Deep Learning for Medical and Industrial Imaging – an online networking event
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 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.
Program
12.00 – 12.15 Jussi Tohka, “Biomedical Image Analysis Method Development at UEF, KUBIAC image Analysis Center”
12.15 – 12.30 Riccardo De Feo “Deep learning fundamentals”
12.30 – 12.45 Juan Miguel Valverde “Image segmentation using convolutional neural networks”
12.45 – 13.00 Timo Lähivaara “Simulation based deep neural networks for wave problems”
13.00 – 13.15 Robert Ciszek “Deep learning for reconstruction of MR images”
13.15 – 13.30 Timo Leppänen ““Neural network analysis of sleep recordings – potential to fully automatized diagnosis of obstructive sleep apnea”
13.30 – 13.45 Sami Väänänen/Tomi Nissinen “Dual-energy x-ray absorptiometry (DXA) image datasets and current projects in UEF and KUH for machine learning based osteoporosis diagnostics”
13.45 – 14.15 Discussion