	B	`conf`	Feature space region growing. ICIP Chantal Revol-Muller, Thomas Grenier, Ting Li, Hugues Benoit-Cattin
2012	—	`conf`	Region Growing: Adolescence and Adulthood - Two Visions of Region Growing: In Feature Space and Variational Framework. VISAPP (1) Chantal Revol-Muller, Thomas Grenier, Jean-Loïc Rose, Alexandra Pacureanu, Françoise Peyrin, Christophe Odet
2012	—	`conf`	Region Growing: When Simplicity Meets Theory - Region Growing Revisited in Feature Space and Variational Framework. VISIGRAPP (Selected Papers) Chantal Revol-Muller, Thomas Grenier, Jean-Loïc Rose, Alexandra Pacureanu, Françoise Peyrin, Christophe Odet
2011	B	`conf`	Color space influence on mean shift filtering. ICIP Ting Li, Thomas Grenier, Hugues Benoit-Cattin
2010	—	`conf`	Optimization of Mean-Shift scale parameters on the EGEE grid. HealthGrid Ting Li, Sorina Camarasu-Pop, Tristan Glatard, Thomas Grenier, Hugues Benoit-Cattin
2010	Misc	`conf`	Restoration-based iron oxide particles quantification in MR images. ICASSP Delphine Charpigny, Thomas Grenier, Christophe Odet, Hugues Benoit-Cattin
2010	—	`conf`	Unifying variational approach and region growing segmentation. EUSIPCO Jean-Loïc Rose, Thomas Grenier, Chantal Revol-Muller, Christophe Odet
2009	—	`conf`	Towards Iron Oxide Nanoparticles Quantization in Molecular MR Images by Default Field Deconvolution. ISBI Delphine Charpigny, Thomas Grenier, Christophe Odet, Hugues Benoit-Cattin
2006	B	`conf`	Hybrid Approach for Multiparametric Mean Shift Filtering. ICIP Thomas Grenier, Chantal Revol-Muller, Gérard Gimenez