Learning the Inverse Weighted Radon Transform
- 27 February 2021
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray ImagingIEEE Transactions on Medical Imaging, 2020
- Learning with known operators reduces maximum error boundsNature Machine Intelligence, 2019
- Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle ProblemsIEEE Transactions on Medical Imaging, 2018
- Medical Imaging SystemsLecture Notes in Computer Science, 2018
- scikit-image: image processing in PythonPeerJ, 2014
- Grating-based phase-contrast computed tomography of thick samplesNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2012
- Inverse geometry for grating-based x-ray phase-contrast imagingJournal of Applied Physics, 2009
- High-resolution differential phase contrast imaging using a magnifying projection geometry with a microfocus x-ray sourceApplied Physics Letters, 2007
- Phase retrieval and differential phase-contrast imaging with low-brilliance X-ray sourcesNature Physics, 2006
- The Fourier reconstruction of a head sectionIEEE Transactions on Nuclear Science, 1974