Tobias Würfl
Orcid: 0000-0001-9086-0896
According to our database1,
Tobias Würfl
authored at least 40 papers
between 2016 and 2024.
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Bibliography
2024
No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2021
RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
2020
Anwendungen von Datenkonsistenzbedingungen in der Kegelstrahl-Computertomographie (Applications of Data Consistency Conditions in Cone-Beam Computed Tomography)
PhD thesis, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020
2019
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging.
CoRR, 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems.
IEEE Trans. Medical Imaging, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion.
Proceedings of the Pattern Recognition - 40th German Conference, 2018
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract.
Proceedings of the Biomedical Engineering Systems and Technologies, 2018
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.
Proceedings of the German Medical Data Sciences: Visions and Bridges, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Comput. Methods Programs Biomed., 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016