Noise dependent training for deep parallel ensemble denoising in magnetic resonance images
In this paper, a deep learning technique is proposed for the removal of Gaussian-impulse
noise from Magnetic Resonance images (MRI). The proposed technique is inspired from the …
noise from Magnetic Resonance images (MRI). The proposed technique is inspired from the …
MR denoising increases radiomic biomarker precision and reproducibility in oncologic imaging
M Fernández Patón, L Cerdá Alberich… - Journal of Digital …, 2021 - Springer
Several noise sources, such as the Johnson–Nyquist noise, affect MR images disturbing the
visualization of structures and affecting the subsequent extraction of radiomic data. We …
visualization of structures and affecting the subsequent extraction of radiomic data. We …
Perceptually motivated generative model for magnetic resonance image denoising
Image denoising is an important preprocessing step in low-level vision problems involving
biomedical images. Noise removal techniques can greatly benefit raw corrupted magnetic …
biomedical images. Noise removal techniques can greatly benefit raw corrupted magnetic …
Attention-based noise prior network for magnetic resonance image denoising
Data obtained from magnitude magnetic resonance images (MRI) are corrupted by signal-
dependent and spatially variant Rician noise. The contribution of this work can be discussed …
dependent and spatially variant Rician noise. The contribution of this work can be discussed …
A serial attention module‐based deep convolutional neural network for mixed Gaussian‐impulse removal
J Jiang, K Yang, X Xu, Y Cui - IET Image Processing, 2023 - Wiley Online Library
The removal of mixed noise is a challenging task because the attenuation of the noise
distribution cannot be described precisely. The coupling of additive white Gaussian noise …
distribution cannot be described precisely. The coupling of additive white Gaussian noise …
Deep variational magnetic resonance image denoising via network conditioning
In this paper, we propose a variational approach towards denoising magnetic resonance
images (MRI) corrupted by spatially variant and signal-dependent Rician noise in a deep …
images (MRI) corrupted by spatially variant and signal-dependent Rician noise in a deep …
Image enhancement under Gaussian impulse noise for satellite and medical applications
Remote sensing technologies such as hyperspectral imaging (HSI) and medical imaging
techniques such as magnetic resonance imaging (MRI) form the pillars of human …
techniques such as magnetic resonance imaging (MRI) form the pillars of human …