Registration <\/a> (free of charge)<\/p>\n\n\n\n14th<\/sup> May 2020 12.00 – 14.15<\/p>\n\n\n\nDeep learning is re-shaping the analysis approaches used for industrial and (bio)medical imaging. This online webinar\/networking event introduces recent advances in the development of deep learning applications in Kuopio area. By this event, we hope to recognize new synergies in this research area, both in methodological and application perspectives. Each presentation is 10 minutes followed by 5 minutes of discussion. The event concludes with general discussion in which it will possible to interact with individual presenters. The link to the event will provided later.<\/p>\n\n\n\n
Program<\/p>\n\n\n\n
12.00 \u2013 12.15 Jussi Tohka, \u201cBiomedical Image Analysis Method Development at UEF, KUBIAC image Analysis Center\u201d<\/p>\n\n\n\n
12.15 \u2013 12.30 Riccardo De Feo \u201cDeep learning fundamentals\u201d<\/p>\n\n\n\n
12.30 \u2013 12.45 Juan Miguel Valverde \u201cImage segmentation using convolutional neural networks\u201d<\/p>\n\n\n\n
12.45 \u2013 13.00 Timo L\u00e4hivaara \u201cSimulation based deep neural networks for wave problems\u201d<\/p>\n\n\n\n
13.00 \u2013 13.15 Robert Ciszek \u201cDeep learning for reconstruction of MR images\u201d<\/p>\n\n\n\n
13.15 \u2013 13.30 Timo Lepp\u00e4nen \u201c\u201cNeural network analysis of sleep recordings \u2013 potential to fully automatized diagnosis of obstructive sleep apnea\u201d<\/p>\n\n\n\n
13.30 \u2013 13.45 Sami V\u00e4\u00e4n\u00e4nen\/Tomi Nissinen \u201cDual-energy x-ray absorptiometry (DXA) image datasets and current projects in UEF and KUH for machine learning based osteoporosis diagnostics\u201d<\/p>\n\n\n\n
13.45 \u2013 14.15 Discussion<\/p>\n","protected":false},"excerpt":{"rendered":"
Organized jointly by Kuopio Biomedical Image Analysis Center and Department of Applied Physics Registration (free of charge) 14th May 2020 12.00 – 14.15 Deep learning is re-shaping the analysis approaches used for industrial and (bio)medical imaging. This online webinar\/networking event introduces recent advances in the development of deep learning applications in Kuopio area. By this […]<\/p>\n","protected":false},"author":329,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-307","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"acf":[],"yoast_head":"\n
Deep Learning for Medical and Industrial Imaging \u2013 an online networking event - Kubiac<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogs.uef.fi\/kubiac\/2020\/04\/21\/deep-learning-for-medical-and-industrial-imaging-an-online-networking-event\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning for Medical and Industrial Imaging \u2013 an online networking event - Kubiac\" \/>\n<meta property=\"og:description\" content=\"Organized jointly by Kuopio Biomedical Image Analysis Center and Department of Applied Physics Registration (free of charge) 14th May 2020 12.00 – 14.15 Deep learning is re-shaping the analysis approaches used for industrial and (bio)medical imaging. 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