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authFullName_s : Thomas Grenier

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⟩
Conference papers hal-01432957v1

Un Classifieur plus Interprétable pour la SEP

Valentine Wargnier-Dauchelle , Thomas Grenier , Françoise Durand-Dubief , François Cotton , Michaël Sdika et al.
Congrès Société Française de Résonance Magnétique en Biologie et Médecine (SFRMBM), Sep 2021, Lyon, France
Conference papers hal-03212961v1
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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⟩
Journal articles hal-02054458v1

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⟩
Journal articles hal-03009072v1
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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⟩
Journal articles hal-03027193v1
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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⟩
Journal articles hal-01909562v1

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
Conference papers hal-01957861v1

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 et al.
IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016), Apr 2016, Prague, Czech Republic. ⟨10.1109/ISBI.2016.7493509⟩
Conference papers hal-01432982v1

Robustly segmenting quadriceps muscles of ultra-endurance athletes with weakly supervised U-Net

Hoai-Thu Nguyen , P. Croisille , Magalie Viallon , Sarah Leclerc , Sylvain Grange et al.
2020
Preprints, Working Papers, ... hal-02998055v1
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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
Conference papers hal-03271239v1

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
Conference papers hal-02378507v1

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

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 et al.
Scientific Reports, 2022, 12 (1), pp.11418. ⟨10.1038/s41598-022-14993-2⟩
Journal articles hal-03727944v1
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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⟩
Conference papers hal-02327867v1

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

Romain Manet , Laurent Gergelé , Thomas Grenier , Zofia Czosnyka , Marek Czosnyka et al.
British Journal of Neurosurgery, 2020, pp.1-4. ⟨10.1080/02688697.2020.1738340⟩
Journal articles hal-02998015v1
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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 et al.
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
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Extracellular AGR2 triggers lung tumour cell proliferation through repression of p21(CIP1)

Delphine Fessart , Claire de Barbeyrac , Ines Boutin , Thomas Grenier , Elodie Richard et al.
Biochimica et Biophysica Acta - Molecular Cell Research, 2021, 1868 (3), pp.118920. ⟨10.1016/j.bbamcr.2020.118920⟩
Journal articles hal-03102260v1
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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
Conference papers hal-02395245v1

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⟩
Conference papers hal-03149351v1
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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⟩
Conference papers hal-02570017v1
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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⟩
Journal articles hal-03149347v1
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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⟩
Journal articles hal-02135018v1

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⟩
Conference papers hal-02093095v1
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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⟩
Journal articles hal-03578102v1

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⟩
Conference papers hal-03538705v1

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
Conference papers hal-03006643v1

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
Conference papers hal-03006651v1

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
Conference papers hal-03406187v1

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⟩
Journal articles hal-01934140v1
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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⟩
Journal articles hal-03880659v1