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Dive into the research topics where Patrick Weinberger is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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VISION - Versatile AI systems for intelligent and optimized NDT processes
Weinberger, P. (PI)
01.05.2025 → 30.04.2028
Project: Research Project
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PEMOWE - Test network for the energy and mobility transition
Senck, S. (PI), Weinberger, P. (CoI), Huemer, D. K. (CoI), Wagner, A. (CoI) & Lang, V. (CoI)
Interreg Bavaria – Austria 2021 to 2027
01.09.2023 → 31.08.2026
Project: Research Project
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HyperMAT - Hyperspectral characterization and visualization of complex material systems
Glinz, J. (PI), Mohamed, H. H. M. S. (CoI), Weinberger, P. (CoI), Heupl, S. (CoI), Weiser, L. L. (CoI), Höglinger, M. (CoI), Nepelius, L. N. (CoI) & Senck, S. (CoI)
01.07.2023 → 30.06.2028
Project: Research Project
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WIFI - Welding Interaction in Future Industry
Augstein, M. (PI), Kurschl, W. C. (CoI), Altmann, J. (CoI), Weinberger, P. (CoI), Neumayr, T. (CoI) & Pimminger, S. (CoI)
01.10.2016 → 30.09.2018
Project: Research Project
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Applying Layer-Wise Relevance Propagation on U-Net Architectures
Weinberger, P., Fröhler, B., Heim, A., Gall, A., Bodenhofer, U. & Senck, S., 2025, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer, p. 106-121 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15312 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Immersive Analysis: Enhancing Material Inspection of X-Ray Computed Tomography Datasets in Augmented Reality
Gall, A., Heim, A., Weinberger, P., Fröhler, B., Kastner, J. & Heinzl, C., 19 Apr 2024, (Submitted) In: Journal of Nondestructive Evaluation.Research output: Contribution to journal › Article › peer-review
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Unsupervised Segmentation of Industrial X-ray Computed Tomography Data with the Segment Anything Model
Weinberger, P., Schwarz, L., Fröhler, B., Gall, A., Heim, A., Yosifov, M., Bodenhofer, U., Kastner, J. & Senck, S., 1 Jan 2024, (Submitted) In: Journal of Nondestructive Evaluation. 1 p.Research output: Contribution to journal › Article › peer-review
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Application of a modified 3D U-Net convolutional neural network architecture for the inspection of aerospace components
Yosifov, M., Weinberger, P., Fröhler, B., Plank, B., Kastner, J. & Heinzl, C., 2023, In: e-Journal of Nondestructive Testing . 28, 3, 6 p.Research output: Contribution to journal › Conference article
Open Access -
Defect detectability analysis via probability of defect detection between traditional and deep learning methods in numerical simulations
Yosifov, M., Weinberger, P., Reiter, M., Fröhler, B., De Beenhouwer, J., Sijbers, J., Kastner, J. & Heinzl, C., 2023, In: e-Journal of Nondestructive Testing . 28, 3, 10 p.Research output: Contribution to journal › Conference article
Open Access