A5028623087- Advanced MRI Techniques and Applications
- Medical Image Segmentation Techniques
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Image and Signal Denoising Methods
- Cardiac Imaging and Diagnostics
- Heart Rate Variability and Autonomic Control
- Radiomics and Machine Learning in Medical Imaging
- Elasticity and Material Modeling
- Advanced Vision and Imaging
- Atomic and Subatomic Physics Research
- Image Retrieval and Classification Techniques
- MRI in cancer diagnosis
- Sparse and Compressive Sensing Techniques
- Cardiovascular Function and Risk Factors
- 3D Shape Modeling and Analysis
- Neural Networks and Applications
- Advanced Data Compression Techniques
- Fuzzy Logic and Control Systems
- Ultrasound Imaging and Elastography
- Digital Image Processing Techniques
- Advanced Image Fusion Techniques
- Computer Graphics and Visualization Techniques
- AI in cancer detection
- Tensor decomposition and applications
Universidad de Valladolid
2015-2024
El Hospital General de Agudos Carlos G. Durand
2018
European Telecommunications Standards Institute
2000-2018
Fundación Universitaria de Ciencias de la Salud
2017
Centro de Investigación y Proyectos en Ambiente y Desarrollo
2015
Intel (United States)
2014
Universidad Politécnica de Madrid
1994-2013
Eisenhower Medical Center
2006-2008
Universidad de Antioquia
2005-2008
Harvard University
2006-2008
In this paper, we focus on the problem of speckle removal by means anisotropic diffusion and, specifically, importance correct estimation statistics involved. First, derive an filter that does not depend a linear approximation model assumed, which is case previously reported filter, namely, SRAD. Then, coefficient variation both signal and noise itself. Our experiments indicate neighborhoods used for parameter do need to coincide with those in equations. show that, as long estimates are good...
A new method for noise filtering in images that follow a Rician model-with particular attention to magnetic resonance imaging-is proposed. To end, we have derived (novel) closed-form solution of the linear minimum mean square error (LMMSE) estimator this distribution. Additionally, set methods automatically estimate power are developed. These use information sample distribution local statistics image, such as variance, mean, and value. Accordingly, dynamic estimation leads recursive version...
A new and complementary method to assess image quality is presented. It based on the comparison of local variance distribution two images. This index better suited non-stationarity images, therefore it explicitly focuses structure. We show that this outperforms other methods for assessment in medical
Ultrasound imaging exhibits considerable difficulties for medical visual inspection and the development of automatic analysis methods due to speckle, which negatively affects perception tissue boundaries performance segmentation methods.With aim alleviating effect many filtering techniques are usually considered as a preprocessing step prior or inspection.Most state-of-the-art filters try reduce speckle without considering its relevance characterization nature.However, phenomenon is inherent...
This paper proposes a novel method to detect anomalies in network traffic, based on nonrestricted α-stable first-order model and statistical hypothesis testing. To this end, we give evidence that the marginal distribution of real traffic is adequately modeled with functions classify patterns by means Generalized Likelihood Ratio Test (GLRT). The automatically chooses windows used as reference, which window under test compared with, no expert intervention needed end. We focus detecting two...
Myocardial perfusion cardiovascular magnetic resonance (pCMR) using first-pass contrast-enhanced imaging could play an important role in the detection of epicardial and microvascular coronary artery disease. Recently, emergence quantitative pCMR has provided a more reliable observer-independent analysis compared to visual interpretation dynamic images. This review aims cover basics pCMR, from acquisition protocols, its use preclinical clinical studies, image reconstruction motion handling,...
In this paper, we propose a stochastic model of photoplethysmographic signals that is able to synthesize an arbitrary number other statistically equivalent the one under analysis. To end, first preprocess pulse signal normalize and time-align pulses. second stage, design single-pulse model, which consists ten parameters. third time evolution ten-parameter vector approximated by means two autoregressive moving average models, for trend residue; applied after decorrelation step let us process...
Purpose Compressed sensing methods with motion estimation and compensation techniques have been proposed for the reconstruction of accelerated dynamic MRI. However, artifacts that naturally arise in compressed procedures hinder from reconstructed images, especially at high acceleration factors. This work introduces a robust groupwise nonrigid technique applied to cardiac cine MRI sequences. Theory Methods A spatio‐temporal regularized, groupwise, registration method based on B‐splines...
To meet antenna design specifications under realistic conditions, electromagnetic coupling effects between the and its environment must be considered. In this work, an efficient optimization methodology that considers influence of human head main mobile handset components on performance is presented. The computational time dramatically reduced by exploiting a Broyden-based input space mapping (SM) algorithm. Both coarse fine models required for SM algorithm are based finite-element method...
Attention Deficit/Hyperactivity Disorder (ADHD) is the most common neurobehavioral disorder in children and adolescents. However, its etiology still unknown, this hinders existence of reliable, fast inexpensive standard diagnostic methods.This paper proposes an end-to-end methodology for automatic diagnosis combined type ADHD.Diagnosis based on analysis 24 hour-long activity records using Convolutional Neural Networks to classify spectrograms windows.We achieve up [Formula: see text] average...
Background and Objective: Synthetic magnetic resonance imaging (MRI) is a low cost procedure that serves as bridge between qualitative quantitative MRI.However, the proposed methods require very specific sequences or private protocols which have scarcely found integration in clinical scanners.We propose learning-based approach to compute T1, T2, PD parametric maps from only pair of T1-and T2-weighted images customarily acquired routine.Methods: Our based on convolutional neural network (CNN)...
Purpose To develop an open‐source, high‐performance, easy‐to‐use, extensible, cross‐platform, and general MRI simulation framework (Koma). Methods Koma was developed using the Julia programming language. Like other simulators, it solves Bloch equations with CPU GPU parallelization. The inputs are scanner parameters, phantom, pulse sequence that is Pulseq‐compatible. raw data stored in ISMRMRD format. For reconstruction, MRIReco.jl used. A graphical user interface utilizing web technologies...
Practitioners' decision for mechanical aid discontinuation is a challenging task that involves complete knowledge of great number clinical parameters, as well its evolution in time. Recently, an increasing interest on respiratory pattern variability extubation readiness indicator has appeared. Reliable assessment this set signal processing and recognition techniques. This paper presents suitability analysis different methods used breathing complexity assessment. The contribution threefold:...
Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder in childhood that often persists into adulthood. Objectively diagnosing ADHD can be challenging due to the reliance on subjective questionnaires clinical assessment. Fortunately, recent advancements artificial intelligence (AI) have shown promise providing objective diagnoses through analysis of medical images or activity recordings. These AI-based techniques demonstrated accurate diagnosis; however,...