Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis-Reference-Cited by-同舟云学术

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Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis

Published:2024-07 Issue:7 Volume:28 Page:4084-4093
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Dorjsembe Zolnamar¹^ORCID,Pao Hsing-Kuo¹^ORCID,Odonchimed Sodtavilan²^ORCID,Xiao Furen³^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

2. Faculty of Engineering, University of Tokyo, Tokyo, Japan

3. Institute of Medical Device and Imaging, National Taiwan University, College of Medicine, Taipei, Taiwan

Funder

National Science and Technology Council, Taiwan

National Taiwan University Hospital

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10582272/10493074.pdf?arnumber=10493074

Reference45 articles.

1. Medical image analysis based on deep learning approach

2. A survey on deep learning in medical image analysis

3. Transformers in medical image analysis

4. Impact of quality, type and volume of data used by deep learning models in the analysis of medical images

5. Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

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1. Synthetic Microwave 3D Breast Models: A Step Forward with Denoising Diffusion Models;2024 IEEE MTT-S International Microwave Biomedical Conference (IMBioC);2024-06-11

2. Synthetic data in radiological imaging: current state and future outlook;BJR|Artificial Intelligence;2024-01

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