TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction-Reference-Cited by-同舟云学术

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TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction

Published:2024-08 Issue: Volume:96 Page:103190
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Guo Xueqi^ORCID,Shi Luyao,Chen Xiongchao^ORCID,Liu Qiong,Zhou Bo^ORCID,Xie Huidong^ORCID,Liu Yi-Hwa,Palyo Richard,Miller Edward J.,Sinusas Albert J.^ORCID,Staib Lawrence^ORCID,Spottiswoode Bruce^ORCID,Liu Chi,Dvornek Nicha C.^ORCID

Funder

National Institutes of Health

Publisher

Elsevier BV

Reference84 articles.

1. Paired-unpaired Unsupervised Attention Guided GAN with transfer learning for bidirectional brain MR-CT synthesis;Abu-Srhan;Comput. Biol. Med.,2021

2. Semantically consistent hierarchical text to fashion image synthesis with an enhanced-attentional generative adversarial network;Ak,2019

3. Semantically consistent text to fashion image synthesis with an enhanced attentional generative adversarial network;Ak;Pattern Recognit. Lett.,2020

4. AlBahar, B., Huang, J.-B., 2019. Guided image-to-image translation with bi-directional feature transformation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 9016–9025.

5. Cardiac positron emission tomography: Overview of myocardial perfusion, myocardial blood flow and coronary flow reserve imaging;Burckhardt;Mol. Imaging,2009

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