Efficient and accurate MRI super-resolution using a generative adversarial network and 3D multi-level densely connected network

Y Chen, F Shi, AG Christodoulou, Y Xie… - … conference on medical …, 2018 - Springer
High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical
information important for clinical application and quantitative image analysis. However, HR …

Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network

Y Chen, F Shi, AG Christodoulou, Y Xie, Z Zhou, D Li - 2018 - Springer
High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical
information important for clinical application and quantitative image analysis. However, HR …

Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network

Y Chen, F Shi, AG Christodoulou, Z Zhou… - arXiv preprint arXiv …, 2018 - arxiv.org
High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical
information important for clinical application and quantitative image analysis. However, HR …

[PDF][PDF] Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network

Y Chen, F Shi, AG Christodoulou, Z Zhou, Y Xie, D Li - researchgate.net
High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical
information important for clinical application and quantitative image analysis. However, HR …

Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network

Y Chen, F Shi, AG Christodoulou, Z Zhou… - arXiv e …, 2018 - ui.adsabs.harvard.edu
High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical
information important for clinical application and quantitative image analysis. However, HR …

Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network

Y Chen, F Shi, AG Christodoulou, Y Xie, Z Zhou, D Li - 2018 - escholarship.org
High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical
information important for clinical application and quantitative image analysis. However, HR …

[引用][C] Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network

Y Chen, F Shi, AG Christodoulou, Y Xie… - … Image Computing and …, 2018 - cir.nii.ac.jp
Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D
Multi-level Densely Connected Network | CiNii Research CiNii 国立情報学研究所 学術情報 …

Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network

Y Chen, F Shi, AG Christodoulou, Y Xie… - … Conference on Medical …, 2018 - dl.acm.org
High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical
information important for clinical application and quantitative image analysis. However, HR …

[PDF][PDF] Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network

Y Chen, F Shi, AG Christodoulou, Z Zhou, Y Xie, D Li - researchgate.net
High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical
information important for clinical application and quantitative image analysis. However, HR …