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EJNMMI supplement: bringing AI and radiomics to nuclear medicine.

作者信息

Veit-Haibach Patrick, Buvat Irène, Herrmann Ken

机构信息

Toronto Joint Department Medical Imaging, University Health Network, Women's College Hospital, University of Toronto, Toronto, ON, Canada.

Imagerie Moléculaire In Vivo, CEA, Inserm, Univ Paris Sud, CNRS, Université Paris Saclay, Orsay, France.

出版信息

Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2627-2629. doi: 10.1007/s00259-019-04395-4.

DOI:10.1007/s00259-019-04395-4
PMID:31240329
Abstract
摘要

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Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2673-2699. doi: 10.1007/s00259-019-04414-4. Epub 2019 Jul 11.
2
Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.人工智能、机器（深度学习）和放射（基因组）学：定义和核医学成像应用。
Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2630-2637. doi: 10.1007/s00259-019-04373-w. Epub 2019 Jul 6.
3
Next generation research applications for hybrid PET/MR and PET/CT imaging using deep learning.
基于PET的放射组学特征和吸收剂量指标预测钇90放射性栓塞治疗中的肿瘤反应
EJNMMI Phys. 2020 Dec 9;7(1):74. doi: 10.1186/s40658-020-00340-9.
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A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions.一种用于在挑战性散射条件下快速准确估计定量 SPECT/CT 中的散射的深度神经网络。
Eur J Nucl Med Mol Imaging. 2020 Dec;47(13):2956-2967. doi: 10.1007/s00259-020-04840-9. Epub 2020 May 15.
利用深度学习的混合 PET/MR 和 PET/CT 成像的下一代研究应用。
Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2700-2707. doi: 10.1007/s00259-019-04374-9. Epub 2019 Jun 29.
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Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2638-2655. doi: 10.1007/s00259-019-04391-8. Epub 2019 Jun 25.
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