Vladyslav Andriiashen

- Full Name
- V. Andriiashen
- Function(s)
- PhD student
- Vladyslav.Andriiashen@cwi.nl
- Telephone
- +31 20 592 4010
- Room
- L010
- Department(s)
- Computational Imaging
Publications
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Andriiashen, V, & Kozhevnikov, D. (2021). Development of the projection-based material decomposition algorithm for Multienergy CT. IEEE Transactions on Radiation and Plasma Medical Sciences, 5(4), 517–527. doi:10.1109/TRPMS.2020.3022479
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Andriiashen, V, van Liere, R, van Leeuwen, T, & Batenburg, K.J. (2021). Unsupervised foreign object detection based on dual-energy absorptiometry in the food industry. Journal of Imaging, 7(7). doi:10.3390/jimaging7070104
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Leuschner, J, Schmidt, M, Ganguly, P.S, Andriiashen, V, Coban, S.B, Denker, A, … van Eijnatten, M.A.J.M. (2021). Quantitative comparison of deep learning-based image reconstruction methods for low-dose and sparse-angle CT applications. Journal of Imaging, 7, 44.1–44.49. doi:10.3390/jimaging7030044
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Coban, S.B, Andriiashen, V, & Ganguly, P.S. (2020). Apple CT Data: Ground truth reconstructions - 1 of 6. doi:10.5281/zenodo.4550729
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Coban, S.B, Andriiashen, V, & Ganguly, P.S. (2020). Apple CT Data: Simulated parallel-beam tomographic datasets. doi:10.5281/zenodo.4212301
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Kostenko, A, Andriiashen, V, & Batenburg, K.J. (2018). Registration-based multi-orientation tomography. Optics Express, 26(22), 28982–28995. doi:10.1364/OE.26.028982
Current projects with external funding
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Non-destructive 3D spectral imaging: applications in the poultry industry ()