Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?
With the aging population, prevalence of neurodegenerative diseases is increasing, thus
placing a growing burden on individuals and the whole society. However, individual rates of …
placing a growing burden on individuals and the whole society. However, individual rates of …
A review on medical image denoising algorithms
SVM Sagheer, SN George - Biomedical signal processing and control, 2020 - Elsevier
Over the past two decades, medical imaging and diagnostic techniques have gained
immense attraction due to the rapid development in computing, internet, data storage and …
immense attraction due to the rapid development in computing, internet, data storage and …
Denoising of diffusion MRI using random matrix theory
We introduce and evaluate a post-processing technique for fast denoising of diffusion-
weighted MR images. By exploiting the intrinsic redundancy in diffusion MRI using universal …
weighted MR images. By exploiting the intrinsic redundancy in diffusion MRI using universal …
Content-noise complementary learning for medical image denoising
Medical imaging denoising faces great challenges, yet is in great demand. With its
distinctive characteristics, medical imaging denoising in the image domain requires …
distinctive characteristics, medical imaging denoising in the image domain requires …
MR image denoising and super-resolution using regularized reverse diffusion
Patient scans from MRI often suffer from noise, which hampers the diagnostic capability of
such images. As a method to mitigate such artifacts, denoising is largely studied both within …
such images. As a method to mitigate such artifacts, denoising is largely studied both within …
Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …
diagnoses and research which underpin many recent breakthroughs in medicine and …
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
Deformable registration of images obtained from different modalities remains a challenging
task in medical image analysis. This paper addresses this important problem and proposes …
task in medical image analysis. This paper addresses this important problem and proposes …
Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review
Prostate cancer is the second most diagnosed cancer of men all over the world. In the last
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
Adaptive non‐local means denoising of MR images with spatially varying noise levels
Purpose: To adapt the so‐called nonlocal means filter to deal with magnetic resonance (MR)
images with spatially varying noise levels (for both Gaussian and Rician distributed noise) …
images with spatially varying noise levels (for both Gaussian and Rician distributed noise) …
Impact of image preprocessing methods on reproducibility of radiomic features in multimodal magnetic resonance imaging in glioblastoma
H Moradmand, SMR Aghamiri… - Journal of applied …, 2020 - Wiley Online Library
To investigate the effect of image preprocessing, in respect to intensity inhomogeneity
correction and noise filtering, on the robustness and reproducibility of the radiomics features …
correction and noise filtering, on the robustness and reproducibility of the radiomics features …