Bases de datos bibliográficas:

Publicaciones del académico:

• Automatic Cluster Selection in K-Means Lung Segmentation
• A novel method to quantify micro-algae cells based on a basic microscope and a 3D printed device

• Towards Fibrotic Tissue Automatic Estimation in Computer Tomography Interstitial Lung Disease

• Spectral imagery tensor decomposition for semantic segmentation of remote sensing data through fully convolutional networks

• Is sex an influential factor in type-1 diabetes neurofunctional development? A preliminary study
• Convolutional Neural Networks for Semantic Segmentation of Multispectral Remote Sensing Images
• Is sex an influential factor in type‐1 diabetes neurofunctional development? A preliminary study

• IS GENDER AN INFLUENTIAL FACTOR IN TYPE-1 DIABETES NEUROFUNCTIONAL EVOLUTION?

• Feature enhanced radar imaging via neural network computing-based sensor fusion
• Multi-level L2- L1-structured regularization technique for recovery of material abundances maps from hyperspectral remote sensing imagery
• Intelligent neural computing-based way for multi-sensor imaging radar data fusion
• Maximum entropy neural networks for feature enhanced imaging with collaborative microwave multi-sensor data fusion
• Multi-Level l^ sub 2^-l^ sub 1^-Structured Regularization Technique For Recovery of Material Abundances Maps From Hyperspectral Remote Sensing Imagery

• Intelligent image processing for vegetation classification using multispectral LANDSAT data

• Intelligent Remote Sensing image post-processing via two-level robust adaptive Neural Network computing

• Reconstruction of remote sensing imagery via fused multimode neural network computing
• L2-l1 structured descriptive experiment design regularization based enhancement of fractional SAR imagery
• ℓ2− ℓ1 Structured descriptive experiment design regularization based enhancement of fractional SAR imagery

• Reconstruction of multimode remote sensing imagery based on multilevel experiment design regularization
• Hopfield and pulse coupled neural networks aggregation for enhanced change detection in remote sensing imagery
• High-resolution imaging with uncertain radar measurement data: A doubly regularized compressive sensing experiment design approach
• Near Real-Time enhancement of fractional sar imagery via adaptive maximum entropy neural network computing

• Bayesian dynamic experiment design regularization framework for high-resolution radar/SAR imaging
• Modified Hopfield neural network computational technique for real-time fusion of multimode radar/SAR imagery
• Dynamic experiment design regularization approach to adaptive imaging with array Radar/SAR sensor systems
• Resolution-enhanced radar/SAR imaging: an experiment design framework combined with neural network-adapted variational analysis regularization

• Fused variational analysis technique for high-resolution reconstruction of remote sensing imagery
• Aggregated convex regularization and variational analysis technique for enhancement of mm waveband remote sensing imagery
• Near Real Time Enhancement of Fractional SAR Imagery Based on Robust Descriptive Experiment Design Regularization Framework

• Intelligent experiment design-based virtual remote sensing laboratory
• Unified experiment design, Bayesian minimum risk and convex projection regularization method for enhanced remote sensing imaging
• Enhanced remote sensing imaging in uncertain environment: Fusing adaptive least squares and variational analysis methods
• Aggregated regularization of remote sensing image restoration using deterministic and statistic techniques
• Enhanced Remote Sensing Imaging in Uncertain Environment Fusing Adaptive Least Squares and Variational Analysis Methods