Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems T Würfl, M Hoffmann, V Christlein, K Breininger, Y Huang, M Unberath, ... IEEE transactions on medical imaging 37 (6), 1454-1463, 2018 | 166 | 2018 |
Deep learning computed tomography T Würfl, FC Ghesu, V Christlein, A Maier International conference on medical image computing and computer-assisted …, 2016 | 147 | 2016 |
Learning with known operators reduces maximum error bounds AK Maier, C Syben, B Stimpel, T Würfl, M Hoffmann, F Schebesch, W Fu, ... Nature machine intelligence 1 (8), 373-380, 2019 | 96 | 2019 |
Adversarial and perceptual refinement for compressed sensing MRI reconstruction M Seitzer, G Yang, J Schlemper, O Oktay, T Würfl, V Christlein, T Wong, ... International conference on medical image computing and computer-assisted …, 2018 | 96 | 2018 |
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series. E Hoppe, G Körzdörfer, T Würfl, J Wetzl, F Lugauer, J Pfeuffer, AK Maier GMDS 243, 202-206, 2017 | 86 | 2017 |
A deep learning architecture for limited-angle computed tomography reconstruction K Hammernik, T Würfl, T Pock, A Maier Bildverarbeitung für die Medizin 2017, 92-97, 2017 | 73* | 2017 |
Some investigations on robustness of deep learning in limited angle tomography Y Huang, T Würfl, K Breininger, L Liu, G Lauritsch, A Maier International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 62 | 2018 |
Torchmeta: A meta-learning library for pytorch T Deleu, T Würfl, M Samiei, JP Cohen, Y Bengio arXiv preprint arXiv:1909.06576, 2019 | 43* | 2019 |
Precision learning: towards use of known operators in neural networks A Maier, F Schebesch, C Syben, T Würfl, S Steidl, JH Choi, R Fahrig 2018 24th International Conference on Pattern Recognition (ICPR), 183-188, 2018 | 43 | 2018 |
Frangi-net W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ... Bildverarbeitung für die Medizin 2018, 341-346, 2018 | 22 | 2018 |
Precision learning: reconstruction filter kernel discretization C Syben, B Stimpel, K Breininger, T Würfl, R Fahrig, A Dörfler, A Maier arXiv preprint arXiv:1710.06287, 2017 | 22 | 2017 |
Empirical scatter correction using the epipolar consistency condition M Hoffmann, T Würfl, N Maaß, F Dennerlein, A Aichert, AK Maier 5th International Conference on Image Formation in X-Ray Computed Tomography …, 2018 | 20 | 2018 |
Epipolar Consistency Guided Beam Hardening Reduction-ECC 2 T Würfl, N Maaß, F Dennerlein, X Huang, AK Maier 14th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2017 | 19 | 2017 |
Deriving neural network architectures using precision learning: Parallel-to-fan beam conversion C Syben, B Stimpel, J Lommen, T Würfl, A Dörfler, A Maier German Conference on Pattern Recognition, 503-517, 2018 | 18 | 2018 |
MR to X-ray projection image synthesis B Stimpel, C Syben, T Würfl, K Mentl, A Dörfler, A Maier arXiv preprint arXiv:1710.07498, 2017 | 16 | 2017 |
Deep learning for magnetic resonance fingerprinting: Accelerating the reconstruction of quantitative relaxation maps E Hoppe, G Körzdörfer, M Nittka, T Würfl, J Wetzl, F Lugauer, M Schneider Proceedings of the 26th Annual Meeting of ISMRM, Paris, France, 2018 | 14 | 2018 |
Multiple device segmentation for fluoroscopic imaging using multi-task learning K Breininger, T Würfl, T Kurzendorfer, S Albarqouni, M Pfister, ... Intravascular imaging and computer assisted stenting and large-scale …, 2018 | 11 | 2018 |
projection-to-projection translation for Hybrid X-ray and Magnetic Resonance imaging B Stimpel, C Syben, T Würfl, K Breininger, P Hoelter, A Dörfler, A Maier Scientific Reports 9 (1), 1-10, 2019 | 10 | 2019 |
Transferability of deep learning algorithms for malignancy detection in confocal laser endomicroscopy images from different anatomical locations of the upper gastrointestinal tract M Aubreville, M Goncalves, C Knipfer, N Oetter, T Würfl, H Neumann, ... International Joint Conference on Biomedical Engineering Systems and …, 2018 | 10 | 2018 |
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images--A Cross-Site Robustness Assessment M Aubreville, M Goncalves, C Knipfer, N Oetter, T Würfl, H Neumann, ... arXiv preprint arXiv:1707.08149, 2017 | 10 | 2017 |