Vladyslav Andriiashen

Full Name

V. Andriiashen

Email

Vladyslav.Andriiashen@cwi.nl

Room

L021

Department(s)

Computational Imaging

Function(s)

Researcher

Vladyslav Andriiashen

Andriiashen, V. (2025, May 15). Data-driven X-ray image generation for industrial applications.
Andriiashen, V., van Liere, R., van Leeuwen, T., & Batenburg, J. (2024). Quantifying the effect of X-ray scattering for data generation in real-time defect detection. Journal of X-ray Science and Technology, 32(4), 1099–1119. doi:10.3233/XST-230389
Andriiashen, V., van Liere, R., van Leeuwen, T., & Batenburg, J. (2024). X-ray image generation as a method of performance prediction for real-time inspection: A case study. Journal of Nondestructive Evaluation, 43, 79:1–79:13. doi:10.1007/s10921-024-01091-8
Andriiashen, V. (2024). Dual-energy X-ray inspection of chicken fillets containing rib bone fragments. doi:10.5281/zenodo.10579608
Andriiashen, V., van Liere, R., van Leeuwen, T., & Batenburg, J. (2023). CT-based data generation for foreign object detection on a single X-ray projection. Nature Scientific Reports, 13(1). doi:10.1038/s41598-023-29079-w
Andriiashen, V. (2022). FOD CT data: Air pockets in avocado and stone in modelling clay. doi:10.5281/zenodo.6901633
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, J. (2021). Unsupervised foreign object detection based on dual-energy absorptiometry in the food industry. Journal of Imaging, 7(7), 104:1–104:18. doi:10.3390/jimaging7070104
Leuschner, J., Schmidt, M., Ganguly, P., Andriiashen, V., Coban, S., Denker, A., … van Eijnatten, 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., Andriiashen, V., & Ganguly, P. (2020). Apple CT Data: Ground truth reconstructions - 1 of 6. doi:10.5281/zenodo.4550729

Computational Imaging for quality inspection in fruit sorting (PPS Greefa)