default search action
Tobias Würfl
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c22]Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas K. Maier:
Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. Bildverarbeitung für die Medizin 2024: 26 - [c21]Laura Pfaff, Fabian Wagner, Nastassia Vysotskaya, Mareike Thies, Noah Maul, Siyuan Mei, Tobias Würfl, Andreas K. Maier:
No-New-Denoiser: A Critical Analysis of Diffusion Models for Medical Image Denoising. MICCAI (10) 2024: 568-578 - 2023
- [c20]Laura Pfaff, Fabian Wagner, Julian Hossbach, Elisabeth Preuhs, Noah Maul, Mareike Thies, Felix Denzinger, Dominik Nickel, Tobias Würfl, Andreas Maier:
Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. ISBI 2023: 1-5 - 2022
- [e3]Nandinee Fariah Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo:
Machine Learning for Medical Image Reconstruction - 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13587, Springer 2022, ISBN 978-3-031-17246-5 [contents] - 2021
- [c19]Oguz Kedilioglu, Markus Lieret, Julia Schottenhamml, Tobias Würfl, Andreas Blank, Andreas Maier, Jörg Franke:
RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments. VISIGRAPP (4: VISAPP) 2021: 219-226 - [e2]Nandinee Fariah Haq, Patricia Johnson, Andreas Maier, Tobias Würfl, Jaejun Yoo:
Machine Learning for Medical Image Reconstruction - 4th International Workshop, MLMIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 12964, Springer 2021, ISBN 978-3-030-88551-9 [contents] - 2020
- [b1]Tobias Würfl:
Anwendungen von Datenkonsistenzbedingungen in der Kegelstrahl-Computertomographie (Applications of Data Consistency Conditions in Cone-Beam Computed Tomography). University of Erlangen-Nuremberg, Germany, 2020 - [p1]Andreas Maier, Vincent Christlein, Katharina Breininger, Tobias Würfl, Mathias Unberath, Christian Riess:
Bildanalyse. Handbuch der Künstlichen Intelligenz 2020: 673-712 - [e1]Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye:
Machine Learning for Medical Image Reconstruction - Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12450, Springer 2020, ISBN 978-3-030-61597-0 [contents] - [i17]Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein:
Deep Learning-based Pipeline for Module Power Prediction from EL Measurements. CoRR abs/2009.14712 (2020) - [i16]Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess:
Reconstruction of Voxels with Position- and Angle-Dependent Weightings. CoRR abs/2010.14205 (2020) - [i15]Florian Schiffers, Thomas Bochynek, André Aichert, Tobias Würfl, Michael Rubenstein, Oliver Cossairt:
Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom. CoRR abs/2011.06671 (2020) - [i14]Haoyu Wei, Florian Schiffers, Tobias Würfl, Daming Shen, Daniel Kim, Aggelos K. Katsaggelos, Oliver Cossairt:
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network. CoRR abs/2012.04743 (2020)
2010 – 2019
- 2019
- [j3]Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen:
Learning with known operators reduces maximum error bounds. Nat. Mach. Intell. 1(8): 373-380 (2019) - [c18]Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier:
Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. Bildverarbeitung für die Medizin 2019: 21 - [c17]Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier:
Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning. Bildverarbeitung für die Medizin 2019: 29 - [c16]Tobias Würfl, André Aichert, Nicole Maass, Frank Dennerlein, Andreas K. Maier:
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging. ICCV 2019: 1072-1081 - [c15]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier:
Projection image-to-image translation in hybrid x-ray/MR imaging. Medical Imaging: Image Processing 2019: 109492K - [i13]Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen:
Learning with Known Operators reduces Maximum Training Error Bounds. CoRR abs/1907.01992 (2019) - [i12]Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, Yoshua Bengio:
Torchmeta: A Meta-Learning library for PyTorch. CoRR abs/1909.06576 (2019) - [i11]Mandana Samiei, Tobias Würfl, Tristan Deleu, Martin Weiss, Francis Dutil, Thomas Fevens, Geneviève Boucher, Sébastien Lemieux, Joseph Paul Cohen:
The TCGA Meta-Dataset Clinical Benchmark. CoRR abs/1910.08636 (2019) - [i10]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. CoRR abs/1911.08163 (2019) - 2018
- [j2]Tobias Würfl, Mathis Hoffmann, Vincent Christlein, Katharina Breininger, Yixing Huang, Mathias Unberath, Andreas K. Maier:
Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. IEEE Trans. Medical Imaging 37(6): 1454-1463 (2018) - [c14]Katharina Breininger, Vincent Christlein, Tobias Würfl, Andreas K. Maier:
Deep Learning Fundamentals. Bildverarbeitung für die Medizin 2018: 5 - [c13]Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Tobias Würfl, Jim Fujimoto, Eric Moult, Andreas K. Maier:
Frangi-Net. Bildverarbeitung für die Medizin 2018: 341-346 - [c12]Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier:
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment. BIOIMAGING 2018: 27-34 - [c11]Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier:
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract. BIOSTEC (Selected Papers) 2018: 67-85 - [c10]Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas Maier:
Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion. GCPR 2018: 503-517 - [c9]Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig:
Precision Learning: Towards Use of Known Operators in Neural Networks. ICPR 2018: 183-188 - [c8]Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier:
Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. CVII-STENT/LABELS@MICCAI 2018: 19-27 - [c7]Felix Horger, Tobias Würfl, Vincent Christlein, Andreas K. Maier:
Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions. MLMIR@MICCAI 2018: 129-137 - [c6]Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier:
Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. MICCAI (1) 2018: 145-153 - [c5]Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier:
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. MICCAI (1) 2018: 232-240 - [i9]Felix Horger, Tobias Würfl, Vincent Christlein, Andreas K. Maier:
Deep Learning for Sampling from Arbitrary Probability Distributions. CoRR abs/1801.04211 (2018) - [i8]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan Lommen, Arnd Dörfler, Andreas K. Maier:
Projection image-to-image translation in hybrid X-ray/MR imaging. CoRR abs/1804.03955 (2018) - [i7]Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier:
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. CoRR abs/1806.11216 (2018) - [i6]Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier:
Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion. CoRR abs/1807.03057 (2018) - 2017
- [c4]Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter Neher, Klaus H. Maier-Hein:
Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. Bildverarbeitung für die Medizin 2017: 6-7 - [c3]Kerstin Hammernik, Tobias Würfl, Thomas Pock, Andreas K. Maier:
A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction. Bildverarbeitung für die Medizin 2017: 92-97 - [c2]Elisabeth Hoppe, Gregor Körzdörfer, Tobias Würfl, Jens Wetzl, Felix Lugauer, Josef Pfeuffer, Andreas K. Maier:
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series. GMDS 2017: 202-206 - [i5]Marc Aubreville, Miguel Goncalves, Christian Knipfer, Nicolai Oetter, Tobias Würfl, Helmut Neumann, Florian Stelzle, Christopher Bohr, Andreas K. Maier:
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment. CoRR abs/1707.08149 (2017) - [i4]Christopher Syben, Bernhard Stimpel, Katharina Breininger, Tobias Würfl, Rebecca Fahrig, Arnd Dörfler, Andreas K. Maier:
A Deep Learning Approach for Reconstruction Filter Kernel Discretization. CoRR abs/1710.06287 (2017) - [i3]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katrin Mentl, Arnd Dörfler, Andreas K. Maier:
MR to X-Ray Projection Image Synthesis. CoRR abs/1710.07498 (2017) - [i2]Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas K. Maier:
Frangi-Net: A Neural Network Approach to Vessel Segmentation. CoRR abs/1711.03345 (2017) - [i1]Andreas K. Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang Hwan Choi, Rebecca Fahrig:
Precision Learning: Towards Use of Known Operators in Neural Networks. CoRR abs/1712.00374 (2017) - 2016
- [j1]Martin Sedlmayr, Tobias Würfl, Christian Maier, Lothar Häberle, Peter A. Fasching, Hans-Ulrich Prokosch, Jan Christoph:
Optimizing R with SparkR on a commodity cluster for biomedical research. Comput. Methods Programs Biomed. 137: 321-328 (2016) - [c1]Tobias Würfl, Florin C. Ghesu, Vincent Christlein, Andreas K. Maier:
Deep Learning Computed Tomography. MICCAI (3) 2016: 432-440
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-11 17:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint