Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals-Reference-Cited by-同舟云学术

Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals

Published:2024 Issue:3 Volume:25 Page:224
ISSN:1229-6929
Container-title:Korean Journal of Radiology
language:en
Short-container-title:Korean J Radiol

Author:

Kim Kiduk¹^ORCID,Cho Kyungjin²^ORCID,Jang Ryoungwoo³^ORCID,Kyung Sunggu²^ORCID,Lee Soyoung²^ORCID,Ham Sungwon⁴^ORCID,Choi Edward⁵^ORCID,Hong Gil-Sun⁶^ORCID,Kim Namkug¹⁶^ORCID

Affiliation:

1. Department of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

2. Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

3. Coreline Soft Co., Ltd., Seoul, Republic of Korea.

4. Healthcare Readiness Institute for Unified Korea, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.

5. Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.

6. Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.

Funder

Korea Health Industry Development Institute

Publisher

XMLink

Link

https://kjronline.org/pdf/10.3348/kjr.2023.0818

Reference144 articles.

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2. A style-based generator architecture for generative adversarial networks. accessed on August 28, 2023. Available at: https://openaccess.thecvf.com/content_CVPR_2019/papers/Karras_A_Style-Based_Generator_Architecture_for_Generative_Adversarial_Networks_CVPR_2019_paper.pdf

3. Denoising diffusion probabilistic models. accessed on August 28, 2023. Available at: https://proceedings.neurips.cc/paper/2020/file/4c5bcfec8584af0d967f1ab10179ca4b-Paper.pdf

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