| Reconstruction of highly porous structures from FIB‐SEM using a deep neural network trained on synthetic images C Fend, A Moghiseh, C Redenbach, K Schladitz Journal of Microscopy 281 (1), 16-27, 2021 | 31 | 2021 |
| A hybrid quantum image edge detector for the NISQ era A Geng, A Moghiseh, C Redenbach, K Schladitz Quantum Machine Intelligence 4 (2), 15, 2022 | 14 | 2022 |
| Characterization of the formation of filter paper using the Bartlett spectrum of the fiber structure M Lehmann, J Eisengräber-Pabst, J Ohser, A Moghiseh Image Analysis and Stereology 32 (2), 77-87, 2013 | 12 | 2013 |
| Polarization imaging for surface fiber orientation measurements of carbon fiber sheet molding compounds D Schommer, M Duhovic, T Hoffmann, J Ernst, K Schladitz, A Moghiseh, ... Composites Communications 37, 101456, 2023 | 10 | 2023 |
| Improved FRQI on superconducting processors and its restrictions in the NISQ era A Geng, A Moghiseh, C Redenbach, K Schladitz Quantum Information Processing 22 (2), 104, 2023 | 9 | 2023 |
| Comparing optimization methods for deep learning in image processing applications A Geng, A Moghiseh, C Redenbach, K Schladitz tm-Technisches Messen 88 (7-8), 443-453, 2021 | 8 | 2021 |
| Application of deep learning for crack segmentation on concrete surface O Müller, A Moghiseh, H Stephani, N Rottmayer, F Huang Forum Bildverarbeitung, 1-19, 2018 | 8 | 2018 |
| The PPI value of open foams and its estimation using image analysis J Ohser, C Redenbach, A Moghiseh International journal of materials research 105 (7), 671-678, 2014 | 7 | 2014 |
| Improved estimation of fiber length from 3-dimensional images J Ohser, K Sandau, J Kampf, I Vecchio, A Moghiseh Image Analysis and Stereology 32 (1), 45-55, 2013 | 5 | 2013 |
| Quantum image processing on real superconducting and trapped-ion based quantum computers A Geng, A Moghiseh, C Redenbach, K Schladitz tm-Technisches Messen 90 (7-8), 445-454, 2023 | 4 | 2023 |
| Minimal paths for 3d crack detection in concrete F Müsebeck, A Moghiseh, C Redenbach, K Schladitz M. Heizmann| T. Längle, 143, 2020 | 4 | 2020 |
| Analysis of the package diameter in winding processes by image analysis and a linear regression model S Gramsch, EG Bell, A Moghiseh, A Schmeißer Journal of Engineered Fibers and Fabrics 17, 15589250211073249, 2022 | 3 | 2022 |
| Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data C Fend, A Moghiseh, C Redenbach, K Schladitz Machine Learning for Cyber Physical Systems, 123-130, 2021 | 3 | 2021 |
| Object detection on supermarket shelves with a deep network C Fend, H Stephani, A Moghiseh, T Weibel Proc. 3rd European Machine Vision Forum, Vision for Industry 4.0 and beyond, 2018 | 3 | 2018 |
| Modellbasiertes Lernen in der Oberflächeninspektion H Stephani, T Weibel, A Moghiseh at-Automatisierungstechnik 65 (6), 406-415, 2017 | 3 | 2017 |
| LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions L Krupp, J Bley, I Gobbi, A Geng, S Müller, S Suh, A Moghiseh, ... arXiv preprint arXiv:2407.17024, 2024 | 2 | 2024 |
| Hybrid quantum transfer learning for crack image classification on NISQ hardware A Geng, A Moghiseh, C Redenbach, K Schladitz arXiv preprint arXiv:2307.16723, 2023 | 2 | 2023 |
| Challenges and approaches when realizing online surface inspection systems with deep learning algorithms H Stephani, T Weibel, R Rösch, A Moghiseh Discover Data 1 (1), 3, 2023 | 2 | 2023 |
| Improved anisotropic Gaussian filters A Keilmann, M Godehardt, A Moghiseh, C Redenbach, K Schladitz arXiv preprint arXiv:2303.13278, 2023 | 2 | 2023 |
| An unambiguous cloudiness index for nonwovens M Godehardt, A Moghiseh, C Oetjen, J Ohser, K Schladitz Journal of Mathematics in Industry 12 (1), 9, 2022 | 2 | 2022 |
Katja SchladitzFraunhofer ITWM, Kaiserslautern, Image Processing在 itwm.fraunhofer.de 的电子邮件经过验证
