Philippe Delachartre
Présentation
Université Lyon, INSA Lyon, CREATIS https://www.creatis.insa-lyon.fr/~phild/ Signal and image processing in medical imaging: detection, segmentation, denoising, motion estimation, machine and deep learning applied to ultrasound and MRI. 30 years of experience in ultrasound image processing and contribution to more than 100 publications. 1994 PhD thesis – underwater acoustic, signal processing, signal classification with neural network 1995 - Associate professor and Professor in medical imaging Coordinator of 5 projects over the last 4 years: [P1] Rhône Alpes Auvergne region project, PhD thesis and support, automatic emboli characterization and classification with deep learning, 2019-2023, 170 k€. [P2] ANR LabCom AtysCrea with Atys Medical, Transcranial Doppler and High Frequency Ultrasound Imaging, 2014-17, 300 k€ (https://www.atyscrea.insa-lyon.fr/fr). [P3] Rhône Alpes ARC region project, PhD thesis and support, 2013-16, 100 k€, image denoising. [P4] Contract with Institut Pierre Fabre Toulouse, "Automatic characterization of the dermis on ultrasound images, 2016-18, 45 k€. [P5] Lyon University/Labex Celya contract with the labtau, 2017, "Segmentation of 3D images of the prostate by convolutional neural networks", 21 k€. 9 PhD studentsAffiliation
Research interests
Professional experience
Grants
Doctoral supervision
Publications
Publications
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RgeoJSD: Robust Geometric Jensen-Shannon Divergence Noise-Tolerant Loss for Cerebral Emboli Classification2025 IEEE International Ultrasonics Symposium (IUS), IEEE UFFC, Sep 2025, Utrecht, Netherlands. pp.1-4, ⟨10.1109/IUS62464.2025.11201339⟩ |
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Weakly-Supervised Semantic Space Structuring: Cardiac Cycle Position For Cerebral Emboli Visualization Using Contrastive Learning2025 IEEE International Symposium on Biomedical Imaging (ISBI), Apr 2025, Houston, United States. ⟨10.1109/ISBI60581.2025.10981113⟩ |
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Conformal Prediction for Explainable AI and Lesion Detection in 3D Cranial Ultrasound2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium (UFFC-JS), Sep 2024, Taipei, France. pp.1-4, ⟨10.1109/UFFC-JS60046.2024.10793934⟩ |
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PWML Detection in 3D Cranial Ultrasound Volumes using Over-segmentation and Multimodal Classification with Deep Learning2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Apr 2023, Cartagena, Colombia. pp.1-5, ⟨10.1109/ISBI53787.2023.10230607⟩ |
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Hyperquaternions and physicsSciPost Physics Proceedings, Jul 2022, Strasbourg, France. pp.030, ⟨10.21468/SciPostPhysProc.14.030⟩ |
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Soft labels noise tolerant loss functions for transcranial Doppler ultrasound signal classification2023 IEEE International Ultrasonics Symposium (IUS), Sep 2023, Montreal, Canada. pp.1-4, ⟨10.1109/IUS51837.2023.10308259⟩ |
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Deep Embedded Clustering Regularization for Supervised Imbalanced Cerebral Emboli Classification Using Transcranial Doppler Ultrasound2023 31st European Signal Processing Conference (EUSIPCO), Sep 2023, Helsinki, Finland. pp.1165-1169, ⟨10.23919/EUSIPCO58844.2023.10289988⟩ |
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Vision Transformer and Multiview Classification for Lesion Detection in 3D Cranial Ultrasound2023 IEEE International Ultrasonics Symposium (IUS), Sep 2023, Montreal, Canada. pp.1-5, ⟨10.1109/IUS51837.2023.10306345⟩ |
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An hybrid cnn-transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classificationMachine Learning for Healthcare, Aug 2022, Durham, United States |
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Semi-supervised annotation of Transcranial Doppler ultrasound micro-embolic data2021 IEEE International Ultrasonics Symposium (IUS), Sep 2021, Xi'an, China. ⟨10.1109/IUS52206.2021.9593847⟩ |
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3D Clifford Analytic Signal for 3D Envelope Detection on Ultrasound Volume2021 IEEE International Ultrasonics Symposium (IUS), Sep 2021, Xi'an, China. pp.1-4, ⟨10.1109/IUS52206.2021.9593437⟩ |
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Quantitative Comparison of 3D Freehand Ultrasound and MRI Images of the Neonatal Brain2020 IEEE International Ultrasonics Symposium (IUS), Sep 2020, Las Vegas (virtual), United States. ⟨10.1109/IUS46767.2020.9251324⟩ |
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Automatic classification of brain emboli using transcranial Doppler and convolutional neural networksForum Acusticum, Dec 2020, Lyon, France. pp.2693-2694, ⟨10.48465/fa.2020.0793⟩ |
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Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography priority u-Net for detection of pwml in preterm 3d Cranial UltrasonographyMedical Imaging with Deep Learning (MIDL), Jul 2020, Montreal, Canada. pp.205-216 |
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Segmentation of neonates cerebral ventricles with 2D CNN in 3D US data: suitable training-set size and data augmentation strategies2019 IEEE International Ultrasonics Symposium (IUS), Oct 2019, Glasgow, United Kingdom. pp.2122-2125, ⟨10.1109/ULTSYM.2019.8925799⟩ |
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Hyperquaternions: An Efficient Mathematical Formalism for GeometryGeometric Science of Information. 4th International Conference (GSI 2019), Frank Nielsen; Frédéric Barbaresco, Aug 2019, Toulouse, France. pp.116-125, ⟨10.1007/978-3-030-26980-7_13⟩ |
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Automatic Segmentation of the Cerebral Ventricle in Neonates Using Deep Learning with 3D Reconstructed Freehand Ultrasound Imaging2018 IEEE International Ultrasonics Symposium (IUS), Oct 2018, Kobe, Japan. pp.1-4, ⟨10.1109/ULTSYM.2018.8580214⟩ |
Hyperquaternion Symmetry Groups11th International Conference on Clifford Algebras and Their Applications in Mathematical Physics (ICCA11), Aug 2017, Ghent, Belgium |
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Apprentissage pour la segmentation de la prostate en IRM : architectures multi-échelle résiduellesConférence sur l'Apprentissage Automatique, Jun 2017, Grenoble, France |
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Hyperquaternions and Physics: Historical Outlook11th International Conference on Clifford Algebras and Their Applications in Mathematical Physics (ICCA11), Aug 2017, Ghent, Belgium |
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Segmentation of High Frequency Ultrasound Skin DataRecherche en Imagerie et Technologies pour la Santé, Mar 2017, Lyon, France |
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Segmentation of the lateral ventricles in 3D ultrasound images of the brain in neonates2016 IEEE International Ultrasonics Symposium (IUS 2016), Sep 2016, Tours, France. ⟨10.1109/ULTSYM.2016.7728560⟩ |
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Vessel segmentation in high-frequency 2D/3D ultrasound images2016 IEEE International Ultrasonics Symposium (IUS), Sep 2016, Tours, France. pp.1-4, ⟨10.1109/ULTSYM.2016.7728628⟩ |
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A comparison of non-parametric segmentation methodsColloque GRETSI 2015, Sep 2015, Lyon, France. pp.4 |
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Détection de micro-emboles par une approche de classification superviséeGRETSI, Sep 2015, Lyon, France |
A variational Shearlet-based model for aortic stent detection12th International Conference on Signal Processing (ICSP), 2014 , Oct 2014, Hangzhou, China. pp.1052-1056, ⟨10.1109/ICOSP.2014.7015165⟩ |
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Cardiac motion analysis using wavelet projections from tagged MR sequencesIEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.189-193, ⟨10.1109/ICIP.2014.7025037⟩ |
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Time-frequency Blood Flow Parameters Estimation for Micro-emboli DetectionIEEE ISPA, 2015, Zagreb, Croatia. pp. 66-71 |
Myocardial Motion Estimation Using Optical Flow with Multiple Constraint EquationsIEEE International Conference on Signal Processing (ICSP14), Oct 2014, HangZhou, China. pp.1066-1071 |
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Extension of Analytic Signal conception on Dynamic Image Sequences9ème édition de la conférence MAnifestation des JEunes Chercheurs en Sciences et Technologies de l'Information et de la Communication - MajecSTIC 2012, Nicolas Gouvy, Oct 2012, Villeneuve d'Ascq, France |
Phase extraction of the Analytic Video Signal in Clifford Algebra5th conference on Applied Geometric Algebras in Computer Science and Engineering, Jul 2012, La Rochelle, France |
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3-D biquaternionic analytic signal and application to envelope detection in 3-D ultrasound imaging2nd International Conference on 3D Imaging, Dec 2012, Liège, Belgium. pp.1-8, ⟨10.1109/IC3D.2012.6615144⟩ |
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Motion estimation in ultrasound imaging applied to the diagnostic of pelvic floor disorders33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), IEEE Engineering in Medicine and Biology Society, Aug 2011, Boston, Massachusetts, United States. pp.8058--8061, ⟨10.1109/IEMBS.2011.6091987⟩ |
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Motion estimation using prebeamformed ultrasound signalsIEEE International Ultrasonic Symposium, 2010, San Diego, USA, Unknown Region. pp.2004-2007, ⟨10.1109/ULTSYM.2010.5935717⟩ |
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Transverse oscillations for tissue motion estimationInternational Congress on Ultrasonics 2009, Physics Procedia, 2010, Santiago, Chile. pp.235-244, ⟨10.1016/j.phpro.2010.01.032⟩ |
Formation de champ de déplacements à partir des signaux bruts. Application à l\'imagerie ultrasonore en synthèse d\'ouvertureXXIIe Colloque GRETSI - Traitement du Signal et des Images (GRETSI\textquoteright09), 2009, Dijon, France. pp.ID341 |
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Real-time specific beamforming applied to motion trajectory estimation in ultrasound imagingIEEE International Ultrasonics Symposium, 2009, Roma, Italy. pp.1342-1345, ⟨10.1109/ULTSYM.2009.5441925⟩ |
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Tangential sound field oscillations for 2D motion estimation in echocardiographyIEEE International Ultrasonics Symposium, 2009, Roma, Italy. pp.498-501, ⟨10.1109/ULTSYM.2009.5441917⟩ |
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Two-dimensional least-squares estimation for motion tracking in ultrasound elastographyIEEE EMBC, 2007, Lyon, France. pp.2155-2158, ⟨10.1109/IEMBS.2007.4352749⟩ |
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Parametric deformable block matching for ultrasound imagingIEEE International Conference on Image Processing ICIP\textquoteright07, 2007, San Antonio, USA, Unknown Region. pp.II-429-II-432, ⟨10.1109/ICIP.2007.4379184⟩ |
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Static mechanical assessment of elastic Young\textquoterights modulus of tissue mimicking materials used for medical imagingProc. 29th Int. IEEE EMBC 2007, 2007, Lyon, France. pp.3450-3453, ⟨10.1109/IEMBS.2007.4353073⟩ |
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Beamforming techniques for motion estimation in ultrasound elastographyIEEE International Ultrasonics Symposium, 2007, New-York, USA, Unknown Region. pp.1953-1956, ⟨10.1109/ULTSYM.2007.491⟩ |
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Improved Beamforming for Lateral Oscillations in Elastography Using Synthetic Aperture ImagingIEEE International Ultrasonics Symposium, 2006, Vancouver, Canada. pp.(2168-2171), ⟨10.1109/ULTSYM.2006.548⟩ |
Two-dimensional sub-sample estimation using plane phase fittingIEEE ICASSP, 2006, Toulouse, France. pp.1152-1155, ⟨10.1109/ICASSP.2006.1660552⟩ |
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3D dynamical ultrasonic model of pulsating wall vesselsUltrasonics International (UI\textquoteright05) and World Congress on Ultrasonics (WCU), 2006, Beijing, P.R., China. pp.e179-e183, ⟨10.1016/j.ultras.2006.06.045⟩ |
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Hardware implementation for receive beamforming and transverse elasticity imagingIEEE International Ultrasonics Symposium, 2004, Montréal, Canada. pp.1488-1491, ⟨10.1109/ULTSYM.2004.1418084⟩ |
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Direct estimation of the lateral strain field using a double oscillating point spread function with a scaling factor estimatorSPIE Medical Imaging, 2004, San Diego, USA, Unknown Region. pp.163-172, ⟨10.1117/12.533023⟩ |
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A new 3D ultrasonic model of pathologic carotid vessels based on generalized cylindersIEEE International Ultrasonics Symposium, 2004, Montreal, Canada. pp.2177-2180 |
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Spatial Anisotropic Diffusion and Local Time Correlation Applied to Segmentation of Vessels in Ultrasound Image SequencesIEEE International Ultrasonics Symposium, 2003, Honolulu, Hawaii, USA, Unknown Region. pp.1549-1552 |
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Complete Processing for Intravascular Ultrasound ElastographyWorld Congress on Ultrasonics, 2003, Paris, France. pp.1089-1092 |
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Edge-Preserving reconstruction for Young\textquoterights modulus recovery from ultrasonic dataIEEE Ultrasonics Symposium, 2003, Honolulu, Hawaii, USA, Unknown Region. pp.1919-1922, ⟨10.1109/ULTSYM.2003.1293291⟩ |
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Complete processing for quantitative intravascular ultrasound elastography1st International conference of the Ultrasonic Measurement and Imaging of Tissue Elasticity, 2002, Niagara Falls, Canada |
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Correction of stress decay in intravascular elastography by combination of radial and tangential strainIEEE International Ultrasonics Symposium, 2002, Munich, Germany. pp.1877-1880, ⟨10.1109/ULTSYM.2002.1192675⟩ |
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Signal local compression computation for imaging strains within a vessel mimicking cryogel phantom and a carotid arteryIEEE International Ultrasonics Symposium, 2001, Atlanta, United States |
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Axial strain imaging of sponge and tissu mimicking phantomsAmerican Institute of Utrasound in Medicine, 44th Annual Convention, 2000, San Francisco, United States |
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Axial strain imaging of vessel mimicking cryogel phantomsInt Symposium of IEEE Ultrason, 2000, San Juan, Puerto Rico. pp.1821-1824 |
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Specificities and new developments in intravascular ultrasound imaging44th Annual Convention. American Institute of Ultrasound in Medicine, Apr 2000, San Francisco, CA, United States |
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Strain imaging using a local estimation of scaling factor from RF ultrasound signalsUltrasonic Imaging and Tissue Characterization, 1999, Arlington, United States. pp.54 |
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Effects of bovine muscle composition and structure on ultrasonic measurementsNew developments in guaranteeing the optimal sensory quality of meat, 1999, Madrid, Spain. pp.143-162 |
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Correction of geometric artifacts in intravascular ultrasound imaging during stent implantationInternational Ultrasonics Symposium, 1999, Tahoe, United States. pp.1533-1536 |
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Improving the spatial resolution of intravascular ultrasound imaging with synthetic aperture Fourier-based methodsIEEE, International Ultrasonics Symposium, 1997, Toronto, Canada. pp.1531\textendash1534 |
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Accurate position and orientation parameters correlated to wideband echo: a new approach for classification of fish speciesVIII EUSIPCO, 1995, Trieste, Italy. pp.1833\textendash1836 |
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Wideband inverse filtering to improve active sonar detection in background reverberationVIII EUSIPCO, 1996, Trieste, Italy. pp.1829\textendash1832 |
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Fourier-Based imaging applied to synthetic aperture sonarIEEE Oceans\textquoteright96, 1996, Fort Lauderdale, United States. pp.1521\textendash1526 |
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Estimation of the causal impulse response of underwater targetICASSP'94, May 1994, Adélaïde, Australia |
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Sea-bottom backscattering modeling with a wideband constant beamwidth sonar at normal incidenceIEEE International Ultrasonics Symposium, 1995, Seattle, United States. pp.1077\textendash1080 |
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Estimation of the causal impulse response of an underwater targetIEEE Int. Conf. on ASSP, 1994, Adelaide, Australia. pp.385\textendash388 |
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Analysis of sedimentary bottom impulse response using a wide band sonarIEEE Oceans\textquoteright94, 1994, Brest, France. pp.I.813-I.818 |
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Bottom classification using information in the spectral domain and time-frequency domainIEEE Oceans\textquoteright94, 1994, Brest, France. pp.II.659-II.664 |
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Time-frequency representation adapted to chirp signals : application to analysis of sphere scatteringIEEE International Ultrasonics Symposium, 1994, Cannes, France. pp.1139\textendash1142 |
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Time frequency representation adapted to shirp signals : application to analysis of sphere scatteringIEEE International ultrasonic symposium, Nov 1994, Cannes, France |
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Identification d\textquoterightun système sonar large bande3ème Journées d\textquoterightAcoustique Physique sous-marine et ultrasonore, 1993, Le Havre, France |
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Analyse en large bande du comportement acoustique du fond sous-marin14. Colloque GRETSI, Sep 1993, Juan-les-Pins, France |
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Analyse en large bande du comportement acoustique du fond sous-marin14e Colloque sur le traitement du signal et des images, 1993, Juan-les-Pins, France. pp.1163\textendash1166 |
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Spectral characterization of lake bottom echo signals using a wideband sonarConference on underwater acoustics., Sep 1992, Luxemburg, Luxembourg |
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Spectral characterization of lake bottom echo signals using a wideband sonaEuropean Conf. on Underwater Acoustics, 1992, Luxembourg, Luxembourg. pp.477\textendash480 |
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DENSONIC : an ultrasonic system for the monitoring of submarine batteriesUndersea Defence Technology, 1992, London, United Kingdom. pp.90\textendash94 |
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Time-frequency analysis applied to sandy bottom echoesIEEE Ultrasonics Symposium, 1992, Tucson, United States. pp.345\textendash348 |
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Classification of lake bottom echo signals using a wideband sonar systemProceedings of the 14th International Congress on Acoustics, 1992, Tucson, China. pp.B2-2 |
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Speed of sound in sulfuric acid solution : application to density measurementIEEE Ultrasonics symposium, 1992, Tucson, United States. pp.969-972 |
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Time frequency analysis applied to sandy bottom echoesIEEE Ultrasonics Symposium., Oct 1992, Tucson, United States |
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Quantification de l’incertitude dans le cas des signaux médicaux avec bruit d’annotationIntelligence Artificielle pour l'imgerie biomédicale (IABM 2026), Mar 2026, Lyon, France |
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Comparaison de Méthodes d’Apprentissage pour l’Annotation Semi-Automatique Multi-labels des Micro-EmbolesIABM 2025 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2025, Nice, France |
Classification multi-représentation d’emboles cérébraux à partir d’un dispositif de Doppler transcrânienIABM 2023 - Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2023, Paris, France |
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Hyperquaternionic Unitary Symplectic Groups: A Unifying Tool for PhysicsCGI, Jul 2022, Genève, Switzerland |
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Differential Geometry Revisited by Biquaternion Clifford AlgebraLecture Notes in Computer Science - Curves and Surfaces, 9213, pp.216-242, 2015, 978-3-319-22804-4. ⟨10.1007/978-3-319-22804-4_17⟩ |
Phase-Based Heart Motion Estimation in Multimodality Cardiac ImagingPatrick Clarysse, Denis Friboulet. Multi-Modality Cardiac Imaging, Wiley, pp.217-235, 2015, 9781848212350. ⟨10.1002/9781118574362.ch6⟩ |
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Estimation du mouvement du coeur basée sur la phase en imagerie cardiaque multimodalitésPatrick Clarysse, Denis Friboulet. Traitement et analyse des images cardiaques - Traité IC2 Série Information et Science du vivant, Hermès-Lavoisier, pp.221-248, 2015, 978-2-7462-2563-3 |
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Imagerie médicale ultrasonoreBRIGUET André, FANET Hervé, SAPPEY-MARINIER Dominique, VRAY Didier. Imagerie médicale à base de champs magnétiques et d'ultrasons, Hermes-Lavoisier, pp.NA, 2014, Traité EGEM, série Electronique et micro-électronique |
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Ultrasound Medical ImagingHervé Fanet. Medical Imaging Based on Magnetic Fields and Ultrasounds, John Wiley & Sons, Inc., pp.1-72, 2014, 978-1848215023. ⟨10.1002/9781118761236.ch1⟩ |
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Analytic Video (2D+T) Signals by Clifford Fourier Transforms in Multiquaternion Grassmann-Hamilton-Clifford AlgebrasHitzer, Eckhard; Sangwine, Stephen J. Quaternion and Clifford Fourier transforms and Wavelets, TIM/Birkhauser: Springer, pp.350, 2013, 978-3-0348-0602-2 |
Demonstration software for segmentation of the dermis in 50 MHz ultrasound 2D images of the skin2018 |