The following publications are possibly variants of this publication:
- Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle TomographyYixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier. bildmed 2019: 21 [doi]
- A Deep Learning Architecture for Limited-Angle Computed Tomography ReconstructionKerstin Hammernik, Tobias Würfl, Thomas Pock, Andreas K. Maier. bildmed 2017: 92-97 [doi]
- Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning PriorYixing Huang, Alexander Preuhs, Günter Lauritsch, Michael Manhart, Xiaolin Huang, Andreas Maier 0001. miccai 2019: 101-112 [doi]
- Traditional machine learning for limited angle tomographyYixing Huang, Yanye Lu, Oliver Taubmann, Guenter Lauritsch, Andreas K. Maier. cars, 14(1):11-19, 2019. [doi]
- Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle ProblemsTobias Würfl, Mathis Hoffmann, Vincent Christlein, Katharina Breininger, Yixin Huang, Mathias Unberath, Andreas K. Maier. tmi, 37(6):1454-1463, 2018. [doi]
- Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle TomographyYixing Huang. PhD thesis, University of Erlangen-Nuremberg, Germany, 2020. [doi]
- Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle TomographyYixing Huang, Yanye Lu, Oliver Taubmann, Guenter Lauritsch, Andreas K. Maier. bildmed 2018: 222-227 [doi]