Search Results - "Manjon, Jose V."
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Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation
Published in NeuroImage (Orlando, Fla.) (15-01-2011)“…Quantitative magnetic resonance analysis often requires accurate, robust, and reliable automatic extraction of anatomical structures. Recently,…”
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2
volBrain: An Online MRI Brain Volumetry System
Published in Frontiers in neuroinformatics (27-07-2016)“…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…”
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3
Diffusion weighted image denoising using overcomplete local PCA
Published in PloS one (03-09-2013)“…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…”
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4
MRI noise estimation and denoising using non-local PCA
Published in Medical image analysis (01-05-2015)“…[Display omitted] •Sparseness can be used to effectively reduce noise in the images.•Local PCA allows a sparser representation compared to local DCT.•Combining…”
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CERES: A new cerebellum lobule segmentation method
Published in NeuroImage (Orlando, Fla.) (15-02-2017)“…The human cerebellum is involved in language, motor tasks and cognitive processes such as attention or emotional processing. Therefore, an automatic and…”
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6
Adaptive non-local means denoising of MR images with spatially varying noise levels
Published in Journal of magnetic resonance imaging (01-01-2010)“…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…”
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7
New methods for MRI denoising based on sparseness and self-similarity
Published in Medical image analysis (01-01-2012)“…Scheme of the proposed method. The ODCT3D method is used to produce a prefiltered image that is used by the RI-NLM3D method as reference to filter the original…”
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BEaST: Brain extraction based on nonlocal segmentation technique
Published in NeuroImage (Orlando, Fla.) (01-02-2012)“…Brain extraction is an important step in the analysis of brain images. The variability in brain morphology and the difference in intensity characteristics due…”
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9
Collaborative patch-based super-resolution for diffusion-weighted images
Published in NeuroImage (Orlando, Fla.) (01-12-2013)“…In this paper, a new single image acquisition super-resolution method is proposed to increase image resolution of diffusion weighted (DW) images. Based on a…”
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10
Non-local MRI upsampling
Published in Medical image analysis (01-12-2010)“…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…”
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11
HIPS: A new hippocampus subfield segmentation method
Published in NeuroImage (Orlando, Fla.) (01-12-2017)“…The importance of the hippocampus in the study of several neurodegenerative diseases such as Alzheimer's disease makes it a structure of great interest in…”
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12
RegQCNET: Deep quality control for image-to-template brain MRI affine registration
Published in Physics in medicine & biology (21-11-2020)“…Affine registration of one or several brain image(s) onto a common reference space is a necessary prerequisite for many image processing tasks, such as brain…”
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13
Robust Rician noise estimation for MR images
Published in Medical image analysis (01-08-2010)“…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…”
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14
Toward a unified analysis of cerebellum maturation and aging across the entire lifespan: A MRI analysis
Published in Human brain mapping (01-04-2021)“…Previous literature about the structural characterization of the human cerebellum is related to the context of a specific pathology or focused in a restricted…”
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Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
Published in NeuroImage (Orlando, Fla.) (01-12-2018)“…The human cerebellum plays an essential role in motor control, is involved in cognitive function (i.e., attention, working memory, and language), and helps to…”
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Simultaneous segmentation and grading of anatomical structures for patient's classification: Application to Alzheimer's disease
Published in NeuroImage (Orlando, Fla.) (15-02-2012)“…In this paper, we propose an innovative approach to robustly and accurately detect Alzheimer's disease (AD) based on the distinction of specific atrophic…”
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Detection of Alzheimer's disease signature in MR images seven years before conversion to dementia: Toward an early individual prognosis
Published in Human brain mapping (01-12-2015)“…Finding very early biomarkers of Alzheimer's Disease (AD) to aid in individual prognosis is of major interest to accelerate the development of new therapies…”
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18
An Optimized PatchMatch for multi-scale and multi-feature label fusion
Published in NeuroImage (Orlando, Fla.) (01-01-2016)“…Automatic segmentation methods are important tools for quantitative analysis of Magnetic Resonance Images (MRI). Recently, patch-based label fusion approaches…”
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19
Hippocampal‐amygdalo‐ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models
Published in Human brain mapping (01-07-2022)“…In this article, we present an innovative MRI‐based method for Alzheimer disease (AD) detection and mild cognitive impairment (MCI) prognostic, using lifespan…”
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Multi-scale graph-based grading for Alzheimer’s disease prediction
Published in Medical image analysis (01-01-2021)“…•This work introduces a new approach combining patch-based grading and graph-based model.•Combination of inter-subject similarity and intra-subject variability…”
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