Peter Rongen
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View article: Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks
Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks Open
Encoding-decoding (ED) CNNs have demonstrated state-of-the-art performance for noise reduction over the past years. This has triggered the pursuit of better understanding the inner workings of such architectures, which has led to the theor…
View article: Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content
Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content Open
X-ray Computed Tomography (CT) is an imaging modality where patients are exposed to potentially harmful ionizing radiation. To limit patient risk, reduced-dose protocols are desirable, which inherently lead to an increased noise level in t…