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المؤلفون: Hussein, Burhan Rashid, Meurée, Cédric, Gaubert, Malo, Masson, Arthur, Kerbrat, Anne, Combès, Benoît, Galassi, Francesca
المساهمون: Neuroimagerie: méthodes et applications (EMPENN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAL, IMAGE ET LANGAGE (IRISA-D6), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département de Neuroradiology [Rennes], Service de Neurologie [Rennes] = Neurology [Rennes], CHU Pontchaillou [Rennes], ANR-21-RHUS-0014,Primus,Transforming the care of patients with Multiple Sclerosis using a multidimensional data-driven clinical decision support system(2021), Service de Neuroradiologie [Rennes], Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique)
المصدر: IABM 2023-Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale
IABM 2023-Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Mar 2023, Paris, France
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
20th IEEE International Symposium on Biomedical Imaging (ISBI 2023)
20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), Apr 2023, Cartagena (Colombia), Colombiaمصطلحات موضوعية: Multiple sclerosis, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], segmentation, medical imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, spinal cord, decision threshold, loss function
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::80af369475e893ae10c5164ff9d098f5
https://hal.science/hal-03865212v2/document -
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المؤلفون: Polina Lemenkova
المساهمون: Schmidt United Institute of Physics of the Earth [Moscow] (IPE), Russian Academy of Sciences [Moscow] (RAS)
المصدر: Contemporary Agriculture, Vol 70, Iss 1-2, Pp 67-75 (2021)
Contemporary Agriculture
Contemporary Agriculture, 2021, 70 (1-2), pp.67-75. ⟨10.2478/contagri-2021-0011⟩مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.3: Object recognition, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, Multispectral image, Open terrain, 010502 geochemistry & geophysics, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, 01 natural sciences, Arctic vegetation, mapping, saga gis, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, geography.geographical_feature_category, [SDE.IE]Environmental Sciences/Environmental Engineering, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement/I.4.3.1: Geometric correction, Agriculture, General Medicine, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], vegetation indices, [SDE]Environmental Sciences, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, medicine.symptom, ACM: I.: Computing Methodologies, [SDE.MCG]Environmental Sciences/Global Changes, Climate change, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Normalized Difference Vegetation Index, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], medicine, [INFO]Computer Science [cs], cartography, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, Overgrazing, 0105 earth and related environmental sciences, geography, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Glacier, 15. Life on land, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [SDE.ES]Environmental Sciences/Environmental and Society, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, 13. Climate action, ndvi, Environmental science, Physical geography, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Vegetation (pathology), iceland
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d343877e11e7eb40a9d92c4e591ccf4e
https://doaj.org/article/a3cb1157740f487d8b454929b1b7e3e5 -
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المؤلفون: Polina Lemenkova
المساهمون: Schmidt United Institute of Physics of the Earth [Moscow] (IPE), Russian Academy of Sciences [Moscow] (RAS)
المصدر: Poljoprivredna Tehnika
Poljoprivredna Tehnika, University of Belgrade, Faculty of Agriculture, 2021, 46 (3), pp.49-60. ⟨10.5937/PoljTeh2103049L⟩مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, [SDE.MCG]Environmental Sciences/Global Changes, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, 010502 geochemistry & geophysics, 01 natural sciences, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, Normalized Difference Vegetation Index, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques, Histogram, Linear regression, medicine, TSAVI, cartography, [INFO]Computer Science [cs], mapping, Leaf area index, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities, agriculture, 0105 earth and related environmental sciences, Remote sensing, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Pixel, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, Mode (statistics), [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, 15. Life on land, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], SAGA GIS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SDE]Environmental Sciences, Line (geometry), landsat TM, Environmental science, medicine.symptom, Vegetation (pathology), environment, Vegetation Index, PVI, ACM: I.: Computing Methodologies, iceland
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1db6d1de130b7f0e91ffb6695ad1be2b
https://doi.org/10.5937/poljteh2103049l -
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المؤلفون: Polina Lemenkova
المساهمون: Schmidt United Institute of Physics of the Earth [Moscow] (IPE), Russian Academy of Sciences [Moscow] (RAS)
المصدر: Bulletin of Natural Sciences Research
Bulletin of Natural Sciences Research, University of Priština-Faculty of Natural Sciences and Mathematics, Kosovska Mitrovica, 2021, 11 (1), pp.29-37. ⟨10.5937/bnsr11-30488⟩مصطلحات موضوعية: Earth observation, 010504 meteorology & atmospheric sciences, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, 0211 other engineering and technologies, 02 engineering and technology, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, 01 natural sciences, Environmental monitoring, Data processing, Geography, [SDE.IE]Environmental Sciences/Environmental Engineering, General Medicine, computer.file_format, Vegetation, ACM: K.: Computing Milieux, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], Mapping, [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Landsat TM, [SDE]Environmental Sciences, Raster graphics, Cartography, Land cover / land use, Geology, ArcGIS, ACM: I.: Computing Methodologies, [SDE.MCG]Environmental Sciences/Global Changes, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Image processing, Land cover, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, Machine learning, Data visceralization, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, Landscape, [INFO]Computer Science [cs], Cluster analysis, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, 15. Life on land, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, 13. Climate action, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, computer, Data modeling
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e8bf4f9e37bff385da5da99855b955f
https://hal.archives-ouvertes.fr/hal-03277625 -
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المؤلفون: Lemenkova, Polina
المساهمون: Schmidt United Institute of Physics of the Earth [Moscow] (IPE), Russian Academy of Sciences [Moscow] (RAS), Lemenkova, Polina
المصدر: Central European Journal of Geography and Sustainable Development
Central European Journal of Geography and Sustainable Development, Romanian Geographical Society-Prahova Branch, 2020, 2 (2), pp.38-51
Central European Journal of Geography and Sustainable Development, Vol 2, Iss 2, Pp 38-51 (2020)مصطلحات موضوعية: [SDE] Environmental Sciences, Geographic information system, Computer science, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, [SDV]Life Sciences [q-bio], [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], computer.software_genre, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 11. Sustainability, Segmentation, General Environmental Science, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.1: Simulation Theory, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Geography (General), geography.geographical_feature_category, [SDE.IE]Environmental Sciences/Environmental Engineering, Sentinel-2A, object based image analysis, ACM: K.: Computing Milieux, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering, GB3-5030, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, [SDV] Life Sciences [q-bio], [SDV.EE] Life Sciences [q-bio]/Ecology, environment, SAGA GIS, machine learning, [SDE]Environmental Sciences, G1-922, [SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Data mining, [SDE.IE] Environmental Sciences/Environmental Engineering, ACM: I.: Computing Methodologies, Physical geography, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDE.MCG]Environmental Sciences/Global Changes, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Image processing, Cities. Urban geography, Land cover, [INFO] Computer Science [cs], Urban area, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, [SDU] Sciences of the Universe [physics], [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, [INFO]Computer Science [cs], Cluster analysis, geography, Pixel, business.industry, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, segmentation, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, Image segmentation, 15. Life on land, [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [SDE.ES]Environmental Sciences/Environmental and Society, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, [SDE.MCG] Environmental Sciences/Global Changes, [INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY], ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, [SDU]Sciences of the Universe [physics], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [SDU.STU] Sciences of the Universe [physics]/Earth Sciences, General Earth and Planetary Sciences, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [SDE.ES] Environmental Sciences/Environmental and Society, GF125, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, business, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.2: Design Methodology, computer
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::218728c3b9c1a67268703b652d357deb
https://zenodo.org/record/4362199 -
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المؤلفون: Polina Lemenkova
المساهمون: Schmidt United Institute of Physics of the Earth [Moscow] (IPE), Russian Academy of Sciences [Moscow] (RAS)
المصدر: Advanced Research in Life Sciences
Advanced Research in Life Sciences, Sciendo, 2020, 4 (1), pp.70-78. ⟨10.2478/arls-2020-0021⟩مصطلحات موضوعية: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), 010504 meteorology & atmospheric sciences, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, Iceland, Pharmaceutical Science, computer science, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, 01 natural sciences, geography, Arctic, Pharmacology (medical), mapping, [SDV.BDD]Life Sciences [q-bio]/Development Biology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Data processing, education, geography.geographical_feature_category, [SDE.IE]Environmental Sciences/Environmental Engineering, Hyperspectral imaging, land cover type, ACM: K.: Computing Milieux/K.8: PERSONAL COMPUTING, Spectral bands, computer.file_format, Vegetation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Landsat TM, [SDE]Environmental Sciences, land cover use, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.3: Enhancement, Raster graphics, ecology, environment, ACM: I.: Computing Methodologies, QGIS, vegetation index, 010506 paleontology, NDVI, [SDE.MCG]Environmental Sciences/Global Changes, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SDV.BID]Life Sciences [q-bio]/Biodiversity, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, Normalized Difference Vegetation Index, Multispectral pattern recognition, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], image analysis, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION, cartography, 0105 earth and related environmental sciences, Remote sensing, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Glacier, modeling, 15. Life on land, data visalization, [SDE.ES]Environmental Sciences/Environmental and Society, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, Complementary and alternative medicine, 13. Climate action, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], satellite image, Environmental science, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01a9024fd117767978c17b6c4af961f8
https://zenodo.org/record/4297179 -
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المؤلفون: Polina Lemenkova
المساهمون: Ocean University of China (OUC)
المصدر: Acta Biologica Marisiensis
Acta Biologica Marisiensis, 2020, 3 (2), pp.10-21. ⟨10.2478/abmj-2020-0007⟩مصطلحات موضوعية: Canopy, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.2: Compression (Coding), 010504 meteorology & atmospheric sciences, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis, Iceland, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, 01 natural sciences, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Glacial period, mapping, media_common, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, 0303 health sciences, Biomass (ecology), geography.geographical_feature_category, [SDE.IE]Environmental Sciences/Environmental Engineering, General Medicine, Vegetation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, SAGA GIS, machine learning, Desertification, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.5: Implementation, [SDE]Environmental Sciences, Landsat TM, vegetation index, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDE.MCG]Environmental Sciences/Global Changes, media_common.quotation_subject, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.2: Region growing, partitioning, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General, 03 medical and health sciences, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.1: Depth cues, cartography, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis/I.4.8.0: Color, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology, 030304 developmental biology, 0105 earth and related environmental sciences, geography, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.1: Pixel classification, Glacier, Enhanced vegetation index, 15. Life on land, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.3: Relaxation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, automatization, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, Arctic, [SDU]Sciences of the Universe [physics], 13. Climate action, Environmental science, Physical geography
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f21705be644329d512bb28e558a0132
https://zenodo.org/record/4198935 -
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المؤلفون: Tor-Díez, Carlos
المساهمون: Département lmage et Traitement Information (IMT Atlantique - ITI), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Ecole nationale supérieure Mines-Télécom Atlantique, François Rousseau, Nicolas Passat, Laboratoire de Traitement de l'Information Medicale (LaTIM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), IMT Atlantique
المصدر: Medical Imaging. Ecole nationale supérieure Mines-Télécom Atlantique, 2019. English. ⟨NNT : 2019IMTA0152⟩
Medical Imaging. IMT Atlantique, 2019. Englishمصطلحات موضوعية: ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, IRM néonatale, Segmentation, Multi-atlas, Topology preservation, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Neonatal MRI, Non-local approach, Approche non-locale, Préservation topologique
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::519781b76fdc9d6e4f01e8fc75f94a8a
https://tel.archives-ouvertes.fr/tel-02391662/file/2019IMTA0152_TorDiez-Carlos.pdf -
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المساهمون: Augmentation visuelle d'environnements complexes (MAGRIT-POST), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Algorithms, Computation, Image and Geometry (LORIA - ALGO), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), Harvard University [Cambridge], Harvard Medical School [Boston] (HMS), Visual Augmentation of Complex Environments (MAGRIT), CURATIVE, Harvard University
المصدر: International Conference in Computing in Cardiology
International Conference in Computing in Cardiology, Sep 2019, Singapore, Singapore. pp.4
HALمصطلحات موضوعية: 03 medical and health sciences, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, 0302 clinical medicine, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, 0206 medical engineering, segmentation methodologies, 02 engineering and technology, FEM simulation, Topology-based image analysis, 020601 biomedical engineering, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software, 030218 nuclear medicine & medical imaging
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91b3e5e91ff9f12b5e7eeb86a30288ee
https://hal.inria.fr/hal-02368810 -
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المؤلفون: Laurent Najman, Ketan Bacchuwar, Jean Cousty, Régis Vaillant
المساهمون: Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), General Electric Medical Systems [Buc] (GE Healthcare), General Electric Medical Systems
المصدر: International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2017, 12 (7), pp.1179-1188. ⟨10.1007/s11548-017-1612-7⟩مصطلحات موضوعية: Cardiac Catheterization, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Biomedical Engineering, Health Informatics, 02 engineering and technology, Mathematical morphology, Percutaneous coronary intervention, Scale space, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Humans, Medicine, mathematical morphology, Radiology, Nuclear Medicine and imaging, Computer vision, Segmentation, Angioplasty, Balloon, Coronary, Connected component, guiding catheter, Landmark, business.industry, segmentation, 020206 networking & telecommunications, General Medicine, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation/I.4.6.0: Edge and feature detection, Computer Graphics and Computer-Aided Design, Computer Science Applications, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, Tree (data structure), cardiology, Fluoroscopy, Conventional PCI, 020201 artificial intelligence & image processing, Surgery, Computer Vision and Pattern Recognition, Artificial intelligence, business, Precision and recall, Algorithms
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac85b714f95508f112957d35d49038d8
https://doi.org/10.1007/s11548-017-1612-7
