Publications dans lesquelles il/elle collabore avec CARLOS ALBEROLA LOPEZ (37)

2024

  1. Simplifying YOLOv5 for deployment in a real crop monitoring setting

    Multimedia Tools and Applications, Vol. 83, Núm. 17, pp. 50197-50223

2023

  1. Convolution-based free-form deformation for multimodal groupwise registration

    Signal Processing, Vol. 210

  2. Efficient convolution-based pairwise elastic image registration on three multimodal similarity metrics

    Signal Processing, Vol. 202

  3. Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups

    Artificial intelligence in medicine, Vol. 143, pp. 102630

2021

  1. Fast 4D elastic group-wise image registration. Convolutional interpolation revisited

    Computer Methods and Programs in Biomedicine, Vol. 200

  2. Physics-Informed Self-supervised Deep Learning Reconstruction for Accelerated First-Pass Perfusion Cardiac MRI

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. Evaluation in a Real Environment of a Trainable Cough Monitoring App for Smartphones

    IFMBE Proceedings

  2. Groupwise non-rigid registration with deep learning: An affordable solution applied to 2D cardiac cine MRI reconstruction

    Entropy, Vol. 22, Núm. 6

  3. Objective ADHD Diagnosis Using Convolutional Neural Networks over Daily-Life Activity Records

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 9, pp. 2690-2700

2019

  1. A Second Order Multi-Stencil Fast Marching Method with a Non-Constant Local Cost Model

    IEEE Transactions on Image Processing, Vol. 28, Núm. 4, pp. 1967-1979

  2. Groupwise Deep Learning-based Approach for Motion Compensation. Application to Compressed Sensing 2D Cardiac Cine MRI Reconstruction

    Hacia una salud personalizada y universal. XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Actas del Congreso CASEIB 2019

  3. Reconstruction techniques for cardiac cine MRI

    Insights into Imaging, Vol. 10, Núm. 1

2015

  1. Fast calculation of α-stable density functions based on off-line precomputations. Application to ML parameter estimation

    Digital Signal Processing: A Review Journal, Vol. 38, pp. 1-12

  2. PPG beat reconstruction based on shape models and probabilistic templates for signals acquired with conventional smartphones

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2014

  1. A stochastic modelling framework for the reconstruction of cardiovascular signals

    2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

  2. Automatic detection of wakefulness and rest intervals in actigraphic signals: A data-driven approach

    Medical Engineering and Physics, Vol. 36, Núm. 12, pp. 1585-1592

  3. ECG signal reconstruction based on stochastic joint-modeling of the ECG and the PPG signals

    IFMBE Proceedings

2013

  1. A magnetic resonance software simulator for the evaluation of myocardial deformation estimation

    Medical Engineering and Physics, Vol. 35, Núm. 9, pp. 1331-1340

  2. Probabilistic modeling of the oxygen saturation pattern for the detection of anomalies during clinical interventions

    Computing in Cardiology

  3. Stochastic modeling of the PPG signal: A synthesis-by-analysis approach with applications

    IEEE Transactions on Biomedical Engineering, Vol. 60, Núm. 9, pp. 2432-2441