Concepedia

Deep learning-based synthetic CT generation from MR images: comparison of generative adversarial and residual neural networks

Faeze Gholamiankhah, Samaneh Mostafapour, Hossein Arabi

Internatuinal Journal of Radiation Research · 2022 · 47 citations · 26 references

DOIFull text

Open access

Concepts

Abstract

Deep learning-based synthetic CT generation from MR images: comparison of generative adversarial and residual neural networks

References

26

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

, , +11

Tissue Classification as a Potential Approach for Attenuation Correction in Whole-Body PET/MRI: Evaluation with PET/CT Data

Axel Martínez-Möller, Michael Souvatzoglou, Gaspar Delso et al. · Journal of Nuclear Medicine · 2009 · 709 citations · Full text

, , +12

Deep Learning MR Imaging–based Attenuation Correction for PET/MR Imaging

Fang Liu, Hyungseok Jang, Richard Kijowski et al. · Radiology · 2017 · 411 citations · Full text

, , +17

Generating synthetic CTs from magnetic resonance images using generative adversarial networks

Hajar Emami, Ming Dong, Siamak P. Nejad‐Davarani et al. · Medical Physics · 2018 · 295 citations · Full text

, , +17

Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI

Andrew P. Leynes, Jaewon Yang, Florian Wiesinger et al. · Journal of Nuclear Medicine · 2017 · 253 citations · Full text

, , +17