Medical Image Synthesis and Statistical Reconstruction Methods-Reference-Cited by-同舟云学术

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Medical Image Synthesis and Statistical Reconstruction Methods

Published:2023 Issue:0 Volume:12 Page:21-27
ISSN:2187-5219
Container-title:Advanced Biomedical Engineering
language:en
Short-container-title:ABE

Author:

Nakao Megumi¹

Affiliation:

1. Graduate School of Medicine, Kyoto University

Publisher

Japanese Society for Medical and Biological Engineering

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering,Biomaterials,Biotechnology

Link

https://www.jstage.jst.go.jp/article/abe/12/0/12_12_21/_pdf

Reference53 articles.

1. 1. Yi X, Walia E, Babyn P: Generative adversarial network in medical imaging: A review. Med Image Anal. 58, 101552, 2019.

2. 2. Wang T, Lei Y, Fu Y, Wynne JF, Curran WG, Liu T, Yang X: A review on medical imaging synthesis using deep learning and its clinical applications. J Appl Clin Med Phys. 22, 11–36, 2021.

3. 3. Posiewnik M, Piotrowski T: A review of cone-beam CT applications for adaptive radiotherapy of prostate cancer. Physica Medica. 59, 13–21, 2019.

4. 4. Nakao M, Nakamura M, Mizowaki T, Matsuda T: Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization. Med Image Anal. 67, 101829, 2021.

5. 5. Reyneke CJF, Lüthi M, Burdin V, Douglas T, Vetter T, Mutsvangwa T: Review of 2-D/3-D reconstruction using statistical shape and intensity models and X-Ray image synthesis: toward a unified framework. IEEE Rev Biomed Eng. 12, 269–286, 2019.

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