Similar Papers

Paper Title
Journal
Date
Author
Fused analytical and iterative reconstruction (AIR) via modified proximal forward–backward splitting: a FDK-based iterative image reconstruction example for CBCT
Hao Gao
Physics in Medicine & Biology | VOL. 61
Hao GaoHao Gao
19 Sep 2016
Image reconstruction framework for helical cone-beam CT by combining compressed sensing and deep learning
Kentaro Kawamata ... Subaru Kazuo
-
Kentaro Kawamata, et. al.Kentaro Kawamata ... Subaru Kazuo
20 Apr 2021
Applying a CT texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis.
Qingle Wang ... Guozhi Zhang
Journal of applied clinical medical physics | VOL. 23
Qingle Wang, et. al.Qingle Wang ... Guozhi Zhang
23 Aug 2022
Low-dose CT with deep learning regularization via proximal forward–backward splitting
Qiaoqiao Ding ... Gaoyu Chen
Physics in Medicine & Biology | VOL. 65
Qiaoqiao Ding, et. al.Qiaoqiao Ding ... Gaoyu Chen
15 Jun 2020
View more papers

More From: IEEE Access

Paper Title
Journal
Date
Author
Analysis of Standards-Based Counterfeit Microelectronics Detection Methods
Devon Richman ... Michael Pecht
IEEE Access | VOL. -
Devon Richman, et. al.Devon Richman ... Michael Pecht
01 Jan 2025
Studies on Underwater Image Processing Using Artificial Intelligence Technologies
Sugunapriya ... S Markkandan
IEEE Access | VOL. -
Sugunapriya, et. al. Sugunapriya ... S Markkandan
01 Jan 2025
Evaluating Mathematical Problem-Solving Abilities of Generative AI Models: Performance Analysis of o1-preview and gpt-4o Using the Korean College Scholastic Ability Test
Sejun Oh
IEEE Access | VOL. 13
Sejun OhSejun Oh
01 Jan 2025
Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D
Pawel Tomasz Pieta ... Anders Nymark Christensen
IEEE Access | VOL. -
Pawel Tomasz Pieta, et. al.Pawel Tomasz Pieta ... Anders Nymark Christensen
01 Jan 2025
View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.