Tobias Würfl

发表

Torchmeta: A Meta-Learning library for PyTorch pdf

Yoshua Bengio, Tristan Deleu, Tobias Würfl, 2019, ArXiv.

Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom pdf

Michael Rubenstein, Tobias Würfl, Florian Schiffers, 2020, ArXiv.

A Deep Learning Approach for Reconstruction Filter Kernel Discretization pdf

Andreas K. Maier, Tobias Würfl, Rebecca Fahrig, 2017, ArXiv.

Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography

Günter Lauritsch, Andreas K. Maier, Tobias Würfl, 2019, Bildverarbeitung für die Medizin.

Precision Learning: Towards Use of Known Operators in Neural Networks

Andreas K. Maier, Tobias Würfl, Rebecca Fahrig, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis

Peter F. Neher, Klaus H. Maier-Hein, Andreas K. Maier, 2017, Bildverarbeitung für die Medizin.

Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series

Andreas K. Maier, Tobias Würfl, Josef Pfeuffer, 2017, GMDS.

Some Investigations on Robustness of Deep Learning in Limited Angle Tomography

Ling Liu, Günter Lauritsch, Andreas K. Maier, 2018, MICCAI.

Deep Learning Fundamentals

Andreas K. Maier, Tobias Würfl, Vincent Christlein, 2018, Bildverarbeitung für die Medizin.

Frangi-Net: A Neural Network Approach to Vessel Segmentation pdf

Andreas K. Maier, Tobias Würfl, Katharina Breininger, 2017, ArXiv.

Reconstruction of Voxels with Position- and Angle-Dependent Weightings pdf

Christian Riess, Tobias Würfl, Christopher Syben, 2020, ArXiv.

A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction

Andreas K. Maier, Tobias Würfl, Thomas Pock, 2017, Bildverarbeitung für die Medizin.

The TCGA Meta-Dataset Clinical Benchmark pdf

Thomas Fevens, Tristan Deleu, Tobias Würfl, 2019, ArXiv.

Learning with Known Operators reduces Maximum Training Error Bounds

Andreas K. Maier, Tobias Würfl, Mathis Hoffmann, 2019, Nature Machine Intelligence.

Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning

Nassir Navab, Andreas K. Maier, Tobias Würfl, 2018, CVII-STENT/LABELS@MICCAI.

Optimizing R with SparkR on a commodity cluster for biomedical research

Christian Maier, Hans-Ulrich Prokosch, Jan Christoph, 2016, Comput. Methods Programs Biomed..

Deep Learning-based Pipeline for Module Power Prediction from EL Measurements pdf

Tobias Würfl, Tobias Pickel, Vincent Christlein, 2020, ArXiv.

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction pdf

Guang Yang, Daniel Rueckert, Andreas K. Maier, 2018, MICCAI.

MR to X-Ray Projection Image Synthesis pdf

Andreas K. Maier, Tobias Würfl, Bernhard Stimpel, 2017, ArXiv.

Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning

Andreas K. Maier, Tobias Würfl, Bernhard Stimpel, 2019, Bildverarbeitung für die Medizin.

2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network pdf

Aggelos K. Katsaggelos, Tobias Würfl, Florian Schiffers, 2020, ArXiv.

Deep Learning for Sampling from Arbitrary Probability Distributions pdf

Andreas K. Maier, Tobias Würfl, Vincent Christlein, 2018, MLMIR@MICCAI.

Deep Learning Computed Tomography

Andreas K. Maier, Tobias Würfl, Vincent Christlein, 2016, MICCAI.

Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment pdf

Marc Aubreville, Andreas K. Maier, Tobias Würfl, 2018, BIOIMAGING.

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging

Tobias Würfl, Katharina Breininger, Bernhard Stimpel, 2019, Scientific Reports.

RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments

Tobias Würfl, Jörg Franke, Markus Lieret, 2021, VISIGRAPP.

Epipolar Consistency Guided Beam Hardening Reduction-ECC 2

Tobias Würfl, Tobias Würfl, 2017 .

Empirical Scatter Correction using the Epipolar Consistency Condition

Andreas K. Maier, Tobias Würfl, Mathis Hoffmann, 2018 .