Thomas Grenier

Assistant professor at INSA LYON Electrical Engineering department CREATIS

63%

Open access

Documents

Current affiliations

1043804

Researcher identifiers

thomas-grenier
ResearcherId : H-4456-2014
0000-0002-3630-5856
ResearcherId : http://www.researcherid.com/rid/H-4456-2014

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Publications

	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, inPress, ⟨10.3389/fnins.2023.1268860⟩ Journal articles 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⟩ Journal articles hal-04110698v2
	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⟩ Journal articles hal-03578102v1
	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⟩ Journal articles hal-03727944v1
	Pesticide-Free Robotic Control of Aphids as Crop Pests Virginie Lacotte , Duc Toan Nguyen , Javier Diaz Sempere , Vivien Novales , Vincent Dufour AgriEngineering, 2022, 4 (4), pp.903-921. ⟨10.3390/agriengineering4040058⟩ Journal articles hal-03806585v2
	PET image enhancement using artificial intelligence for better characterization of epilepsy lesions Anthime Flaus , Tahya Deddah , Anthonin Reilhac , Nicolas De Leiris , Marc Janier Frontiers in Medicine, 2022, 9, pp.1042706. ⟨10.3389/fmed.2022.1042706⟩ Journal articles hal-03880659v1
	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 Medicine and Science in Sports and Exercise, 2021, 53 (4), pp.869-881. ⟨10.1249/mss.0000000000002535⟩ Journal articles hal-02998029v1
	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⟩ Journal articles 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 Espinosa IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2020, 67 (12), pp.2519-2530. ⟨10.1109/TUFFC.2020.3003403⟩ Journal articles hal-03149347v1
	A Pilot Study on Convolutional Neural Networks for Motion Estimation From Ultrasound Images Ewan Evain , Faraz Khuram , Thomas Grenier , Damien Garcia , Mathieu de Craene IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2020, 67 (12), pp.2565-2573. ⟨10.1109/TUFFC.2020.2976809⟩ Journal articles hal-03027193v1
	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 Journal de Neuroradiologie / Journal of Neuroradiology, 2020, 47 (4), pp.250-258. ⟨10.1016/j.neurad.2020.01.083⟩ Journal articles hal-02570313v1
	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 Computers in Biology and Medicine, 2019, 110, pp.108-119. ⟨10.1016/j.compbiomed.2019.05.001⟩ Journal articles 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 Gay Materials Characterization, 2019, 151, pp.480-495. ⟨10.1016/j.matchar.2019.02.009⟩ Journal articles hal-02151235v1
	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 Computers in Biology and Medicine, 2019, 114, pp.103455. ⟨10.1016/j.compbiomed.2019.103455⟩ Journal articles hal-03009072v1
	Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography Sarah Leclerc , Erik Smistad , Joao Pedrosa , Andreas Ostvik , Fréderic Cervenansky IEEE Transactions on Medical Imaging, 2019, 38 (9), pp.2198-2210. ⟨10.1109/TMI.2019.2900516⟩ Journal articles hal-02054458v1
	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 Microscopy and Microanalysis, 2018, 24 (S1), pp.1814 - 1815. ⟨10.1017/S1431927618009558⟩ Journal articles hal-01934140v1
	Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging Aneline Dolet , Francois Varray , Simon Mure , Thomas Grenier , Yubin Liu EURASIP Journal on Advances in Signal Processing, 2018, 2018 (1), pp.39. ⟨10.1186/s13634-018-0554-8⟩ Journal articles hal-01909562v1
	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 Ultramicroscopy, 2018, 189, pp.109 - 123. ⟨10.1016/j.ultramic.2018.03.022⟩ Journal articles 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 Grenier Microscopy and Microanalysis, 2016, 22 (S5), pp.8 - 9. ⟨10.1017/S143192761601206X⟩ Journal articles 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⟩ Journal articles 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 Favre Journal sur l'enseignement des sciences et technologies de l'information et des systèmes, 2011, 10, pp.1009. ⟨10.1051/j3ea/2011009⟩ Journal articles hal-01986032v1

	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 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⟩ Book sections hal-00828473v1

	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 Conference papers 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 Conference papers hal-04561860v1
	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 van Reeth , Hoai-Thu Nguyen , Benoît Vernier ESMRMB 2023, Oct 2023, Basel, Switzerland Conference papers hal-04446089v1
	Deep learning for bone segmentation: towards automating failure load simulations Emile Saillard , Marc Gardegaront , François Bermond , David Mitton , Jean-Baptiste Pialat 48e Congrès de la Société de Biomécanique, Oct 2023, Grenoble, France. pp.S27-S29 Conference papers hal-04288748v1
	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⟩ Conference papers hal-03919414v1
	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 RITS 2022, May 2022, Brest, France Conference papers hal-04444875v1
	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 Medical Image Analysis and Artificial Intelligence, 2nd Sino French Workshop, Oct 2021, Online, France. 2p Conference papers hal-03406187v1
	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⟩ Conference papers hal-03271239v1
	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⟩ Conference papers hal-03212945v1
	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 Conference papers hal-03212961v1
	A Duplex Pipeline for the Generation of Realistic Echocardiographic Sequences with Doppler Imaging Yunyun Sun , Khuram Faraz , Thomas Grenier , Patrick Clarysse , Damien Garcia 2020 IEEE International Ultrasonics Symposium (IUS), Sep 2020, Las Vegas, United States. pp.1-4, ⟨10.1109/IUS46767.2020.9251845⟩ Conference papers hal-03538705v1
	A Duplex Pipeline for the Generation of Realistic Echocardiographic Sequences with Doppler Imaging Yunyun Sun , Khuram Faraz , Thomas Grenier , Patrick Clarysse , Damien Garcia 2020 IEEE International Ultrasonics Symposium (IUS), Sep 2020, Las Vegas, United States. pp.1-4, ⟨10.1109/IUS46767.2020.9251845⟩ Conference papers hal-03149351v1
	Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC Sorina Camarasu-Pop , Carole Lartizien , Thomas Grenier , Axel Bonnet , Pascal Wassong 42nd international convention on information and communication technology, electronics and microelectronics, May 2019, Opatija, Croatia. pp.190-195, ⟨10.23919/mipro.2019.8757075⟩ Conference papers 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 Espinosa International conference on Medical Imaging with Deep Learning (MIDL 2019), Jul 2019, London, United Kingdom Conference papers hal-02395245v1
	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 ISMRM, May 2019, Montréal, Canada Conference papers hal-03006651v1
	RU-Net: A refining segmentation network for 2D echocardiography Sarah Leclerc , Erik Smistad , Thomas Grenier , Carole Lartizien , Andreas Ostvik 2019 IEEE International Ultrasonics Symposium (IUS), Oct 2019, Glasgow, France. pp.1160-1163, ⟨10.1109/ULTSYM.2019.8926158⟩ Conference papers hal-02570017v1
	Very Fast Acquisition of Tilt series in Environmental TEM Tomography: Tips and Tricks Thierry Epicier , Thomas Grenier , Hussein Banjak , Voichita Maxim , Siddardha Koneti XVIème colloque de la Société Française des Microscopies, Société Française des Microscopies (SFµ), Jul 2019, Poitiers, France Conference papers hal-02378507v1
	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 ISMRM, Jun 2018, Paris, France Conference papers hal-03006643v1
	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 2018 IEEE International Ultrasonics Symposium (IUS), Oct 2018, Kobe, France. pp.1-4, ⟨10.1109/ULTSYM.2018.8580136⟩ Conference papers hal-02093095v1
	Quantification of multispectral photoacoustic images: unsupervised unmixing methods comparison Aneline Dolet , Rita Ammanouil , Thomas Grenier , Cédric Richard , Piero Tortoli IEEE International Ultrasonic Symposium 2018, 2018, Kobe, Japan Conference papers hal-01957861v1
	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⟩ Conference papers hal-01609235v1
	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 Conference papers hal-01452997v1
	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⟩ Conference papers hal-01433000v1
	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⟩ Conference papers hal-01432982v1
	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 43rd Congress of the SFNR, Mar 2016, Paris, France. pp.91-93, ⟨10.1016/j.neurad.2016.01.056⟩ Conference papers hal-01432957v1
	Environmental Transmission Electron Tomography: fast 3D analysis of nano-materials Siddardha Koneti , Lucian Roiban , Voichita Maxim , Thomas Grenier , Priscilla Avenier European Microscopy Congress, Aug 2016, Lyon, France. pp.29-30, ⟨10.1002/9783527808465.EMC2016.6438⟩ Conference papers 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⟩ Conference papers hal-01432897v1
	Spatial and spectral regularization for multispectral photoacoustic image clustering Aneline Dolet , François Varray , Simon Mure , Thomas Grenier , Yubin Liu IEEE International Ultrasonics Symposium (IUS 2016), Sep 2016, Tours, France. ⟨10.1109/ULTSYM.2016.7728439⟩ Conference papers 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 Conference papers 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⟩ Conference papers hal-00830362v1

Thomas Grenier

Presentation

Publications

Multiple Sclerosis Clinical Forms Classification Study with Graph Convolutional Networks

A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection

Deep learning detection of nanoparticles and multiple object tracking of their dynamic evolution during in situ ETEM studies

Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats

Pesticide-Free Robotic Control of Aphids as Crop Pests

PET image enhancement using artificial intelligence for better characterization of epilepsy lesions

Quantitative Magnetic Resonance Imaging Assessment of the Quadriceps Changes during an Extreme Mountain Ultramarathon

Development of normal pressure hydrocephalus following post-traumatic external hydrocephalus in an adult patient

LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography

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

New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions

Automatic myocardial ischemic lesion detection on magnetic resonance perfusion weighted imaging prior perfusion quantification: A pre-modeling strategy

Fast electron tomography: Applications to beam sensitive samples and in situ TEM or operando environmental TEM studies

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]

Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography

Very Fast Tomography in the (E)TEM to Probe Dynamics in Materials during Operando and In Situ Experiments

Spatial and spectral regularization to discriminate tissues using multispectral photoacoustic imaging

Evaluation of noise and blur effects with SIRT-FISTA-TV reconstruction algorithm: Application to fast environmental transmission electron tomography

Rapid Tomography in Environmental TEM: How Fast Can We Go to Follow the 3D Evolution of Nanomaterials in situ?

Unsupervised spatio-temporal filtering of image sequences. A mean-shift specification

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

Region Growing: When Simplicity Meets Theory - Region Growing Revisited in Feature Space and Variational Framework

An unexpected confounder: how brain shape can be used to classify MRI scans ?

Constrained non-negative networks for a more explainable and interpretable classification

Long-term follow-up of a LPC animal model using Optimal control MRI contrast targeting short T2 components

Deep learning for bone segmentation: towards automating failure load simulations

Impact of MR sequences choice on deep learning segmentation of muscles

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

UNet based automatic femur segmentation with few annotated data for bone fracture prediction: from pre-processing to segmentation assessments

A machine Learning pipeline to track dynamics of a population of nanoparticles during in situ Environmental Transmission Electron Microscopy in gases

A More Interpretable Classifier for Multiple Sclerosis

Un Classifieur plus Interprétable pour la SEP

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

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

Exploiting GPUs on distributed infrastructures for medical imaging applications with VIP and DIRAC

Deep Learning Segmentation in 2D echocardiography using the CAMUS dataset : Automatic Assessment of the Anatomical Shape Validity

Evaluation of local changes in femoral bone marrow during a mountain ultra-marathon with quantitative MRI

RU-Net: A refining segmentation network for 2D echocardiography

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

Robust multi-atlas MRI segmentation with corrective learning for quantification of local quadriceps muscles inflammation changes during a longitudinal study in athletes

Deep Learning Applied to Multi-Structure Segmentation in 2D Echocardiography: A Preliminary Investigation of the Required Database Size

Quantification of multispectral photoacoustic images: unsupervised unmixing methods comparison

A fully Automatic and Multi-Structural Segmentation of the Left Ventricle and the Myocardium on Highly Heterogeneous 2D Echocardiographic Data

New insight in perivenular lesion formation in multiple sclerosis on weekly susceptibility weighted images

Unsupervised spatiotemporal video clustering a versatile mean-shift formulation robust to total object occlusions

Classification of multiple sclerosis lesion evolution patterns a study based on unsupervised clustering of asynchronous time-series

Analyse dynamique hebdomadaire du développement péri-veinulaire des lésions actives de SEP par imagerie de susceptibilité magnétique

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

Unsupervised time-series clustering of distorted and asynchronous temporal patterns

Spatial and spectral regularization for multispectral photoacoustic image clustering

LOCALLY CONTROLLED REGULARIZED SPATIOTEMPORAL ANISOTROPIC DIFFUSION

Feature space region growing