Hybrid Approach for Multiparametric Mean Shift Filtering. - Thomas Grenier; Chantal Revol-Muller; Gérard Gimenez (ICIP, 2006)

Towards Iron Oxide Nanoparticles Quantization in Molecular MR Images by Default Field Deconvolution. - Delphine Charpigny; Thomas Grenier; Christophe Odet; Hugues Benoit-Cattin (ISBI, 2009)

Unifying variational approach and region growing segmentation. - Jean-Loïc Rose; Thomas Grenier; Chantal Revol-Muller; Christophe Odet (EUSIPCO, 2010)

Optimization of Mean-Shift scale parameters on the EGEE grid. - Ting Li; Sorina Camarasu-Pop; Tristan Glatard; Thomas Grenier; Hugues Benoit-Cattin (HealthGrid, 2010)

Restoration-based iron oxide particles quantification in MR images. - Delphine Charpigny; Thomas Grenier; Christophe Odet; Hugues Benoit-Cattin (ICASSP, 2010)

Color space influence on mean shift filtering. - Ting Li; Thomas Grenier; Hugues Benoit-Cattin (ICIP, 2011)

Feature space region growing. - Chantal Revol-Muller; Thomas Grenier; Ting Li; Hugues Benoit-Cattin (ICIP, 2012)

Region Growing: When Simplicity Meets Theory - Region Growing Revisited in Feature Space and Variational Framework. - Chantal Revol-Muller; Thomas Grenier; Jean-Loïc Rose; Alexandra Pacureanu; Françoise Peyrin; Christophe Odet (VISIGRAPP (Selected Papers), 2012)

Region Growing: Adolescence and Adulthood - Two Visions of Region Growing: In Feature Space and Variational Framework. - Chantal Revol-Muller; Thomas Grenier; Jean-Loïc Rose; Alexandra Pacureanu; Françoise Peyrin; Christophe Odet (VISAPP (1), 2012)

Locally controlled regularized spatiotemporal anisotropic diffusion. - Pierre Portejoie; Simon Mure; Hugues Benoit-Cattin; Thomas Grenier (ICIP, 2015)

Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification. - Simon Mure; Thomas Grenier; Dominik S. Meier; Charles R. G. Guttmann; Hugues Benoit-Cattin (Pattern Recognit. Lett., 2015)

Unsupervised spatiotemporal video clustering a versatile mean-shift formulation robust to total object occlusions. - Simon Mure; Thomas Grenier; Hugues Benoit-Cattin (ICASSP, 2016)

Unsupervised time-series clustering of distorted and asynchronous temporal patterns. - Simon Mure; Thomas Grenier; Charles R. G. Guttmann; Hugues Benoit-Cattin (ICASSP, 2016)

Classification of multiple sclerosis lesion evolution patterns a study based on unsupervised clustering of asynchronous time-series. - Simon Mure; Thomas Grenier; Charles R. G. Guttmann; François Cotton; Hugues Benoit-Cattin (ISBI, 2016)

Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging. - Aneline Dolet; François Varray; Simon Mure; Thomas Grenier; Yubin Liu; Zhen Yuan; Piero Tortoli; Didier Vray (EURASIP J. Adv. Signal Process., 2018)

Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC. - Sorina Camarasu-Pop; Carole Lartizien; Thomas Grenier; Axel Bonnet; Pascal Wassong; Vanessa Hamar; Fabio Hernandez; Luisa Arrabito; Johan Bregeon; Pierre Gay; Andrei Tsaregorodtsev (MIPRO, 2019)

Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy. - Clément Daviller; Thomas Grenier; Hélène Ratiney; Michaël Sdika; Pierre Croisille; Magalie Viallon (Comput. Biol. Medicine, 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]. - Clément Daviller; Thomas Grenier; Hélène Ratiney; Michaël Sdika; Pierre Croisille; Magalie Viallon (Comput. Biol. Medicine, 2019)

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

LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. - 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 001 (CoRR, 2020)

A More Interpretable Classifier For Multiple Sclerosis. - Valentine Wargnier-Dauchelle; Thomas Grenier; Françoise Durand-Dubief; François Cotton; Michaël Sdika (ISBI, 2021)

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)

Measurement and Quantification. - Olivier Bernard 001; Bram Ruijsink; Thomas Grenier; Mathieu De Craene (AI and Big Data in Cardiology, 2023)

A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection. - Valentine Wargnier-Dauchelle; Thomas Grenier; Françoise Durand-Dubief; François Cotton; Michaël Sdika (IEEE Trans. Medical Imaging, 2023)

An unexpected confounder: how brain shape can be used to classify MRI scans ? - Valentine Wargnier-Dauchelle; Thomas Grenier; Michaël Sdika (MIDL, 2024)

Enhanced segmentation of femoral bone metastasis in CT scans of patients using synthetic data generation with 3D diffusion models. - Emile Saillard; Aurelie Levillain; David Mitton; Jean-Baptiste Pialat; Cyrille B. Confavreux; Hélène Follet; Thomas Grenier (CoRR, 2024)

CT-guided spatial normalization of nuclear hybrid imaging adapted to enlarged ventricles: Impact on striatal uptake quantification. - Alae Eddine El Barkaoui; Christian Scheiber; Thomas Grenier; Marc Janier; Anthime Flaus (NeuroImage, 2024)

Explainable monotonic networks and constrained learning for interpretable classification and weakly supervised anomaly detection. - Valentine Wargnier-Dauchelle; Thomas Grenier; Françoise Durand-Dubief; François Cotton; Michaël Sdika (Pattern Recognit., 2025)