Thomas Grenier INSA LYON - CREATIS/GECNU 61 - EEA

Identifiants chercheurs

IdHAL :

thomas-grenier

ORCID :

0000-0002-3630-5856

IdRef :

100533582

ResearcherID :

http://www.researcherid.com/rid/H-4456-2014

Présentation

Laboratoire de recherche

CREATIS, Unité CNRS UMR 5220 – INSERM U1206 – Université Lyon 1 – INSA Lyon - Université Jean Monnet Saint-Etienne

Adresse du laboratoire

CREATIS, UMR CNRS 5220, Inserm U1206

Bât.Léonard de Vinci, INSA-Lyon21 Av. Jean Capelle O69621 Villeurbanne Cedex, France

Tel : 04 72 43 64 70E-mail : thomas.grenier[@creatis.insa-lyon.fr]

Diplômes

2023 :

HDR

, Université de Lyon, INSA Lyon,

Approches non-supervisées et supervisées de filtrage et segmentation pour l’analyse longitudinale en imagerie médicale

2005 :

Thèse,

INSA Lyon, France.

Espaces des caractéristiques et paramètres d’échelle pour le filtrage et la segmentation d’image.

2001 : Master, DEA St-Etienne, France.

«Transformée en cercle et généralisation ».

2001 : Ingénieur ISTASE St-Etienne, France.

Statut actuel

Depuis 2006: Maître de Conférences HDR (hors classe) 61ème section, à INSA-Lyon France : CREATIS/département Génie Electrique de l’INSA Lyon.

Responsabilités actuelles

Depuis 2009: responsable de la communication au département Génie Electrique et des systèmes d'information.Responsable de l'option Traitement des signaux et des Images en 5ème année du département Génie Electrique.Co-responsable du work-package formation du Labex PRIMES (salle de formation, écoles d'été internationale en Deep learning pour l'imagerie médicale)Elu au Conseil de département du département Génie Electrique

Domaines académiques

Informatique: algorithmes, microcontrôleur, UML, C/C++.

Traitement du Signal: Théorie de l’Information, Filtrage de signal, Traitement d’images, Digital Image Processor (DSP).

Domaines de recherche

Filtrage et segmentation d’images médicales, Clustering et analyse de données spatio-temporelles

méthodes : Apprentissage profond

Publications

Article dans une revue (27)

Large Language Models for Patient Education: Insights from Cross-Lingual Expert Evaluation in Radioligand Therapy for Neuroendocrine Tumors Vincent Habouzit,Alice Durand,Laure Al Mansour,Boumediene Lachachi,Sarah Chaibet al. Journal of Cancer Education, 2026, ⟨10.1007/s13187-026-02886-1⟩ Article dans une revue hal-05606558v1
Sensitivity analysis of a patient-specific finite element simulation pipeline incorporating automated vertebral segmentation for predicting vertebral strength of a clinical database Louis Anzalone,Emile Saillard,Marc Gardegaront,Léa Fillot,Aurélie Levillainet al. Journal of the mechanical behavior of biomedical materials, 2026, 178, pp.107415. ⟨10.1016/j.jmbbm.2026.107415⟩ Article dans une revue hal-05573412v1
Impact of Long‐Term Fasting on Skeletal Muscle: Structure, Energy Metabolism and Function Using 31 P/ 1 H MRS and MRI Antoine Naëgel,Magalie Viallon,Hélène Ratiney,Thu Nguyen,Benjamin Leporqet al. Journal of Cachexia, Sarcopenia and Muscle, 2025, 16 (2), pp.e13773. ⟨10.1002/jcsm.13773⟩ Article dans une revue hal-05132099v1
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 Recognition, 2025, 160, pp.111186. ⟨10.1016/j.patcog.2024.111186⟩ Article dans une revue hal-04776992v2
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, 294, pp.120631. ⟨10.1016/j.neuroimage.2024.120631⟩ Article dans une revue hal-04803722v1
Finite element models with automatic computed tomography bone segmentation for failure load computation Emile Saillard,Marc Gardegaront,Aurélie Levillain,François Bermond,David Mittonet al. Scientific Reports, 2024, 14 (1), pp.16576. ⟨10.1038/s41598-024-66934-w⟩ Article dans une revue hal-04803712v1
Multiple Sclerosis Clinical Forms Classification Study with Graph Convolutional Networks Enyi Chen,Berardino Barile,Françoise Durand-Dubief,Thomas Grenier,Dominique Sappey-Marinier Frontiers in Neuroscience, In press, ⟨10.3389/fnins.2023.1268860⟩ Article dans une revue hal-04373468v1
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 Transactions on Medical Imaging, 2023, ⟨10.1109/TMI.2023.3282789⟩ Article dans une revue hal-04110698v2
Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats Léo Dumortier,Florent Guépin,Marie Laure Delignette-Muller,C. Boulocher,Thomas Grenier Scientific Reports, 2022, 12 (1), pp.11418. ⟨10.1038/s41598-022-14993-2⟩ Article dans une revue hal-03727944v1
Deep learning detection of nanoparticles and multiple object tracking of their dynamic evolution during in situ ETEM studies Khuram Faraz,Thomas Grenier,Christophe Ducottet,Thierry Epicier Scientific Reports, 2022, 12 (1), pp.2484. ⟨10.1038/s41598-022-06308-2⟩ Article dans une revue hal-03578102v1
PET image enhancement using artificial intelligence for better characterization of epilepsy lesions Anthime Flaus,Tahya Deddah,Anthonin Reilhac,Nicolas De Leiris,Marc Janieret al. Frontiers in Medicine, 2022, 9, pp.1042706. ⟨10.3389/fmed.2022.1042706⟩ Article dans une revue hal-03880659v1
Pesticide-Free Robotic Control of Aphids as Crop Pests Virginie Lacotte,Duc Toan Nguyen,Javier Diaz Sempere,Vivien Novales,Vincent Dufouret al. AgriEngineering, 2022, 4 (4), pp.903-921. ⟨10.3390/agriengineering4040058⟩ Article dans une revue hal-03806585v2
Quantitative Magnetic Resonance Imaging Assessment of the Quadriceps Changes during an Extreme Mountain Ultramarathon Hoai-Thu Nguyen,Thomas Grenier,Benjamin Leporq,Caroline Le Goff,Benjamin Gilleset al. Medicine and Science in Sports and Exercise, 2021, 53 (4), pp.869-881. ⟨10.1249/mss.0000000000002535⟩ Article dans une revue hal-02998029v1
A Pilot Study on Convolutional Neural Networks for Motion Estimation From Ultrasound Images Ewan Evain,Faraz Khuram,Thomas Grenier,Damien Garcia,Mathieu de Craeneet al. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2020, 67 (12), pp.2565-2573. ⟨10.1109/TUFFC.2020.2976809⟩ Article dans une revue hal-03027193v1
Development of normal pressure hydrocephalus following post-traumatic external hydrocephalus in an adult patient Romain Manet,Laurent Gergelé,Thomas Grenier,Zofia Czosnyka,Marek Czosnyka British Journal of Neurosurgery, 2020, pp.1-4. ⟨10.1080/02688697.2020.1738340⟩ Article dans une revue hal-02998015v1
LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography Sarah Leclerc,Erik Smistad,Andreas Ostvik,Frédéric Cervenansky,Florian Espinosaet al. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2020, 67 (12), pp.2519-2530. ⟨10.1109/TUFFC.2020.3003403⟩ Article dans une revue hal-03149347v1
New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions Stephane Kremer,Salem Hannoun,Fabrice Bonneville,Francoise Durand-Dubief,Thomas Tourdiaset al. Journal de Neuroradiologie / Journal of Neuroradiology, 2020, 47 (4), pp.250-258. ⟨10.1016/j.neurad.2020.01.083⟩ Article dans une revue hal-02570313v1
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 Croisilleet al. Computers in Biology and Medicine, 2019, 114, pp.103455. ⟨10.1016/j.compbiomed.2019.103455⟩ Article dans une revue istex hal-03009072v1
Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography Sarah Leclerc,Erik Smistad,Joao Pedrosa,Andreas Ostvik,Fréderic Cervenanskyet al. IEEE Transactions on Medical Imaging, 2019, 38 (9), pp.2198-2210. ⟨10.1109/TMI.2019.2900516⟩ Article dans une revue hal-02054458v1
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 Croisilleet al. Computers in Biology and Medicine, 2019, 110, pp.108-119. ⟨10.1016/j.compbiomed.2019.05.001⟩ Article dans une revue hal-02135018v1
Fast electron tomography: Applications to beam sensitive samples and in situ TEM or operando environmental TEM studies Siddardha Koneti,Lucian Roiban,Florent Dalmas,Cyril Langlois,Anne-Sophie Gayet al. Materials Characterization, 2019, 151, pp.480-495. ⟨10.1016/j.matchar.2019.02.009⟩ Article dans une revue hal-02151235v1
Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging Aneline Dolet,Francois Varray,Simon Mure,Thomas Grenier,Yubin Liuet al. EURASIP Journal on Advances in Signal Processing, 2018, 2018 (1), pp.39. ⟨10.1186/s13634-018-0554-8⟩ Article dans une revue hal-01909562v1
Very Fast Tomography in the (E)TEM to Probe Dynamics in Materials during Operando and In Situ Experiments Thierry Epicier,Hussein Banjak,Anne-Sophie Gay,Thomas Grenier,Sid Konetiet al. Microscopy and Microanalysis, 2018, 24 (S1), pp.1814 - 1815. ⟨10.1017/S1431927618009558⟩ Article dans une revue hal-01934140v1
Evaluation of noise and blur effects with SIRT-FISTA-TV reconstruction algorithm: Application to fast environmental transmission electron tomography Hussein Banjak,Thomas Grenier,Thierry Epicier,Siddardha Koneti,Lucian Roibanet al. Ultramicroscopy, 2018, 189, pp.109 - 123. ⟨10.1016/j.ultramic.2018.03.022⟩ Article dans une revue istex hal-01812662v1
Rapid Tomography in Environmental TEM: How Fast Can We Go to Follow the 3D Evolution of Nanomaterials in situ? Lucian Roiban,Sid Koneti,Khan Tran,Yue-Meng Feng,Thomas Grenieret al. Microscopy and Microanalysis, 2016, 22 (S5), pp.8 - 9. ⟨10.1017/S143192761601206X⟩ Article dans une revue hal-01612810v1
Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification S. Mure,T. Grenier,D. Meier,C. R. G. Guttmann,H. Benoit-Cattin Pattern Recognition Letters, 2015, 68 (Part), pp.48-55. ⟨10.1016/j.patrec.2015.07.021⟩ Article dans une revue istex hal-01206150v1
Le modèle International de l'INSA de Lyon : au-delà de l’échange académique Jérôme Dupuy,Thalia Darnanville,Fabrice Valois,Nina Arnesen,Marie-Pierre Favreet al. Journal sur l'enseignement des sciences et technologies de l'information et des systèmes, 2011, 10, pp.1009. ⟨10.1051/j3ea/2011009⟩ Article dans une revue hal-01986032v1

Chapitre d'ouvrage (1)

Region Growing: When Simplicity Meets Theory - Region Growing Revisited in Feature Space and Variational Framework C. Revol-Muller,T. Grenier,J.-L. Rose,A. Pacureanu,F. Peyrinet al. G. Csurka, M. Kraus, R. S. Laramee, P. Richard, J. Braz. Communications in Computer and Information Science Computer Vision, Imaging and Computer Graphics. Theory and Application, Springer, pp.426-444, 2013, 978-3-642-38241-3. ⟨10.1007/978-3-642-38241-3_29⟩ Chapitre d'ouvrage hal-00828473v1

HDR (1)

Approches non-supervisées et supervisées de filtrage et segmentation pour l’analyse longitudinale en imagerie médicale Thomas Grenier Imagerie médicale. Institut National des Sciences Appliquées de Lyon, 2023 HDR tel-04890800v1

Communication dans un congrès (38)

Évaluation de la segmentation des cavités nasales à l'aide d'une métrique topologique Betti-1 Nathan Hutin,Thomas Grenier,Sébastien Valette,Hamid Ladjal Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale (IABM 2026), Mar 2026, Lyon, France Communication dans un congrès hal-05485690v1
EVALUATING SEGMENTATION USING BETTI-1 TOPOLOGICAL METRIC: APPLICATION TO NASAL CAVITIES IN THE CONTEXT OF AIRFLOW SIMULATION Nathan Hutin,Thomas Grenier,Sébastien Valette,Hamid Ladjal Internation Symposium Biomedical Imaging (ISBI), Apr 2026, Londre, United Kingdom Communication dans un congrès hal-05545400v1
Comparative analysis of three advanced deep learning algorithms for Multiple Sclerosis lesion segmentation in FLAIR MRI Yi Zhu,Thomas Grenier,Chantal Revol-Muller IEEE ICSP’24 & 5th Sino-French Workshop 2024 “Medical Image Analysis and AI (MAI)”, IEEE Beijing Section, Beijing Jiaotong University, and Soochow University, Oct 2024, Suzhou, China, France. pp.697-702, ⟨10.1109/ICSP62129.2024.10846353⟩ Communication dans un congrès hal-04767216v1
DALL-E Brain : Génération d'images IRM cérébrales 2D T1-w, T2-w et FLAIR à partir de descriptions textuelles Souhail El-Allaly,Thomas Grenier,C. Revol-Muller Colloque GRETSI'25, XXXe Colloque Francophone de Traitement du Signal et des Images, Aug 2025, Strabourg, France Communication dans un congrès hal-05178724v1
DALL-E Brain: Generating 2D T1-w, T2-w, and FLAIR Brain MRI Images from Textual Prompts Souhail El-Allaly,Thomas Grenier,C. Revol-Muller EUSIPCO 2025, European Association for Signal Processing (EURASIP), Sep 2025, Palermo, France Communication dans un congrès hal-05096573v1
Détection et segmentation automatisées de bactériocytes à partir d'images de microscopie optique Nathan Hutin,Chantal Revol-Muller,Karen Gaget,Séverine Balmand,Federica Calevroet al. Groupe de Recherche et d'Etudes de Traitement du Signal et des Images (GRETSI), Aug 2025, Strasboug, France Communication dans un congrès hal-05184270v1
Pipeline for automatic segmentation of multiparametric MRI data in a rat model of ischemic stroke Duoyao Liang,Marlène Wiart,Fabien Chauveau,Thomas Grenier Clinical and Biomedical Imaging, Feb 2024, San Diego, France. pp.26, ⟨10.1117/12.3006149⟩ Communication dans un congrès hal-04803726v1
An unexpected confounder: how brain shape can be used to classify MRI scans ? Valentine Wargnier-Dauchelle,Thomas Grenier,Michaël Sdika Medical Imaging with Deep Learning, Jul 2024, Paris, France Communication dans un congrès hal-04561863v1
Constrained non-negative networks for a more explainable and interpretable classification Valentine Wargnier-Dauchelle,Thomas Grenier,Françoise Durand-Dubief,François Cotton,Michaël Sdika Medical Imaging with Deep Learning, Jul 2024, Paris, France Communication dans un congrès hal-04561860v1
Deep learning for bone segmentation: towards automating failure load simulations Emile Saillard,Marc Gardegaront,François Bermond,David Mitton,Jean-Baptiste Pialatet al. 48e Congrès de la Société de Biomécanique, Oct 2023, Grenoble, France. pp.S27-S29 Communication dans un congrès hal-04288748v1
Long-term follow-up of a LPC animal model using Optimal control MRI contrast targeting short T2 components Claire Lemoine,Thomas Grenier,Eric van Reeth,Hoai-Thu Nguyen,Benoît Vernieret al. ESMRMB 2023, Oct 2023, Basel, Switzerland Communication dans un congrès hal-04446089v1
Application of Neural Networks to the Segmentation of Nanocrystals and Liquid Nanodrops during in situ Condensation of Water in the Environmental Transmission electron microscope. Thierry Epicier,Sokhna Diata Beye,Nicolas Smigiel,Vincent Onfray,C. Revol-Mulleret al. IMC20 The 20th International Microscopy Congress, Sep 2023, Busan (Corée), South Korea Communication dans un congrès hal-04839550v1
Evaluation de l'apport d'irm de contraste générée par contrôle optimal pour l'étude du processus de demyelinisation/remyelinisation chez le rat a 11.7t Claire Lemoine,Thomas Grenier,Eric van Reeth van Reeth,Hoai-Thu Nguyen,Benoît Vernieret al. RITS 2022, May 2022, Brest, France Communication dans un congrès hal-04444875v1
Impact of MR sequences choice on deep learning segmentation of muscles Maylis Jouvencel,Hoai-Thu Nguyen,Magalie Viallon,P Croisille,Thomas Grenier 2022 16th IEEE International Conference on Signal Processing (ICSP), Oct 2022, Beijing, China. pp.420-425, ⟨10.1109/ICSP56322.2022.9965354⟩ Communication dans un congrès hal-03919414v1
Intelligent tracking of catalytic nanoparticles trajectories during in situ ETEM experiments F. Khuram,T. Grenier,C. Ducottet,Thierry Epicier 2022 MRS Spring Meeting, May 2022, Honolulu, United States Communication dans un congrès hal-03662979v1
A machine Learning pipeline to track dynamics of a population of nanoparticles during in situ Environmental Transmission Electron Microscopy in gases Khuram Faraz,Thomas Grenier,Christophe Ducottet,Thierry Epicier M&M2021, Microscopy Society of America (MSA), Aug 2021, Pittsburgh (virtual), United States. pp.2236-2237, ⟨10.1017/S1431927621008060⟩ Communication dans un congrès hal-03271239v1
Un Classifieur plus Interprétable pour la SEP Valentine Wargnier-Dauchelle,Thomas Grenier,Françoise Durand-Dubief,François Cotton,Michaël Sdika Congrès Société Française de Résonance Magnétique en Biologie et Médecine (SFRMBM), Sep 2021, Lyon, France Communication dans un congrès hal-03212961v1
UNet based automatic femur segmentation with few annotated data for bone fracture prediction: from pre-processing to segmentation assessments Emile Saillard,Cyrille Confavreux,Marc Gardegaront,David Jicquel,Stéphane Cadotet al. Medical Image Analysis and Artificial Intelligence, 2nd Sino French Workshop, Oct 2021, Online, France. 2p Communication dans un congrès hal-03406187v1
A More Interpretable Classifier for Multiple Sclerosis Valentine Wargnier-Dauchelle,Thomas Grenier,Françoise Durand-Dubief,François Cotton,Michaël Sdika International Symposium on Biomedical Imaging (ISBI), Apr 2021, Nice, France. ⟨10.1109/ISBI48211.2021.9434074⟩ Communication dans un congrès hal-03212945v1
A Duplex Pipeline for the Generation of Realistic Echocardiographic Sequences with Doppler Imaging Yunyun Sun,Khuram Faraz,Thomas Grenier,Patrick Clarysse,Damien Garciaet al. 2020 IEEE International Ultrasonics Symposium (IUS), Sep 2020, Las Vegas, United States. pp.1-4, ⟨10.1109/IUS46767.2020.9251845⟩ Communication dans un congrès hal-03149351v1
Very Fast Acquisition of Tilt series in Environmental TEM Tomography: Tips and Tricks Thierry Epicier,Thomas Grenier,Hussein Banjak,Voichita Maxim,Siddardha Konetiet al. XVIème colloque de la Société Française des Microscopies, Société Française des Microscopies (SFµ), Jul 2019, Poitiers, France Communication dans un congrès hal-02378507v1
Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC Sorina Camarasu-Pop,Carole Lartizien,Thomas Grenier,Axel Bonnet,Pascal Wassonget al. 42nd international convention on information and communication technology, electronics and microelectronics, May 2019, Opatija, Croatia. pp.190-195, ⟨10.23919/mipro.2019.8757075⟩ Communication dans un congrès hal-02327867v1
Deep Learning Segmentation in 2D echocardiography using the CAMUS dataset : Automatic Assessment of the Anatomical Shape Validity Sarah Leclerc,Erik Smistad,Andreas Ostvik,Frederic Cervenansky,Florian Espinosaet al. International conference on Medical Imaging with Deep Learning (MIDL 2019), Jul 2019, London, United Kingdom Communication dans un congrès hal-02395245v1
Deep Learning Applied to Multi-Structure Segmentation in 2D Echocardiography: A Preliminary Investigation of the Required Database Size Sarah Leclerc,Erik Smistad,Thomas Grenier,Carole Lartizien,Andreas Ostviket al. 2018 IEEE International Ultrasonics Symposium (IUS), Oct 2018, Kobe, France. pp.1-4, ⟨10.1109/ULTSYM.2018.8580136⟩ Communication dans un congrès hal-02093095v1
RU-Net: A refining segmentation network for 2D echocardiography Sarah Leclerc,Erik Smistad,Thomas Grenier,Carole Lartizien,Andreas Ostviket al. 2019 IEEE International Ultrasonics Symposium (IUS), Oct 2019, Glasgow, France. pp.1160-1163, ⟨10.1109/ULTSYM.2019.8926158⟩ Communication dans un congrès hal-02570017v1
Evaluation of local changes in femoral bone marrow during a mountain ultra-marathon with quantitative MRI Hoai-Thu Nguyen,Thomas Grenier,Benjamin Leporq,Loïc Bey,Magalie Viallonet al. ISMRM, May 2019, Montréal, Canada Communication dans un congrès hal-03006651v1
Quantification of multispectral photoacoustic images: unsupervised unmixing methods comparison Aneline Dolet,Rita Ammanouil,Thomas Grenier,Cédric Richard,Piero Tortoliet al. IEEE International Ultrasonic Symposium 2018, 2018, Kobe, Japan. ⟨10.1109/ULTSYM.2018.8580089⟩ Communication dans un congrès hal-01957861v1
Robust multi-atlas MRI segmentation with corrective learning for quantification of local quadriceps muscles inflammation changes during a longitudinal study in athletes Hoai-Thu Nguyen,P. Croisille,Magalie Viallon,Charles de Bourguignon,Rémi Grangeet al. ISMRM, Jun 2018, Paris, France Communication dans un congrès hal-03006643v1
A fully Automatic and Multi-Structural Segmentation of the Left Ventricle and the Myocardium on Highly Heterogeneous 2D Echocardiographic Data Sarah Leclerc,Thomas Grenier,Florian Espinoza,Olivier Bernard 2017 IEEE International Ultrasonic Symposium (IUS), Sep 2017, Washington, DC, United States. ⟨10.1109/ULTSYM.2017.8092632⟩ Communication dans un congrès hal-01609235v1
Unsupervised spatiotemporal video clustering a versatile mean-shift formulation robust to total object occlusions Simon Mure,Thomas Grenier,Hugues Benoit-Cattin The 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.1536-1540, ⟨10.1109/ICASSP.2016.7471934⟩ Communication dans un congrès hal-01433000v1
Analyse dynamique hebdomadaire du développement péri-veinulaire des lésions actives de SEP par imagerie de susceptibilité magnétique Roxana Ameli,Simon Mure,Charles R G Guttmann,Thomas Grenier,Hugues Benoit-Cattinet al. 43rd Congress of the SFNR, Mar 2016, Paris, France. pp.91-93, ⟨10.1016/j.neurad.2016.01.056⟩ Communication dans un congrès istex hal-01432957v1
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 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016), Apr 2016, Prague, Czech Republic. ⟨10.1109/ISBI.2016.7493509⟩ Communication dans un congrès hal-01432982v1
New insight in perivenular lesion formation in multiple sclerosis on weekly susceptibility weighted images S. Mure,C. R. G. Guttmann,T. Grenier,H. Benoit-Cattin,F. Cotton 24th annual meeting and exhibition ISMRM 2016, May 2016, Singapour, Singapore. pp.Abstract #1290 Communication dans un congrès hal-01452997v1
Environmental Transmission Electron Tomography: fast 3D analysis of nano-materials Siddardha Koneti,Lucian Roiban,Voichita Maxim,Thomas Grenier,Priscilla Avenieret al. European Microscopy Congress, Aug 2016, Lyon, France. pp.29-30, ⟨10.1002/9783527808465.EMC2016.6438⟩ Communication dans un congrès hal-01871240v1
Unsupervised time-series clustering of distorted and asynchronous temporal patterns Simon Mure,Thomas Grenier,Charles R G Guttmann,Hugues Benoit-Cattin The 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.1263-1267, ⟨10.1109/ICASSP.2016.7471879⟩ Communication dans un congrès hal-01432897v1
Spatial and spectral regularization for multispectral photoacoustic image clustering Aneline Dolet,François Varray,Simon Mure,Thomas Grenier,Yubin Liuet al. IEEE International Ultrasonics Symposium (IUS 2016), Sep 2016, Tours, France. ⟨10.1109/ULTSYM.2016.7728439⟩ Communication dans un congrès hal-01437840v1
LOCALLY CONTROLLED REGULARIZED SPATIOTEMPORAL ANISOTROPIC DIFFUSION P. Portejoie,S. Mure,H. Benoit-Cattin,T. Grenier IEEE International Conference on Image Processing, Sep 2015, Québec, Canada Communication dans un congrès hal-01206168v1
Feature space region growing C. Revol-Muller,T. Grenier,T. Li,H. Benoit-Cattin IEEE International Conference On Image Processing, Sep 2012, Orlando, United States. pp.2585 - 2588, ⟨10.1109/ICIP.2012.6467427⟩ Communication dans un congrès hal-00830362v1