Design of Virtual Learning Environments: Learning Analytics and Identification of Affordances and Barriers von Qvist, Pekka, Kangasniemi, Tuomas, Palomäki, Sonja, Seppänen, Jenni, Joensuu, Pekka, Natri, Olli, Närhi, Marko, Palomäki, Eero, Tiitu, Hannu, Nordström, Katrina

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FOERFARANDE FOER ELEKTRISKT BLAD von KANGASNIEMI, JUHA TUOMAS

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Performance of a 3D convolutional neural network in the detection of hypoperfusion at CT pulmonary angiography in patients with chronic pulmonary embolism: a feasibility study von Vainio, Tuomas, Mäkelä, Teemu, Savolainen, Sauli, Kangasniemi, Marko

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Leveraging open dataset and transfer learning for accurate recognition of chronic pulmonary embolism from CT angiogram maximum intensity projection images von Vainio, Tuomas, Mäkelä, Teemu, Arkko, Anssi, Savolainen, Sauli, Kangasniemi, Marko

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Entropy in uniformly quasiregular dynamics von KANGASNIEMI, ILMARI, OKUYAMA, YÛSUKE, PANKKA, PEKKA, SAHLSTEN, TUOMAS

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Deep learning-aided extraction of outer aortic surface from CT angiography scans of patients with Stanford type B aortic dissection von Kesävuori, Risto, Kaseva, Tuomas, Salli, Eero, Raivio, Peter, Savolainen, Sauli, Kangasniemi, Marko

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Automatic segmentation of extensor carpi ulnaris tendon and detection of tendinosis with convolutional neural networks von Hämäläinen, Mathias, Sormaala, Markus, Kaseva, Tuomas, Salli, Eero, Savolainen, Sauli, Kangasniemi, Marko

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Cheeger's differentiation theorem via the multilinear Kakeya inequality von Bate, David, Kangasniemi, Ilmari, Orponen, Tuomas

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Cheeger's differentiation theorem via the multilinear Kakeya inequality von Bate, David, Kangasniemi, Ilmari, Orponen, Tuomas

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Entropy in uniformly quasiregular dynamics von Kangasniemi, Ilmari, Okuyama, Yûsuke, Pankka, Pekka, Sahlsten, Tuomas

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