Deep Learning Computed Tomography. - Tobias Würfl; Florin C. Ghesu; Vincent Christlein; Andreas K. Maier (MICCAI (3), 2016)

Optimizing R with SparkR on a commodity cluster for biomedical research. - Martin Sedlmayr; Tobias Würfl; Christian Maier; Lothar Häberle; Peter A. Fasching; Hans-Ulrich Prokosch; Jan Christoph (Comput. Methods Programs Biomed., 2016)

Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. - Vincent Christlein; Florin C. Ghesu; Tobias Würfl; Andreas K. Maier; Fabian Isensee; Peter Neher; Klaus H. Maier-Hein (Bildverarbeitung für die Medizin, 2017)

A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction. - Kerstin Hammernik; Tobias Würfl; Thomas Pock; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series. - Elisabeth Hoppe; Gregor Körzdörfer; Tobias Würfl; Jens Wetzl; Felix Lugauer; Josef Pfeuffer; Andreas K. Maier (GMDS, 2017)

A Deep Learning Approach for Reconstruction Filter Kernel Discretization. - Christopher Syben; Bernhard Stimpel; Katharina Breininger; Tobias Würfl; Rebecca Fahrig; Arnd Dörfler; Andreas K. Maier (CoRR, 2017)

MR to X-Ray Projection Image Synthesis. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katrin Mentl; Arnd Dörfler; Andreas K. Maier (CoRR, 2017)

Frangi-Net: A Neural Network Approach to Vessel Segmentation. - Weilin Fu; Katharina Breininger; Tobias Würfl; Nishant Ravikumar; Roman Schaffert; Andreas K. Maier (CoRR, 2017)

Deep Learning Fundamentals. - Katharina Breininger; Vincent Christlein; Tobias Würfl; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Frangi-Net. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; Tobias Würfl; Jim Fujimoto; Eric Moult; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment. - Marc Aubreville; Miguel Goncalves; Christian Knipfer; Nicolai Oetter; Tobias Würfl; Helmut Neumann; Florian Stelzle; Christopher Bohr; Andreas K. Maier (BIOIMAGING, 2018)

Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. - Marc Aubreville; Miguel Goncalves; Christian Knipfer; Nicolai Oetter; Tobias Würfl; Helmut Neumann; Florian Stelzle; Christopher Bohr; Andreas K. Maier (BIOSTEC (Selected Papers), 2018)

Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion. - Christopher Syben; Bernhard Stimpel; Jonathan Lommen; Tobias Würfl; Arnd Dörfler; Andreas Maier 001 (GCPR, 2018)

Precision Learning: Towards Use of Known Operators in Neural Networks. - Andreas K. Maier; Frank Schebesch; Christopher Syben; Tobias Würfl; Stefan Steidl; Jang Hwan Choi 001; Rebecca Fahrig (ICPR, 2018)

Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. - Katharina Breininger; Tobias Würfl; Tanja Kurzendorfer; Shadi Albarqouni; Marcus Pfister; Markus Kowarschik; Nassir Navab; Andreas K. Maier (CVII-STENT/LABELS@MICCAI, 2018)

Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions. - Felix Horger; Tobias Würfl; Vincent Christlein; Andreas K. Maier (MLMIR@MICCAI, 2018)

Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. - Yixing Huang; Tobias Würfl; Katharina Breininger; Ling Liu; Günter Lauritsch; Andreas K. Maier (MICCAI (1), 2018)

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. - Maximilian Seitzer; Guang Yang 006; Jo Schlemper; Ozan Oktay; Tobias Würfl; Vincent Christlein; Tom Wong; Raad Mohiaddin; David N. Firmin; Jennifer Keegan; Daniel Rueckert; Andreas K. Maier (MICCAI (1), 2018)

Deep Learning for Sampling from Arbitrary Probability Distributions. - Felix Horger; Tobias Würfl; Vincent Christlein; Andreas K. Maier (CoRR, 2018)

Projection image-to-image translation in hybrid X-ray/MR imaging. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Katrin Mentl; Jonathan Lommen; Arnd Dörfler; Andreas K. Maier (CoRR, 2018)

Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. - Tobias Würfl; Mathis Hoffmann; Vincent Christlein; Katharina Breininger; Yixing Huang; Mathias Unberath; Andreas K. Maier (IEEE Trans. Medical Imaging, 2018)

Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. - Yixing Huang; Tobias Würfl; Katharina Breininger; Ling Liu; Günter Lauritsch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning. - Christopher Syben; Bernhard Stimpel; Jonathan Lommen; Tobias Würfl; Arnd Dörfler; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging. - Tobias Würfl; André Aichert; Nicole Maass; Frank Dennerlein; Andreas K. Maier (ICCV, 2019)

Projection image-to-image translation in hybrid x-ray/MR imaging. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Jonathan M. Lommen; Arnd Dörfler; Andreas K. Maier (Image Processing, 2019)

Learning with Known Operators reduces Maximum Training Error Bounds. - Andreas K. Maier; Christopher Syben; Bernhard Stimpel; Tobias Würfl; Mathis Hoffmann; Frank Schebesch; Weilin Fu; Leonid Mill; Lasse Kling; Silke H. Christiansen (CoRR, 2019)

Torchmeta: A Meta-Learning library for PyTorch. - Tristan Deleu; Tobias Würfl; Mandana Samiei; Joseph Paul Cohen; Yoshua Bengio (CoRR, 2019)

The TCGA Meta-Dataset Clinical Benchmark. - Mandana Samiei; Tobias Würfl; Tristan Deleu; Martin Weiss; Francis Dutil; Thomas Fevens; Geneviève Boucher; Sébastien Lemieux; Joseph Paul Cohen (CoRR, 2019)

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Philip Hoelter; Arnd Dörfler; Andreas K. Maier (CoRR, 2019)

Learning with known operators reduces maximum error bounds. - Andreas K. Maier; Christopher Syben; Bernhard Stimpel; Tobias Würfl; Mathis Hoffmann; Frank Schebesch; Weilin Fu; Leonid Mill; Lasse Kling; Silke H. Christiansen (Nat. Mach. Intell., 2019)

Bildanalyse. - Andreas Maier 001; Vincent Christlein; Katharina Breininger; Tobias Würfl; Mathias Unberath; Christian Riess (Handbuch der Künstlichen Intelligenz, 2020)

Deep Learning-based Pipeline for Module Power Prediction from EL Measurements. - Mathis Hoffmann; Claudia Buerhop-Lutz; Luca Reeb; Tobias Pickel; Thilo Winkler; Bernd Doll; Tobias Würfl; Ian Marius Peters; Christoph Brabec; Andreas Maier 001; Vincent Christlein (CoRR, 2020)

Reconstruction of Voxels with Position- and Angle-Dependent Weightings. - Lina Felsner; Tobias Würfl; Christopher Syben; Philipp Roser; Alexander Preuhs; Andreas Maier 001; Christian Riess (CoRR, 2020)

Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom. - Florian Schiffers; Thomas Bochynek; André Aichert; Tobias Würfl; Michael Rubenstein; Oliver Cossairt (CoRR, 2020)

2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network. - Haoyu Wei; Florian Schiffers; Tobias Würfl; Daming Shen; Daniel Kim 002; Aggelos K. Katsaggelos; Oliver Cossairt (CoRR, 2020)

Anwendungen von Datenkonsistenzbedingungen in der Kegelstrahl-Computertomographie (Applications of Data Consistency Conditions in Cone-Beam Computed Tomography) - Tobias Würfl (2020)

RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments. - Oguz Kedilioglu; Markus Lieret; Julia Schottenhamml; Tobias Würfl; Andreas Blank; Andreas Maier 001; Jörg Franke (VISIGRAPP (4: VISAPP), 2021)

Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. - Laura Pfaff; Fabian Wagner; Julian Hossbach; Elisabeth Preuhs; Noah Maul; Mareike Thies; Felix Denzinger; Dominik Nickel; Tobias Würfl; Andreas Maier 001 (ISBI, 2023)

Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. - Laura Pfaff; Fabian Wagner; Julian Hossbach; Elisabeth Preuhs; Mareike Thies; Felix Denzinger; Dominik Nickel; Tobias Würfl; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising. - Laura Pfaff; Fabian Wagner; Nastassia Vysotskaya; Mareike Thies; Noah Maul; Siyuan Mei; Tobias Würfl; Andreas K. Maier (MICCAI (10), 2024)