Guillaume Noyel
8
Documents
Identifiants chercheurs
guillaume-noyel- Arxiv : noyel_g_1
- ResearcherId : P-5930-2016
- IdRef : 136317006
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0000-0002-7374-548X
- VIAF : 215158650
- ISNI : 0000000359301273
- Google Scholar : https://scholar.google.fr/citations?user=8RJLn60AAAAJ
Présentation
Guillaume Noyel was born in France, and obtained a MSc in Electrical Engineering from CPE-Lyon, France. He received his PhD in Mathematical Morphology from Mines ParisTech, Paris, in 2008 before working as a researcher in image processing at the Michelin Research Centre for 6 years. His principal fields of expertise are multivariate image analysis and segmentation, mathematical morphology, texture analysis and 3D image reconstruction. Guillaume has worked on medical applications for Diabetic Retinopathy, tumour detection and on industrial applications for quality control and 3D imaging. He has been published in several journals and has obtained several patents in these fields. He has led several scientific joint efforts between industry and public research centres. Dr. Noyel joined IPRI in 2014 as a Research Director. He is a Visiting Researcher in the Department of Mathematics and Statistics, of the University of Strathclyde, Glasgow, United Kingdom. In 2021, he obtained his Accreditation to supervise Research (Habilitation à Diriger des Recherches) from the University of Reims Champagne-Ardenne, France, in the field of Computer Vision. He also joined Télécom Saint-Etienne and Hubert Curien Lab from Jean Monnet University in Saint-Etienne, France, as a lecturer and researcher.
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Superimposition of eye fundus images for longitudinal analysis from large public health databasesBiomedical Physics & Engineering Express, 2017, 3 (4), ⟨10.1088/2057-1976/aa7d16⟩
Article dans une revue
hal-01342960v3
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Registration of retinal images from Public Health by minimising an error between vessels using an affine model with radial distortionsIEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), IEEE, Apr 2019, Venice, Italy. pp.561-564, ⟨10.1109/ISBI.2019.8759415⟩
Communication dans un congrès
hal-02099845v1
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Enhancing Eye Fundus Images for Diabetic Retinopathy ScreeningAmerican Diabetes Association 77th Scientific Sessions - ADA2017, American Diabetes Association, Jun 2017, San Diego, CA, United States
Communication dans un congrès
hal-03162202v1
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Contrast enhancement of eye fundus imagesIDF2015 - World Diabetes Congress, International Diabetes Federation, Nov 2015, Vancouver, Canada. ⟨10.13140/RG.2.1.3180.9367⟩
Communication dans un congrès
hal-03162208v1
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Registration of retinal images from Public Health by minimising an error between vessels using an affine model with radial distortionsIEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Apr 2019, Venice, Italy. , 2019
Poster de conférence
hal-02099855v1
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Enhancing Eye Fundus Images for Diabetic Retinopathy ScreeningAmerican Diabetes Association 77th Scientific Sessions - ADA2017, Jun 2017, San Diego, CA, United States. , 608-P / 608, 2017
Poster de conférence
hal-01539980v1
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Contrast enhancement of eye fundus imagesInternational Diabetes Federation. IDF2015 - World Diabetes Congress, Nov 2015, Vancouver, Canada. , IDF2015 - World Diabetes Congress 2015, 1110-P, 2015, ⟨10.13140/RG.2.1.3180.9367⟩
Poster de conférence
hal-01243876v1
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Analyse morphologique et logarithmique de grandes banques d'imagesVision par ordinateur et reconnaissance de formes [cs.CV]. Université de Reims Champagne-Ardenne, 2021
HDR
tel-03343079v1
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