Vladyslav Andriiashen

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

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

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

Coban, S.B, Andriiashen, V, & Ganguly, P.S. (2020). Apple CT Data: Ground truth reconstructions - 1 of 6. doi:10.5281/zenodo.4550729

Coban, S.B, Andriiashen, V, & Ganguly, P.S. (2020). Apple CT Data: Simulated parallel-beam tomographic datasets. doi:10.5281/zenodo.4212301

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