Tu Graz

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.

florian.thaler@tugraz.at
TUGRAZonline
Team Pock
Florian Thaler

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

Semantic-Aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation
Thaler, F., Urschler, M., Kozinski, M., Gsell, M., Plank, G., Stern, D.
IEEE Access, Vol. 14, 2026, 64338-64356
Restora-Flow: Mask-Guided Image Restoration with Flow Matching
Hadzic, A., Thaler, F., Bogensperger, L., Joham, S., Urschler, M.
Proceedings - 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2026, 2026, 4943-4952
An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology
Zappon, E., Azzolin, L., Gsell, M., Thaler, F., Prassl, A., Arnold, R., Gillette, K., Kariman, M., Manninger, M., Scherr, D., Neic, A., Urschler, M., Augustin, C., Vigmond, E., Plank, G.
Medical Image Analysis, Vol. 107, 2025
FOCUS: Feature Replay with Optimized Channel-Consistent Dropout for U-Net Skip-Connections
Joham, S., Thaler, F., Hadzic, A., Urschler, M.
Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings, 2025, 219-229, (Lecture Notes in Computer Science; Vol. 15973 LNCS)
Cascaded Self-Supervision to Advance Cardiac MRI Segmentation in Low-Data Regimes
Urschler, M., Rechberger, E., Thaler, F., Štern, D.
Bioengineering, Vol. 12(8), 2025
Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates
Van Santvliet, L., Zappon, E., Gsell, M., Thaler, F., Blondeel, M., Dymarkowski, S., Claessen, G., Willems, R., Urschler, M., Vandenberk, B., Plank, G., De Vos, M.
Computers in Biology and Medicine, Vol. 192, Part A, 2025
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)
LA-CaRe-CNN: Cascading Refinement CNN for Left Atrial Scar 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, 180-191, (Lecture Notes in Computer Science; Vol. 15548 LNCS)
Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
Viti, B., Thaler, F., Kapper, K., Urschler, M., Holler, M., Karabelas, E.
Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers. - 15th International Workshop, STACOM 2024, Held in Conjunction with MICCAI 2024, Revised Selected Papers, 2025, 257-268, (Lecture Notes in Computer Science; Vol. 15448 LNCS)