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Miroslav Yosifov
Miroslav Yosifov
University of Antwerp & University of Applied Sciences Upper Austria
在 fh-wels.at 的电子邮件经过验证
标题
引用次数
引用次数
年份
Probability of detection applied to X-ray inspection using numerical simulations
M Yosifov, M Reiter, S Heupl, C Gusenbauer, B Fröhler, ...
Nondestructive Testing and Evaluation 37 (5), 536-551, 2022
222022
Defect detectability analysis via probability of defect detection between traditional and deep learning methods in numerical simulations
M Yosifov, P Weinberger, M Reiter, B Fröhler, J De Beenhouwer, J Sijbers, ...
Online e-journal of nondestructive testing.-- 28 (3), 1-10, 2023
82023
Extraction and quantification of features in XCT datasets of fibre reinforced polymers using machine learning techniques
MI Yosifov
62020
Unsupervised Segmentation of Industrial X-ray Computed Tomography Data with the Segment Anything Model
P Weinberger, L Schwarz, B Fröhler, A Gall, A Heim, M Yosifov, ...
22024
Application of a modified 3D U-Net convolutional neural network architecture for the inspection of aerospace components
M Yosifov, P Weinberger, B Fröhler, B Plank, J Kastner, C Heinzl
Proc. 12th Conference on Industrial Computed Tomography (iCT) 27, 1-6, 2022
12022
The long journey to the training of a deep neural network for segmenting pores and fibers
P Weinberger, M Yosifov, B Fröhler, J Kastner, C Heinzl
Proc. 11th Conference on Industrial Computed Tomography (iCT), 8-11, 0
1
Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI
M Yosifov, T Lang, V Florian, S Gerth, J De Beenhouwer, J Sijbers, ...
Journal of Nondestructive Evaluation 44 (1), 1-15, 2025
2025
Multivariate interpolation and machine learning models for extreme defects-based fatigue life prediction of Ti6Al4V specimens fabricated by SLM
J Horňas, A Materna, J Glinz, M Yosifov, S Senck
Engineering Fracture Mechanics, 110756, 2024
2024
Anomaly detection by X-ray tomography and probabilistic fatigue assessment of aluminum brackets manufactured by PBF-LB
L Rusnati, M Yosifov, S Senck, R Hubmann, S Beretta
Materials & Design 248, 113467, 2024
2024
Segmentation of pores in carbon fiber reinforced polymers using the U-Net convolutional neural network
M Yosifov, P Weinberger, B Plank, B Fröhler, M Hoeglinger, J Kastner, ...
Acta Polytechnica CTU Proceedings 42, 87-93, 2023
2023
Improving Image Resolution in Microcomputed Tomography Data of Tarsal Bones Using Super-Resolution
S Senck, P Weinberger, A Haghofer, B Wögerer, J Glinz, M Yosifov, ...
Available at SSRN 4820761, 0
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