| Ai system engineering—key challenges and lessons learned L Fischer, L Ehrlinger, V Geist, R Ramler, F Sobiezky, W Zellinger, ... Machine Learning and Knowledge Extraction 3 (1), 56-83, 2020 | 100 | 2020 |
| Evaluation of deep learning architectures for complex immunofluorescence nuclear image segmentation F Kromp, L Fischer, E Bozsaky, IM Ambros, W Doerr, K Beiske, PF Ambros, ... IEEE Transactions on Medical Imaging 40 (7), 1934-1949, 2021 | 87 | 2021 |
| An annotated fluorescence image dataset for training nuclear segmentation methods F Kromp, E Bozsaky, F Rifatbegovic, L Fischer, M Ambros, M Berneder, ... Scientific Data 7 (1), 262, 2020 | 87 | 2020 |
| Computational identification and quantification of trabecular microarchitecture classes by 3-D texture analysis-based clustering A Valentinitsch, JM Patsch, AJ Burghardt, TM Link, S Majumdar, L Fischer, ... Bone 54 (1), 133-140, 2013 | 36 | 2013 |
| Beyond federated learning: On confidentiality-critical machine learning applications in industry W Zellinger, V Wieser, M Kumar, D Brunner, N Shepeleva, R Gálvez, ... Procedia Computer Science 180, 734-743, 2021 | 33 | 2021 |
| An annotated human blastocyst dataset to benchmark deep learning architectures for in vitro fertilization F Kromp, R Wagner, B Balaban, V Cottin, I Cuevas-Saiz, C Schachner, ... Scientific data 10 (1), 271, 2023 | 26 | 2023 |
| Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models SF Baumbach, J Binder, A Synek, FG Mück, Y Chevalier, E Euler, ... BMC medical imaging 17 (1), 23, 2017 | 26 | 2017 |
| Applying AI in practice: key challenges and lessons learned L Fischer, L Ehrlinger, V Geist, R Ramler, F Sobieczky, W Zellinger, ... International Cross-Domain Conference for Machine Learning and Knowledge …, 2020 | 24 | 2020 |
| Cortical porosity not superior to conventional densitometry in identifying hemodialysis patients with fragility fracture B Bielesz, JM Patsch, L Fischer, M Bojic, W Winnicki, M Weber, D Cejka PloS one 12 (2), e0171873, 2017 | 23 | 2017 |
| A swept source optical coherence tomography angiography study: imaging artifacts and comparison of non-perfusion areas with fluorescein angiography in diabetic macular edema D Podkowinski, S Beka, AS Mursch-Edlmayr, RW Strauss, L Fischer, ... PLoS One 16 (4), e0249918, 2021 | 21 | 2021 |
| Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation F Kromp, L Fischer, E Bozsaky, I Ambros, W Doerr, S Taschner-Mandl, ... arXiv preprint arXiv:1907.12975, 2019 | 18 | 2019 |
| High-resolution peripheral quantitative CT imaging: cortical porosity, poor trabecular bone microarchitecture, and low bone strength in lung transplant recipients L Fischer, A Valentinitsch, MD DiFranco, C Schueller-Weidekamm, ... Radiology 274 (2), 473-481, 2015 | 18 | 2015 |
| How do deep-learning framework versions affect the reproducibility of neural network models? M Shahriari, R Ramler, L Fischer Machine Learning and Knowledge Extraction 4 (4), 888-911, 2022 | 14 | 2022 |
| Membership-mappings for data representation learning: measure theoretic conceptualization M Kumar, B Moser, L Fischer, B Freudenthaler International Conference on Database and Expert Systems Applications, 127-137, 2021 | 14 | 2021 |
| Membership-mappings for data representation learning: A bregman divergence based conditionally deep autoencoder M Kumar, B Moser, L Fischer, B Freudenthaler International Conference on Database and Expert Systems Applications, 138-147, 2021 | 11 | 2021 |
| Is there an association between bone microarchitecture and fracture in patients who were treated for high-grade osteosarcoma? A controlled study at long-term follow-up using … G Holzer, G Hobusch, S Hansen, L Fischer, JM Patsch Clinical Orthopaedics and Related Research® 479 (11), 2493-2501, 2021 | 9 | 2021 |
| On mitigating the utility-loss in differentially private learning: A new perspective by a geometrically inspired kernel approach M Kumar, BA Moser, L Fischer Journal of Artificial Intelligence Research 79, 515-567, 2024 | 8 | 2024 |
| Membership mappings for practical secure distributed deep learning M Kumar, W Zhang, L Fischer, B Freudenthaler IEEE Transactions on Fuzzy Systems 31 (8), 2617-2631, 2023 | 8 | 2023 |
| DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data H Eghbal-Zadeh, L Fischer, N Popitsch, F Kromp, S Taschner-Mandl, ... Journal of Computational Biology 26 (6), 572-596, 2019 | 8 | 2019 |
| Industrial experience report on ai-assisted coding in professional software development R Ramler, M Moser, L Fischer, M Nissl, R Heinzl Proceedings of the 1st International Workshop on Large Language Models for …, 2024 | 7 | 2024 |
Bernhard A. MoserSCCH and Institute of Signal Processing, JKU, AustriaVerified email at scch.at
