Tobias Würfl

Orcid: 0000-0001-9086-0896

According to our database1, Tobias Würfl authored at least 40 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network.
CoRR, 2020

Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom.
CoRR, 2020

Reconstruction of Voxels with Position- and Angle-Dependent Weightings.
CoRR, 2020

Deep Learning-based Pipeline for Module Power Prediction from EL Measurements.
CoRR, 2020

Bildanalyse.
Proceedings of the Handbuch der Künstlichen Intelligenz, 6. Auflage, 2020

2019
Learning with known operators reduces maximum error bounds.
Nat. Mach. Intell., 2019

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging.
CoRR, 2019

The TCGA Meta-Dataset Clinical Benchmark.
CoRR, 2019

Torchmeta: A Meta-Learning library for PyTorch.
CoRR, 2019

Learning with Known Operators reduces Maximum Training Error Bounds.
CoRR, 2019

Projection image-to-image translation in hybrid x-ray/MR imaging.
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

Projection image-to-image translation in hybrid X-ray/MR imaging.
CoRR, 2018

Deep Learning for Sampling from Arbitrary Probability Distributions.
CoRR, 2018

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Some Investigations on Robustness of Deep Learning in Limited Angle Tomography.
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

Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Precision Learning: Towards Use of Known Operators in Neural Networks.
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

Frangi-Net.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

Deep Learning Fundamentals.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017
Frangi-Net: A Neural Network Approach to Vessel Segmentation.
CoRR, 2017

MR to X-Ray Projection Image Synthesis.
CoRR, 2017

A Deep Learning Approach for Reconstruction Filter Kernel Discretization.
CoRR, 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

A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Optimizing R with SparkR on a commodity cluster for biomedical research.
Comput. Methods Programs Biomed., 2016

Deep Learning Computed Tomography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016


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