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Thaler Franz |

Präsentationen bei wissenschaftlichen und nicht-wissenschaftlichen Veranstaltungen

Thaler, F; Stern, D; Plank, G; Urschler, M Augmentation-based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation
CARE Challenge Workshop at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI); OCT 10, 2024; Marrakesch, MAROKKO. 2024. [Poster]

 

Thaler, F; Stern, D; Plank, G; Urschler, M LA-CaRe-CNN: Cascading Refinement CNN for Left Atrial Scar Segmentation.
CARE Challenge Workshop at the International Conference on Medical Image Computing and Computer Assisted Intervention; OCT 10, 2024; Marrakesch, MAROKKO. 2024. [Oral Communication]

 

Gsell, MAF; Azzolin, L; Gillette, KK; Neic, A; Schrotter, T; Thaler, F; Plank, G Towards the Development of Virtual Heart Technology for Creating Digital Twins of Cardiac Electrophysiology.
Proceedings of the 50th CinC conference. 2023; 50: -Computing in Cardiology; OCT 1-4, 2023; Atlanta, USA. [Oral Communication]

 

Thaler, F; Gsell, MAF; Plank, G; Urschler, M CaRe-CNN: Cascading Refinement CNN for Myocardial Segmentation with Automated Infarct Quantification
International Conference on Functional Imaging and Modeling of the Heart ; JUN 19-22, 2023; Lyon, FRANCE. 2023. [Oral Communication]

 

Thaler, F; Gsell, MAF; Plank, G; Urschler, M Deep Learning-based Semantic Medical Image Segmentation of MR and CT Data
Special Semester on Mathematical Methods in Medicine, ML and AI for Medical Applications; DEC 4-8, 2023; Linz, AUSTRIA. 2023. [Oral Communication]

 

Bonheur, S; Thaler, F; Pienn, M; Olschewski, H; Bischof, H; Urschler, M OnlyCaps-Net, a capsule only based neural network for 2D and 3D semantic segmentation
Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention. 2022; -International Conference on Medical Image Computing and Computer-Assisted Intervention; SEP 18-22, 2022; Singapore, Singapore. [Poster]

 

Kasseroller, K; Thaler, F; Payer, C; Stern, D Collaborative Multi-agent Reinforcement Learning for Landmark Localization Using Continuous Action Space
Proceedings of the 27th International Conference on Information Processing in Medical Imaging. 2021; -International Conference on Information Processing in Medical Imaging; JUN 28-30, 2021; Bornholm, Denmark. [Onlinepräsentation]

 

Thaler, F; Payer, C; Bischof, H; Stern, D Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements
arXiv preprint arXiv:2111.13630. 2021; -MICCAI 2021 FLARE Challenge: Fast and Low GPU Memory Abdominal Organ Segmentation; OCT 1, 2021; Strasbourg, FRANCE. [Onlinepräsentation]

 

Thaler F; Hammernik, K; Payer, C; Urschler, M; Stern, D Sparse-View CT Reconstruction Using Wasserstein GANs
Lecture Notes of Computer Science (LNCS). 2018; 11074: 75-82.-Machine Learning for Medical Image Reconstruction (MLMIR) Workshop at MICCAI 2018; SEP, 2018; Granada, SPAIN. [Poster]
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Thaler, F; Payer, C; Štern, D Volumetric Reconstruction from a Limited Number of Digitally Reconstructed Radiographs Using CNNs.
Proceedings of the OAGM Workshop, pp. 13-19. 2018.. 2018; 13-19.-OAGM Workshop; MAY 16-17, 2018; Hall/Tyrol, AUSTRIA. [Oral Communication]
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