Florian Thaler

Dipl.-Ing. BSc

I am a PhD student at the Institute of Visual Computing in Thomas Pock’s Vision, Learning and Optimization group.

Additional Information

I studied Mathematics with a focus on Applied Mathematics at Karl Franzens University in Graz. I gained professional experience as a researcher in automated driving and as a software developer in computer vision. My current research centers on bilevel optimization methods for image reconstruction. More generally, my research interests include mathematical optimization, optimal control theory, and computer vision.

Publications

Augmentation-Based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation

Thaler, F., Štern, D., Plank, G., Urschler, M.

Comprehensive Analysis and Computing of Real-World Medical Images , 1st MICCAI Challenge, CARE 2024, Held in Conjunction with MICCAI 2024, Proceedings, 2025, 168-179, (Lecture Notes in Computer Science; Vol. 15548 LNCS)

pyCEPS: A cross-platform electroanatomic mapping data to computational model conversion platform for the calibration of digital twin models of cardiac electrophysiology

Arnold, R., Prassl, A., Neic, A., Thaler, F., Augustin, C., Gsell, M., Gillette, K., Manninger, M., Scherr, D., Plank, G.

Computer Methods and Programs in Biomedicine, Vol. 254, 2024

Image capturing, segmentation and data analysis of shredded refuse streams

Gursch, H., Schlager, E., Thaler, F., Waltner, G., Ganster, H., Rinnhofer, A., Jaschik, M., Oberwinkler, C., Meisenbichler, R., Bischof, H., Kern, R.

Waste Management and Research, Vol. 42(9), 2024, 738-746

CaRe-CNN: Cascading Refinement CNN for Myocardial Infarct Segmentation with Microvascular Obstructions

Thaler, F., Gsell, M., Plank, G., Urschler, M.

Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2024, 53-64

Error Management for Augmented Reality Assembly Instructions

Stanescu, A., Mohr, P., Thaler, F., Kozinski, M., Skreinig, L., Schmalstieg, D., Kalkofen, D.

Proceedings - 2024 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2024, 2024, 690-699

OnlyCaps-Net, a Capsule only Based Neural Network for 2D and 3D Semantic Segmentation

Bonheur, S., Thaler, F., Pienn, M., Olschewski, H., Bischof, H., Urschler, M.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings, 2022, 340-349, (Lecture Notes in Computer Science; Vol. 13435 )

Collaborative Multi-agent Reinforcement Learning for Landmark Localization Using Continuous Action Space

Kasseroller, K., Thaler, F., Payer, C., Štern, D.

Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings, 2021, 767-778, (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12729 LNCS)

Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements

Thaler, F., Payer, C., Bischof, H., Stern, D.

2021

The four-minute approach revisited: accelerating MRI-based multi-factorial age estimation

Neumayer, B., Lesch, A., Thaler, F., Widek, T., Tschauner, S., De Tobel, J., Ehammer, T., Kirnbauer, B., Boldt, J., van Wijk, M., Stollberger, R., Urschler, M.

International Journal of Legal Medicine, 2019