Lukas Fischer
Lukas Fischer
Research Manager Data Science Software Competence Center Hagenberg GmbH (SCCH)
Verified email at - Homepage
Cited by
Cited by
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
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
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), 1-8, 2020
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
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
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
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
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
Using shape particle filters for robust medical image segmentation
L Fischer
Tech. Report-Vienna University of Technology, Tech. Rep., 2009
Membership-mappings for data representation learning
M Kumar, BA Moser, L Fischer, B Freudenthaler
arXiv preprint arXiv:2104.07060, 2021
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, 2021
Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT
A Valentinitsch, L Fischer, JM Patsch, J Bauer, F Kainberger, G Langs, ...
Medical Imaging 2015: Image Processing 9413, 94131D, 2015
Automatic region template generation for shape particle filtering based image segmentation
L Fischer, R Donner, F Kainberger, G Langs
Proc. Probabilistic Models for Medical Image Analysis (PMMIA 2009), in …, 2009
Evaluation of Deep Learning architectures for complex immunofluorescence nuclear image segmentation
F Kromp, L Fischer, E Bozsaky, IM Ambros, W Dörr, K Beiske, PF Ambros, ...
IEEE Transactions on Medical Imaging 40 (7), 1934-1949, 2021
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
On Conditioning GANs to Hierarchical Ontologies
H Eghbal-zadeh, L Fischer, T Hoch
International Conference on Database and Expert Systems Applications, 182-186, 2019
Removing nuisance in tracklet data
N Shepeleva, T Hoch, L Fischer, W Kloihofer, B Moser
Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies …, 2018
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data
H Eghbal-zadeh, L Fischer, N Popitsch, F Kromp, S Taschner-Mandl, ...
WCB 2018 @ FAIM, Joint ICML and IJCAI Workshop on Computational Biology, 2018
Optimizing shape particle filters for the detection and segmentation of medical images
L Fischer
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework
M Kumar, BA Moser, L Fischer, B Freudenthaler
arXiv preprint arXiv:2106.06046, 2021
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