User profiles for J. V. Manjón
José V ManjónProfessor, ITACA institute, Universidad Politécnica de Valencia Verified email at fis.upv.es Cited by 9019 |
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). …
Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation
Quantitative magnetic resonance analysis often requires accurate, robust, and reliable
automatic extraction of anatomical structures. Recently, template-warping methods incorporating …
automatic extraction of anatomical structures. Recently, template-warping methods incorporating …
MRI denoising using non-local means
Magnetic Resonance (MR) images are affected by random noise which limits the accuracy of
any quantitative measurements from the data. In the present work, a recently proposed filter …
any quantitative measurements from the data. In the present work, a recently proposed filter …
BEaST: brain extraction based on nonlocal segmentation technique
Brain extraction is an important step in the analysis of brain images. The variability in brain
morphology and the difference in intensity characteristics due to imaging sequences make …
morphology and the difference in intensity characteristics due to imaging sequences make …
[HTML][HTML] volBrain: an online MRI brain volumetry system
The amount of medical image data produced in clinical and research settings is rapidly growing
resulting in vast amount of data to analyze. Automatic and reliable quantitative analysis …
resulting in vast amount of data to analyze. Automatic and reliable quantitative analysis …
[HTML][HTML] Diffusion weighted image denoising using overcomplete local PCA
Diffusion Weighted Images (DWI) normally shows a low Signal to Noise Ratio (SNR) due to
the presence of noise from the measurement process that complicates and biases the …
the presence of noise from the measurement process that complicates and biases the …
New methods for MRI denoising based on sparseness and self-similarity
This paper proposes two new methods for the three-dimensional denoising of magnetic
resonance images that exploit the sparseness and self-similarity properties of the images. The …
resonance images that exploit the sparseness and self-similarity properties of the images. The …
Non-local MRI upsampling
In Magnetic Resonance Imaging, image resolution is limited by several factors such as
hardware or time constraints. In many cases, the acquired images have to be upsampled to …
hardware or time constraints. In many cases, the acquired images have to be upsampled to …
Robust Rician noise estimation for MR images
In this paper, a new object-based method to estimate noise in magnitude MR images is
proposed. The main advantage of this object-based method is its robustness to background …
proposed. The main advantage of this object-based method is its robustness to background …
Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis
There is no consensus in literature about lifespan brain maturation and senescence, mainly
because previous lifespan studies have been performed on restricted age periods and/or …
because previous lifespan studies have been performed on restricted age periods and/or …