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Publication search results
found 47 matches
- 2024
- 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 - 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
- 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
- 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
- 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 - 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
- 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 - Andreas Maier, Vincent Christlein, Katharina Breininger, Tobias Würfl, Mathias Unberath, Christian Riess:
Bildanalyse. Handbuch der Künstlichen Intelligenz 2020: 673-712 - 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] - 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) - 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) - 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) - 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) - 2019
- 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) - 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 - 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 - 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 - 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 - 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) - Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, Yoshua Bengio:
Torchmeta: A Meta-Learning library for PyTorch. CoRR abs/1909.06576 (2019) - 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) - 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
- 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) - Katharina Breininger, Vincent Christlein, Tobias Würfl, Andreas K. Maier:
Deep Learning Fundamentals. Bildverarbeitung für die Medizin 2018: 5 - 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 - 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 - 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 - 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 - 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 - 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
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