Lukas Fischer

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Differentially Private

Image Segmentation

Data Representation

Top Venues

Mach. Learn. Knowl. Extr.

Medical Imaging: Image Processing

Publications

Mohit Kumar, Bernhard Alois Moser, Lukas Fischer
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach. J. Artif. Intell. Res. 79 (2024)
Bernhard Schenkenfelder, Ulrich Brandstätter, Lukas Fischer, Rudolf Ramler, Dominik Laister, Martin Hartl, Markus Wurm
Responsible AI Engineering: The Case of an Inclusive Image Annotation Team in a Global Technology Company. RAIE@ICSE (2024)
Mohit Kumar, Weiping Zhang, Lukas Fischer, Bernhard Freudenthaler
Membership Mappings for Practical Secure Distributed Deep Learning. IEEE Trans. Fuzzy Syst. 31 (8) (2023)
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning. Algorithms 16 (9) (2023)
Cornelia Travnicek, Veronika Nowak, Rudolf Ramler, Lukas Fischer, Katja Bühler
Examples of Long-Term Science-Industry Partnerships for Translational Computer Science. Comput. Sci. Eng. 25 (1) (2023)
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer
Kernel Affine Hull Machines for Differentially Private Learning. CoRR (2023)
Mohit Kumar, Bernhard Moser, Lukas Fischer
Secure Federated Learning with Kernel Affine Hull Machines. ESANN (2023)
Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data. DEXA Workshops (2022)
Mostafa Shahriari, Rudolf Ramler, Lukas Fischer
How Do Deep-Learning Framework Versions Affect the Reproducibility of Neural Network Models? Mach. Learn. Knowl. Extr. 4 (4) (2022)
Mohit Kumar, Weiping Zhang, Lukas Fischer, Bernhard Freudenthaler
Membership-Mappings for Practical Secure Distributed Deep Learning. CoRR (2022)
Michael Affenzeller, Michael Bögl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. SYNASC (2022)
Katja Bühler, Cornelia Travniceck, Veronika Nowak, Edgar R. Weippl, Lukas Fischer, Rudolf Ramler, Robert Wille
Twenty Years of Successful Translational Research: A Case Study of Three COMET Centers. DEXA Workshops (2022)
Clara Dacho, David Gabauer, David Brunner, Lukas Fischer
2D nnUNet for classification and segmentation of anatomical structures in fetal torso ultrasound. Medical Imaging: Image Processing (2022)
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler
Membership-Mappings for Data Representation Learning. CoRR (2021)
Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization. DEXA Workshops (2021)
Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser
AI System Engineering - Key Challenges and Lessons Learned. Mach. Learn. Knowl. Extr. 3 (1) (2021)
Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework. CoRR (2021)
Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler
Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder. DEXA Workshops (2021)
Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge M. Ambros, Wolfgang Dörr, Klaus Beiske, Peter F. Ambros, Allan Hanbury, Sabine Taschner-Mandl
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation. IEEE Trans. Medical Imaging 40 (7) (2021)
Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, Bernhard Moser
Applying AI in Practice: Key Challenges and Lessons Learned. CD-MAKE (2020)
Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser
Beyond federated learning: On confidentiality-critical machine learning applications in industry. ISM (2020)
Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch
On Conditioning GANs to Hierarchical Ontologies. CoRR (2019)
Hamid Eghbal-zadeh, Lukas Fischer, Thomas Hoch
On Conditioning GANs to Hierarchical Ontologies. DEXA Workshops (2019)
Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge Ambros, Wolfgang Doerr, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation. CoRR (2019)
Hamid Eghbal-Zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser
DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data. J. Comput. Biol. 26 (6) (2019)
Hamid Eghbal-zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Khaled Koutini, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. CoRR (2018)
Sebastian F. Baumbach, Jakob Binder, Alexander Synek, Fabian G. Mück, Yan Chevalier, Ekkehard Euler, Georg Langs, Lukas Fischer
Analysis of the three-dimensional anatomical variance of the distal radius using 3D shape models. BMC Medical Imaging 17 (1) (2017)
Alexander Valentinitsch, Lukas Fischer, Janina Patsch, Jan Bauer, Franz Kainberger, Georg Langs, Matthew D. DiFranco
Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT. Medical Imaging: Image Processing (2015)