Jan 24, 2022 · This paper proposes a new two-step procedure for sparse-view tomographic image reconstruction. It is called RISING, since it combines an early-stopped Rapid ...
This paper proposes RISING, a new framework for sparse-view tomographic image reconstruction combining an early-stopped Rapid Iterative Solver with a ...
A new two-step procedure for sparse-view tomographic image reconstruction is proposed, called RISING, since it combines an early-stopped Rapid Iterative ...
Apr 1, 2022 · This paper proposes a new two-step procedure for sparse-view tomographic image reconstruction. It is called RISING, since it combines an ...
Nov 30, 2022 · RISING: A new framework for model-based few-view CT image reconstruction with deep learning. Comput Med Imaging Graph. 2023 Jan:103:102156 ...
An unsupervised and training data-free learning reconstruction method for LDCT imaging that avoids the requirement for training data and reconstructs the ...
Oct 22, 2024 · This paper proposes RISING, a new framework for sparse-view tomographic image reconstruction combining an early-stopped Rapid Iterative Solver ...
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RISING: A new framework for model-based few-view CT image reconstruction with deep learning ; Journal: Computerized Medical Imaging and Graphics, 2023, p. 102156.
Deep learning-based image reconstruction for few-view ...
www.sciencedirect.com › article › abs › pii
In this study, a deep learning-based network was proposed for reconstructing few-view CT images and improving image quality.
Missing: RISING | Show results with:RISING
Their physics-aware deep learning framework is able to reconstruct high quality MRI from sparse k-space samples, and they have validated the proposed approach ...
Missing: RISING few-