Traditional machine learning for limited angle tomography - researchr publication related

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Yixing Huang, Yanye Lu, Oliver Taubmann, Guenter Lauritsch, Andreas K. Maier. Traditional machine learning for limited angle tomography. Int. J. Computer Assisted Radiology and Surgery, 14(1):11-19, 2019. [doi]

The following publications are possibly variants of this publication:

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]

Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle TomographyYixing Huang. PhD thesis, University of Erlangen-Nuremberg, Germany, 2020. [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]

Some Investigations on Robustness of Deep Learning in Limited Angle TomographyYixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier. miccai 2018: 145-153 [doi]

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