TG

Thomas Grenier

INSA LYON - CREATIS/GE CNU 61 - EEA
67%
Libre accès
61
Documents
Affiliation actuelle
  • Modeling & analysis for medical imaging and Diagnosis (MYRIAD)
Contact

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-Lyon 21 Av. Jean Capelle O 69621 Villeurbanne Cedex, France

Tel : 04 72 43 64 70 E-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

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Publications

Image document

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-04776992 v2
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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-04803722 v1
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Finite element models with automatic computed tomography bone segmentation for failure load computation

Emile Saillard , Marc Gardegaront , Aurélie Levillain , François Bermond , David Mitton et al.
Scientific Reports, 2024, 14 (1), pp.16576. ⟨10.1038/s41598-024-66934-w⟩
Article dans une revue hal-04803712 v1
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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-04373468 v1
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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-04110698 v2

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-03727944 v1
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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-03578102 v1
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PET image enhancement using artificial intelligence for better characterization of epilepsy lesions

Anthime Flaus , Tahya Deddah , Anthonin Reilhac , Nicolas De Leiris , Marc Janier et al.
Frontiers in Medicine, 2022, 9, pp.1042706. ⟨10.3389/fmed.2022.1042706⟩
Article dans une revue hal-03880659 v1
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Pesticide-Free Robotic Control of Aphids as Crop Pests

Virginie Lacotte , Duc Toan Nguyen , Javier Diaz Sempere , Vivien Novales , Vincent Dufour et al.
AgriEngineering, 2022, 4 (4), pp.903-921. ⟨10.3390/agriengineering4040058⟩
Article dans une revue hal-03806585 v2
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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 Gilles et al.
Medicine and Science in Sports and Exercise, 2021, 53 (4), pp.869-881. ⟨10.1249/mss.0000000000002535⟩
Article dans une revue hal-02998029 v1

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-02998015 v1
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A Pilot Study on Convolutional Neural Networks for Motion Estimation From Ultrasound Images

Ewan Evain , Faraz Khuram , Thomas Grenier , Damien Garcia , Mathieu de Craene et 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-03027193 v1
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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 Espinosa et 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-03149347 v1

A Pilot Study on Convolutional Neural Networks for Motion Estimation From Ultrasound Images

Ewan Evain , Khuram Faraz , Thomas Grenier , Damien Garcia , Mathieu de Craene et 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-04842580 v1
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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 Tourdias et 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-02570313 v1

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 et al.
Computers in Biology and Medicine, 2019, 114, pp.103455. ⟨10.1016/j.compbiomed.2019.103455⟩
Article dans une revue hal-03009072 v1
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Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

Sarah Leclerc , Erik Smistad , Joao Pedrosa , Andreas Ostvik , Fréderic Cervenansky et al.
IEEE Transactions on Medical Imaging, 2019, 38 (9), pp.2198-2210. ⟨10.1109/TMI.2019.2900516⟩
Article dans une revue hal-02054458 v1
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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 et al.
Computers in Biology and Medicine, 2019, 110, pp.108-119. ⟨10.1016/j.compbiomed.2019.05.001⟩
Article dans une revue hal-02135018 v1
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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 Gay et al.
Materials Characterization, 2019, 151, pp.480-495. ⟨10.1016/j.matchar.2019.02.009⟩
Article dans une revue hal-02151235 v1
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Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging

Aneline Dolet , Francois Varray , Simon Mure , Thomas Grenier , Yubin Liu et al.
EURASIP Journal on Advances in Signal Processing, 2018, 2018 (1), pp.39. ⟨10.1186/s13634-018-0554-8⟩
Article dans une revue hal-01909562 v1

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 Koneti et al.
Microscopy and Microanalysis, 2018, 24 (S1), pp.1814 - 1815. ⟨10.1017/S1431927618009558⟩
Article dans une revue hal-01934140 v1

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 Roiban et al.
Ultramicroscopy, 2018, 189, pp.109 - 123. ⟨10.1016/j.ultramic.2018.03.022⟩
Article dans une revue hal-01812662 v1

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 Grenier et al.
Microscopy and Microanalysis, 2016, 22 (S5), pp.8 - 9. ⟨10.1017/S143192761601206X⟩
Article dans une revue hal-01612810 v1

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 hal-01206150 v1

Le modèle International de l'INSA de Lyon : au-delà de l’échange académique

Jérôme Dupuy , Thalia Darnanville , Fabrice Valois , Nina Arnesen , Marie-Pierre Favre et 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-01986032 v1

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. Peyrin et 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-00828473 v1
Image document

Comparative analysis of three advanced deep learning algorithms for Multiple Sclerosis lesion segmentation in FLAIR MRI

Yi Zhu , Thomas Grenier , C. 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
Communication dans un congrès hal-04767216 v1
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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-04803726 v1
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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-04561863 v1
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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-04561860 v1
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Deep learning for bone segmentation: towards automating failure load simulations

Emile Saillard , Marc Gardegaront , François Bermond , David Mitton , Jean-Baptiste Pialat et al.
48e Congrès de la Société de Biomécanique, Oct 2023, Grenoble, France. pp.S27-S29
Communication dans un congrès hal-04288748 v1
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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 Vernier et al.
ESMRMB 2023, Oct 2023, Basel, Switzerland
Communication dans un congrès hal-04446089 v1

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-Muller et al.
IMC20 The 20th International Microscopy Congress, Sep 2023, Busan (Corée), South Korea
Communication dans un congrès hal-04839550 v1
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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-03919414 v1
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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 Vernier et al.
RITS 2022, May 2022, Brest, France
Communication dans un congrès hal-04444875 v1

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-03662979 v1

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-03212961 v1
Image document

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-03271239 v1

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 Cadot et al.
Medical Image Analysis and Artificial Intelligence, 2nd Sino French Workshop, Oct 2021, Online, France. 2p
Communication dans un congrès hal-03406187 v1
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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-03212945 v1

A Duplex Pipeline for the Generation of Realistic Echocardiographic Sequences with Doppler Imaging

Yunyun Sun , Khuram Faraz , Thomas Grenier , Patrick Clarysse , Damien Garcia et 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-03149351 v1

A Duplex Pipeline for the Generation of Realistic Echocardiographic Sequences with Doppler Imaging

Yunyun Sun , Khuram Faraz , Thomas Grenier , Patrick Clarysse , Damien Garcia et 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-03538705 v1
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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 Espinosa et al.
International conference on Medical Imaging with Deep Learning (MIDL 2019), Jul 2019, London, United Kingdom
Communication dans un congrès hal-02395245 v1

Very Fast Acquisition of Tilt series in Environmental TEM Tomography: Tips and Tricks

Thierry Epicier , Thomas Grenier , Hussein Banjak , Voichita Maxim , Siddardha Koneti et al.
XVIème colloque de la Société Française des Microscopies, Société Française des Microscopies (SFµ), Jul 2019, Poitiers, France
Communication dans un congrès hal-02378507 v1
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Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC

Sorina Camarasu-Pop , Carole Lartizien , Thomas Grenier , Axel Bonnet , Pascal Wassong et 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-02327867 v1
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RU-Net: A refining segmentation network for 2D echocardiography

Sarah Leclerc , Erik Smistad , Thomas Grenier , Carole Lartizien , Andreas Ostvik et al.
2019 IEEE International Ultrasonics Symposium (IUS), Oct 2019, Glasgow, France. pp.1160-1163, ⟨10.1109/ULTSYM.2019.8926158⟩
Communication dans un congrès hal-02570017 v1

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 Ostvik et al.
2018 IEEE International Ultrasonics Symposium (IUS), Oct 2018, Kobe, France. pp.1-4, ⟨10.1109/ULTSYM.2018.8580136⟩
Communication dans un congrès hal-02093095 v1

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 Viallon et al.
ISMRM, May 2019, Montréal, Canada
Communication dans un congrès hal-03006651 v1
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Quantification of multispectral photoacoustic images: unsupervised unmixing methods comparison

Aneline Dolet , Rita Ammanouil , Thomas Grenier , Cédric Richard , Piero Tortoli et al.
IEEE International Ultrasonic Symposium 2018, 2018, Kobe, Japan. ⟨10.1109/ULTSYM.2018.8580089⟩
Communication dans un congrès hal-01957861 v1

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 Grange et al.
ISMRM, Jun 2018, Paris, France
Communication dans un congrès hal-03006643 v1
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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-01609235 v1

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-Cattin et al.
43rd Congress of the SFNR, Mar 2016, Paris, France. pp.91-93, ⟨10.1016/j.neurad.2016.01.056⟩
Communication dans un congrès hal-01432957 v1

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-01432982 v1

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-01433000 v1

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-01452997 v1

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-01432897 v1

Environmental Transmission Electron Tomography: fast 3D analysis of nano-materials

Siddardha Koneti , Lucian Roiban , Voichita Maxim , Thomas Grenier , Priscilla Avenier et al.
European Microscopy Congress, Aug 2016, Lyon, France. pp.29-30, ⟨10.1002/9783527808465.EMC2016.6438⟩
Communication dans un congrès hal-01871240 v1

Spatial and spectral regularization for multispectral photoacoustic image clustering

Aneline Dolet , François Varray , Simon Mure , Thomas Grenier , Yubin Liu et al.
IEEE International Ultrasonics Symposium (IUS 2016), Sep 2016, Tours, France. ⟨10.1109/ULTSYM.2016.7728439⟩
Communication dans un congrès hal-01437840 v1

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-01206168 v1

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-00830362 v1