| 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 | 4 | 2023 |
| Faster Training of Deep Convolutional Neural Networks for Material Science through Transfer Learning P Weinberger, J Maurer, B Fröhler, J Kastner, C Heinzl International Symposium on NDT in Aerospace (2020) Williamsburg, Virgina …, 2020 | 4 | 2020 |
| Segmentation of multiple features in carbon fiber reinforced polymers using a convolutional neural network P Weinberger, B Plank, B Fröhler, J Kastner, C Heinzl Nondestructive Characterization and Monitoring of Advanced Materials …, 2022 | 2 | 2022 |
| 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, ... | 1 | 2024 |
| 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 | 1 | 2022 |
| 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 | |
| Immersive Analysis: Enhancing Material Inspection of X-Ray Computed Tomography Datasets in Augmented Reality A Gall, A Heim, P Weinberger, B Fröhler, J Kastner, C Heinzl arXiv preprint arXiv:2404.12751, 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 |
| NDTFlix: Collaborative remote analysis of X-ray computed tomography datasets B Fröhler, P Weinberger, A Gall, A Heim, D List, D Schwajda, C Anthes, ... | | 2022 |
| 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 | | |
