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Open Access research that responds to the COVID-19 pandemic...

Strathprints makes available scholarly Open Access content seeking to respond to the medical, scientific, economic and social emergencies arising from the COVID-19 pandemic. Researchers from across the Faculties of Science, Engineering, Business and the Humanities, Arts & Social Sciences (HaSS) are all contributing to improved human understanding of -- or solutions to -- the issues surrounding management of the pandemic and the post-pandemic recovery.

Explore COVID-19 related Open Access research. Or explore all of Strathclyde's Open Access research...

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Number of items: 4.

Article

Kaewrak, Keerati and Soraghan, John and Di Caterina, Gaetano and Grose, Derek (2020) Automatic brain tumour regions segmentation using modified U-Net. Academic Journal for Thai Researchers in Europe, 1 (1). pp. 45-48. ISSN 2730-2784

Book Section

Kaewrak, Keerati and Soraghan, John and Di Caterina, Gaetano and Grose, Derek; Crimi, Alessandro and Bakas, Spyridon, eds. (2021) TwoPath U-Net for automatic brain tumor segmentation from multimodal MRI data. In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer International Publishing AG, Cham, Switzerland. ISBN 978-3-030-72087-2 (In Press)

Basu, Amlan and Kaewrak, Keerati and Petropoulakis, Lykourgos and Di Caterina, Gaetano and Soraghan, John J.; (2020) Modified Capsule Neural Network (Mod-CapsNet) for indoor home scene recognition. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, GBR. ISBN 9781728169279

Conference or Workshop Item

Kaewrak, Keerati and Soraghan, John and Di Caterina, Gaetano and Grose, Derek (2019) Modified U-Net for automatic brain tumor regions segmentation. In: 27th European Signal Processing Conference, 2019-09-02 - 2019-09-06.

This list was generated on Mon May 10 22:08:42 2021 BST.