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David Helbert
Professeur des Universités CNU 61
76%
Libre accès
68
Documents
Affiliations actuelles
- 217072
- 444300
Identifiants chercheurs
- david-helbert
- 0000-0001-6518-1509
Présentation
* 2024-2029: **Vice-Dean for International Relations and External Relations**, Faculty of Fundamental and Applied Sciences, University of Poitiers
* 2022-2027: **Responsible for Master Signal and Image processing (Connected Objects)**, 1st year, Faculty of Fundamental and Applied Sciences, University of Poitiers
* 2023-2027: **Elected member of the Xlim Laboratory Council**, University of Poitiers
* 2020-2023: **Elected member of the Academic Council and of the Research Commission**, University of Poitiers
* 2018-2021: **Director of the Electrical Engineering Department**, Faculty of Fundamental and Applied Sciences, University of Poitiers
* 2016-2019: **Head of the ICONES team, Xlim-Asali** and **member of the executive board of Xlim**, Poitiers site.
* 2024-2029: **Vice-Dean for International Relations and External Relations**, Faculty of Fundamental and Applied Sciences, University of Poitiers
* 2022-2027: **Responsible for Master Signal and Image processing (Connected Objects)**, 1st year, Faculty of Fundamental and Applied Sciences, University of Poitiers
* 2023-2027: **Elected member of the Xlim Laboratory Council**, University of Poitiers
* 2020-2023: **Elected member of the Academic Council and of the Research Commission**, University of Poitiers
* 2018-2021: **Director of the Electrical Engineering Department**, Faculty of Fundamental and Applied Sciences, University of Poitiers
* 2016-2019: **Head of the ICONES team, Xlim-Asali** and **member of the executive board of Xlim**, Poitiers site.
Publications
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Machine learning method to measure the transmission matrix of a multimode optical fiber without reference beam for 3D beam tailoringPhotonic West 2024 : Laser Resonators, Microresonators, and Beam Control XXVI, SPIE, Jan 2024, San francisco, USA, United States. Paper Number: 12871-31
Communication dans un congrès
hal-04245837v1
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Contrast enhanced MRI synthesis on glioma subjects using generative adversarial networksInternational Conference on Advances in Biomedical Engineering, Oct 2023, Beirut, Lebanon. pp.70-74, ⟨10.1109/ICABME59496.2023.10293027⟩
Communication dans un congrès
hal-03861011v1
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Multivariate curve resolution with autoencoders for CARS microspectroscopyComputational Imaging Conference, IS&T Electronic Imaging, Jan 2023, San Francisco, United States
Communication dans un congrès
hal-03831753v1
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Face expressions understanding by geometrical characterization of deep human faces representationElectronic Imaging, IS&T, Jan 2023, San Francisco (CA), United States. pp.292-1-292-6, ⟨10.2352/EI.2023.35.9.IPAS-292⟩
Communication dans un congrès
hal-03737727v1
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Apprentissage automatique et recouvrement de phase pour le contrôle de l’émission d’une fibre multimodaleJournées nationales d'optique guidée (JNOG), Société française d'optique (SFO), Apr 2023, Lyon, France
Communication dans un congrès
hal-04541718v1
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ScoreCAM GNN : une explication optimale des réseaux profonds sur graphesXXVIIIe Colloque GRETSI - Traitement du Signal et des Images, Sep 2022, Nancy, France
Communication dans un congrès
hal-03686265v1
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Recent advances in cell and tissue imaging by multiplex CARS microspectroscopyInternational conference on Laser Applications in Life Science, Apr 2022, Nancy, France
Communication dans un congrès
hal-03678603v1
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Toward Whole Brain Label-free Molecular Imaging with Single-cell Resolution sing Ultra-broadband Multiplex CARS MicrospectroscopySPIE Photonics West, Jan 2022, San Francisco, California, United States. pp.71, ⟨10.1117/12.2626342⟩
Communication dans un congrès
hal-03531147v1
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A Novel Video Prediction Algorithm based on Robust Spatiotemporal Convolutional LongShort Term MemoryInternational Congress on Information and Communication Technology, Feb 2022, London, United Kingdom. ⟨10.1007/978-981-19-1610-6_17⟩
Communication dans un congrès
hal-03412403v1
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End-to-End Video Snapshot Compressive Imaging using Video TransformersInternational Conference on Image Processing Theory, Tools and Applications, Apr 2022, Salzburg, Austria. ⟨10.1109/IPTA54936.2022.9784128⟩
Communication dans un congrès
hal-03593050v1
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Siamese convolutional neural network for new multiple sclerosis lesion segmentationMSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure. MICCAI 2021, Sep 2021, Strasbourg, France
Communication dans un congrès
hal-03359032v1
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3T MRI super-resolution using 3D cycle-consistent generative adversarial networkInternational Conference on Advances in Biomedical Engineering, Oct 2021, Wardanyeh, Lebanon. pp.85-88, ⟨10.1109/ICABME53305.2021.9604810⟩
Communication dans un congrès
hal-03335726v1
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Explicability in resting-state fMRI for gender classificationInternational Conference on Advances in Biomedical Engineering, Oct 2021, Wardanyeh, Lebanon. pp.5-8, ⟨10.1109/ICABME53305.2021.9604842⟩
Communication dans un congrès
hal-03335712v1
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Segmentation integration in multivariate curve resolution applied to coherent anti-Stokes Raman scatteringConference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, Jun 2021, Munich, Germany. pp.jsiv_5_6, ⟨10.1109/CLEO/Europe-EQEC52157.2021.9541833⟩
Communication dans un congrès
hal-03191353v1
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CARSData: Data analysis and machine learning applied to CARS spectroscopy”. 3rd edition of the Σ-Tech Daysxplore the world of biomaterials with advanced photonics and artificial intelligence, Oct 2021, limoges, France
Communication dans un congrès
hal-03555137v1
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7T MRI super-resolution with Generative Adversarial NetworkIS&T Electronic Imaging 2021 Symposium, 2021, San Francisco, United States. ⟨10.2352/ISSN.2470-1173.2021.18.3DIA-106⟩
Communication dans un congrès
hal-03003045v1
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CNN for multiple sclerosis lesion segmentation: How many patients for a fully supervised method?International Conference on Advances in Biomedical Engineering, Oct 2021, Wardanyeh, Lebanon. pp.30-33, ⟨10.1109/ICABME53305.2021.9604859⟩
Communication dans un congrès
hal-03335735v1
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Apprentissage d’un CNN sur la segmentation des lésions de sclérose en plaques avec auto-supervisionRFIAP, Jun 2020, Vannes, France
Communication dans un congrès
hal-03541662v1
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Learning a CNN on multiple sclerosis lesion segmentation with self-supervision3D Measurement and Data Processing, IS&T Electronic Imaging 2020 Symposium, Jan 2020, San Francisco, United States. ⟨10.2352/ISSN.2470-1173.2020.17.3DMP-002⟩
Communication dans un congrès
hal-02378210v1
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Spectral Graph Wavelet Based Nonrigid Image RegistrationIEEE International Conference on Image Processing (ICIP 2018), Oct 2018, Athènes, Greece. ⟨10.1109/ICIP.2018.8451013⟩
Communication dans un congrès
hal-01786123v1
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Image Registration for Biomedical Images on Irregular GridsCORESA 2018 (COmpression et REprésentation des Signaux Audiovisuels, Nov 2018, Poitiers, France
Communication dans un congrès
hal-01897326v1
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A Data-Driven Approach to Feature Space Selection for Robust Micro-Endoscopic Image ReconstructionIEEE International Conference on Image Processing (ICIP), Sep 2017, Beijing, China. pp.2239-2243, ⟨10.1109/ICIP.2017.8296680⟩
Communication dans un congrès
hal-01519837v1
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Automatic detection of the retinal neovascularization in diabetic patients.ARVO Annual Meeting, May 2014, Orlando, United States. pp.207 - B0015
Communication dans un congrès
hal-00949305v1
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Restoration of Confocal Images by Hypercomplex diffusionARVO Annual Meeting, May 2014, Orlando, United States. pp.4831 - B0207
Communication dans un congrès
hal-00949297v1
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Compressive Template Matching on Multispectral DataInternational Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada. pp.ID2697
Communication dans un congrès
hal-00798439v1
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Directional Hypercomplex DiffusionInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2013, May 2013, Vancouver, Canada. pp.5765, ⟨10.1109/ICASSP.2013.6637875⟩
Communication dans un congrès
hal-00798555v1
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Metric Tensor for Multicomponent Edge DetectionICIP, Sep 2010, Hong-Kong, Hong Kong SAR China. pp.2
Communication dans un congrès
hal-00493428v1
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Relief Extraction of Rough Textured Reflecting Surface by Image ProcessingEighth International Conference on Quality Control by Artificial Vision 2007, May 2007, Le Creusot, France. http://spie.org/x648.xml?product_id=736719&Search_Origin=QuickSearch&Search_Results_URL=http://spie., ⟨10.1117/12.736719⟩
Communication dans un congrès
hal-00331499v1
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Reconstruction photométrique d'une surface rugueuse à partir d'une seule imageWorkshop Caractérisation multi-échelle de la rugosité, Oct 2007, Poitiers, France
Communication dans un congrès
hal-00337467v1
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Rough Surfaces and Relief Extraction by Generalized Lambertian's Photometric ModelIEEE International Conference on Signal Processing and Communication 2007, Nov 2007, Dubaï, United Arab Emirates. http://www.icspc07.org/index.htm
Communication dans un congrès
hal-00331502v1
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Use the discrete geometry to discretize the ridgelet transformWavE: Wavelets and Applications 2006, Jul 2006, EPFL, Lausanne, Switzerland. http://wavelet.epfl.ch/
Communication dans un congrès
hal-00331498v1
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Ridgelet Decomposition: Discrete Implementation and Color DenoisingWavelet Applications in Industrial Processing III, Oct 2005, Boston, MA, United States. ⟨10.1117/12.629569⟩
Communication dans un congrès
hal-00331496v1
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Information Fusion using Covariance Intersection in the Frame of the Evidence TheoryAdvanced Concepts for Intelligent Vision Systems (ACIVS 2004), Aug 2004, Brussels, Belgium. pp.0
Communication dans un congrès
hal-00331438v1
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Application de la Transformée Ridgelet Analytique Discrète en débruitage de videos couleurJournée thématique du GDR ISIS : "Traitements perceptifs couleur dédiés à l'image et à la vidéo", Oct 2004, Poitiers, France
Communication dans un congrès
hal-00337468v1
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La Transformée Ridgelet Analytique Discrète 3D19° Colloque sur le traitement du signal et des images GRETSI 2003, Sep 2003, Paris, France. http://hdl.handle.net/2042/13604
Communication dans un congrès
hal-00331418v1
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3D fast ridgelet transformInternational Conference on Image Processing, Sep 2003, Barcelona, Spain. pp.1021-4, ⟨10.1109/ICIP.2003.1247139⟩
Communication dans un congrès
hal-00331431v1
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EiX-GNN : Concept-level eigencentrality explainer for graph neural networks2023
Pré-publication, Document de travail
hal-03686299v5
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ViT-SCI: Video Transformer is all you need for Video Compressive Sensing2022
Pré-publication, Document de travail
hal-03836798v1
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A size-adaptative segmentation method for better detection of multiple sclerosis lesions2022
Pré-publication, Document de travail
hal-03836787v1
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Robust Spatiotemporal Convolutional Long Short-Term Memory Algorithm for Video Prediction2021
Pré-publication, Document de travail
hal-03836816v1
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Detection of Image Splicing using Illuminant Color Estimation[Research Report] Université de Poitiers (France); Xlim ULR CNRS 7252. 2019
Rapport
hal-02294311v1
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A Wavelet-based Method for the Metabolite Detection and Quantification in Proton Magnetic Resonance Spectroscopy[Research Report] Université de Poitiers (France). 2015
Rapport
hal-02042878v1
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A Theoretic Approach of Classical Operations in Clifford Algebras[Research Report] Université de Poitiers (France). 2012
Rapport
hal-02082136v1
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Evidential Reconstruction of a Sportive Gesture from a Multisensor Acquisition[Research Report] Université de poitiers. 2010
Rapport
hal-02078393v1
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Modélisation de la géométrie en imagerie non conventionnelleTraitement du signal et de l'image [eess.SP]. Université de poitiers, 2019
HDR
tel-02404165v1
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LeMiroirPesquet3D2018
Logiciel
hal-01878477v1
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RetiNeo : RETInopathy diagnosis : NEOvascilarization detection2018
Logiciel
hal-01878443v1
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Capricorn2018
Logiciel
hal-01878437v1
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