Luis Herrera

Luis Herrera
University of Granada | UGR · Department of Architecture and Computer Technology

About

181
Publications
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Publications

Publications (181)
Chapter
The precision and personalized medicine is declared as the next revolutionary paradigm in the current health outlook. With this assumption, many challenges must be faced to achieve that paradigm shift. One of these important challenges is the creation and development of tools with the capability of exploiting biological data to infer or extract new...
Chapter
One of the most important situations in recent years has been originated by the 2019 Coronavirus disease (COVID-19). Nowadays this disease continues to cause a large number of deaths and remains one of the main diseases in the world. In this disease is very important the early detection to avoid the spread, as well as to monitor the progress of the...
Article
Background Despite all the medical advances introduced for personalized patient treatment and the research supported in search of genetic patterns inherent to the occurrence of its different manifestations on the human being, the unequivocal and effective treatment of cancer unfortunately remains as an unresolved challenge within the scientific pan...
Article
Full-text available
Differentiation between the various non-small-cell lung cancer subtypes is crucial for providing an effective treatment to the patient. For this purpose, machine learning techniques have been used in recent years over the available biological data from patients. However, in most cases this problem has been treated using a single-modality approach,...
Article
Background SARS-CoV-2 has paralyzed mankind due to its high transmissibility and its associated mortality, causing millions of infections and deaths worldwide. The search for gene expression biomarkers from the host transcriptional response to infection may help understand the underlying mechanisms by which the virus causes COVID-19. This research...
Article
Full-text available
The coronavirus disease 2019 (COVID-19) has caused millions of deaths and one of the greatest health crises of all time. In this disease, one of the most important aspects is the early detection of the infection to avoid the spread. In addition to this, it is essential to know how the disease progresses in patients, to improve patient care. This co...
Article
Objective To assess accuracy of reflectance reconstruction and color estimation of different dental materials with varying thicknesses using Principal Component Analysis (PCA). Method A1, A2, A3, A3.5, B2, C2 and D2 shades and 5 thicknesses (within 0.5–2.5 mm range) of Vita Suprinity (VS-PC) and Vitapan Dentine (VD), were used. Reflectance measure...
Article
Background: Nowadays, gene expression analysis is one of the most promising pillars for understanding and uncovering the mechanisms underlying the development and spread of cancer. In this sense, Next Generation Sequencing technologies, such as RNA-Seq, are currently leading the market due to their precision and cost. Nevertheless, there is still a...
Article
Full-text available
Objective To perform a comprehensive review of the use of artificial intelligence (AI) and machine learning (ML) in dentistry, providing the community with a broad insight on the different advances that these technologies and tools have produced, paying special attention to the area of esthetic dentistry and color research. Materials and methods T...
Chapter
Due to the high spread of the COVID-19 virus, several diagnosis support systems are being developed in order to detect the disease in a faster and accurate way. In this paper, a stacking method for Computed Tomography (CT) scans has been implemented for the pre-processing step. The method combines both slice normalization and lung segmentation in a...
Chapter
‘KnowSeq’ R Package includes all the essential tools to carry out transcriptomic analysis, providing intuitive functions to build efficient and robust pipelines. In this paper, its capacities are demonstrated in a practical COVID-19 biomarkers detection problem using RNA-Sequencing data. Through Machine Learning techniques such as feature selection...
Chapter
Lung cancer is one of the most frequent cancer types, and one among those causing more deceases worldwide. Nowadays, in order to improve the diagnosis of cancer more screenings are performed to the same patient and various biological sources are being gathered. Fusing the information provided by these sources can lead to a more robust diagnosis, wh...
Article
Full-text available
Background Adenocarcinoma and squamous cell carcinoma are the two most prevalent lung cancer types, and their distinction requires different screenings, such as the visual inspection of histology slides by an expert pathologist, the analysis of gene expression or computer tomography scans, among others. In recent years, there has been an increasing...
Article
Full-text available
One of the most captivating problems being faced nowadays in Physics are ultra-high energy cosmic rays. They are high-energy radiations coming mainly from outside the Solar System, and when they enter Earth’s atmosphere, they produce a cascade of particles. This cascade of particles, named as extensive air shower, can be recorded by means of photom...
Article
Full-text available
KnowSeq R/Bioc package is designed as a powerful, scalable and modular software focused on automatizing and assembling renowned bioinformatic tools with new features and functionalities. It comprises a unified environment to perform complex gene expression analyses, covering all the needed processing steps to identify a gene signature for a specifi...
Article
Objective To evaluate the influence of neutral color backgrounds on the perception of color differences in dentistry. Methods A software was developed for this study that calculated the perceptibility (PT) and acceptability (AT) thresholds of color differences between a pair of computer-simulated incisor samples (n = 60 pairs) over three neutral c...
Article
Full-text available
e novel coronavirus, SARS-CoV-2, can be deadly to people, causing COVID-19. e ease of its propagation, coupled with its high capacity for illness and death in infected individuals, makes it a hazard to the community. Chest X-rays are one of the most common but most difficult to interpret radiographic examination for early diagnosis of coronavirus-r...
Book
This book constitutes the refereed proceedings of the First International Conference on Bioengineering and Biomedical Signal and Image Processing, BIOMESIP 2021, held in Meloneras, Gran Canaria, Spain, in July 2021. The 41 full and 5 short papers were carefully reviewed and selected from 121 submissions. The papers are grouped in topical issues on...
Patent
Full-text available
The present invention is within the fields of Medicine, Pharmacology, Chemistry, Biochemistry, Biotechnology, and refers to different panels of metabolites present in capable serum to differentiate between healthy patients and those with pancreatic cancer (PC). The invention has application in the clinical diagnosis of pathology such as is the PC.
Chapter
This work reviews the challenge of power consumption prediction, approaching both short-term and long-term prediction problems using neural networks. A number of improvements are introduced for both problems using two types of neural nets. For short-term prediction, a modified LSTM network based on direct prediction of four hours horizon is present...
Article
Full-text available
The main goal of this work is to adapt a Physics problem to the Machine Learning (ML) domain and to compare several techniques to solve it. The problem consists of how to perform muon count from the signal registered by particle detectors which record a mix of electromagnetic and muonic signals. Finding a good solution could be a building block on...
Article
Purpose The aim of this research is to assess the influence of the underlying service quality variable, usually related to university students' perception of the educational experience. Another aspect analysed in this work is the development of a procedure to determine which variables are more significant to assess students' satisfaction. Design/m...
Article
Objective: To evaluate the influence of neutral color backgrounds on visual thresholds using three color difference metrics: CIELAB, CIEDE2000(1:1:1) and CIEDE2000(2:1:1). Methods: Sixty observers (dentists and laypersons; n = 30) from three countries participated in the study. A psychophysical experiment based on visual assessments of simulated...
Article
Electric vehicles stand out for their ability to reduce pollution. However, electric vehicle sales have not been brisk despite their positive effects. The objective of this study is twofold: first, to determine the variables that predict the purchase of an electric vehicle from the implementation of an algorithm based on computational intelligence;...
Article
Full-text available
The study of cosmic rays remains as one of the most challenging research fields in Physics. From the many questions still open in this area, knowledge of the type of primary for each event remains as one of the most important issues. All of the cosmic rays observatories have been trying to solve this question for at least six decades, but have not...
Article
Full-text available
The aim of this paper is to study the possibility of improving the gamma/hadron discrimination in extensive air showers. For this purpose, the identification of hadronic extensive air showers is carried out by means of the detection of muons in water Cherenkov detectors (WCDs). Machine learning algorithms have proven to be useful in a wide variety...
Conference Paper
The integration of different sources of information for proper classification is of utter importance, specially in the biomedical field. Many different sources of information can be collected from a patient and they all may contribute to an accurate diagnosis. For example in cancer disease these can include gene expression (RNA-Seq) or Tissue Slide...
Chapter
Computational intelligence has challenged the scientific frontiers of all sciences. Artificial intelligence (AI) has been applied to many areas of medical and dental sciences, including color sciences. Understanding neural networks and machine learning (ML) techniques will assist future developments on problem solving and color sciences in Dentistr...
Chapter
Instruments used for objective color measurements in Dentistry were introduced to fit the needs of dental clinicians, mainly providing information on the corresponding shade tab or color determination. Instrumental shade determination can help to overcome some shortcomings of the classic visual shade-matching method by bringing accuracy, reliabilit...
Book
This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time Series and Forecasting (ITISE 2019), held in Granada, Spain, on September 25-27, 2019. The first two parts of the book present theoretical contributions on statistical and advanced mathemati...
Article
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Many clinical studies have revealed the high biological similarities existing among different skin pathological states. These similarities create difficulties in the efficient diagnosis of skin cancer, and encourage to study and design new intelligent clinical decision support systems. In this sense, gene expression analysis can help find different...
Article
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Aim of study: Developing models to determine soluble solids content (SSC) in cherry trees by means of Vis/NIR spectroscopy. Area of study: The Spanish Autonomous Community of Aragón (Spain). Material and methods: Vis/NIR spectroscopy was applied to Prunus avium fruit ‘Chelan’ (n=360) to predict total SSC using a range 400-2420 nm. Linear (PLS) an...
Preprint
Full-text available
The number of gene expression analyses has grown exponentially over the last years. The main triggers of this increase are the reduction in the sequencing cost per sample and the technological advances, specially in the computing scope. Those analyses generally involve a number of steps. Firstly, a raw samples alignment and a quality analysis are n...
Chapter
The study of cosmic rays remains as one of the most challenging research fields in Physics. There are several reasons why it is a hot topic as it can reveal information on Galaxy life-cycle and the mystery of how these rays arrive to the Earth with such high energy values (beyond 10\(^{20}\) eV). The work presented in this paper tries to answer a f...
Chapter
Full-text available
Machine learning algorithms have shown their usefulness in a countless variety of fields. Specifically in the astrophysics field, these algorithms have helped the acceleration of our understanding of the Universe and the interaction between particles in recent years. Deep learning algorithms, enclosed in machine learning field, are showing outstand...
Chapter
The automatic recognition of physical activities typically involves various signal processing and machine learning steps used to transform raw sensor data into activity labels. One crucial step has to do with the segmentation or windowing of the sensor data stream, as it has clear implications on the eventual accuracy level of the activity recognis...
Conference Paper
The main goal of this study is the identification of a robust set of genes having the capability of discerning among the different sub-types of lung cancer: Small Cell Lung Carcinoma (SCLC), Adenocarcinoma (ACC), Squamous Cell Carcinoma (SCC) and Large Cell Lung Carcinoma (LCLC). To achieve this goal, an overall differentially expressed genes analy...
Article
Full-text available
In more recent years, a significant increase in the number of available biological experiments has taken place due to the widespread use of massive sequencing data. Furthermore , the continuous developments in the machine learning and in the high performance computing areas, are allowing a faster and more efficient analysis and processing of this t...
Article
Full-text available
Objective: To determine the visual whiteness thresholds for esthetic dentistry using the whiteness index for dentistry based on CIELAB color space (WID). Methods: A total of 60 observers (Dentists and Laypersons; n=30) from three research sites participated in the study. A psychophysical experiment based on visual assessments of simulated images...
Article
Objective: To determine the translucency acceptability and perceptibility thresholds for dental resin composites using CIEDE2000 and CIELAB color difference formulas. Methods: A 30-observer panel performed perceptibility and acceptability judgments on 50 pairs of resin composites discs (diameter: 10mm; thickness: 1mm). Disc pair differences for...
Article
Full-text available
Most of the research studies developed applying microarray technology to the characterization of different pathological states of any disease may fail in reaching statistically significant results. This is largely due to the small repertoire of analysed samples, and to the limitation in the number of states or pathologies usually addressed. Moreove...
Data
Distribution of samples regarding the seven cancer-related skin states. This appendix shows the quantity of samples of each cancer-related skin state. Concretely, a table is presented where each microarray series next to high quality samples from each of them is specified. (PDF)
Data
Biological interpretation of the 17 DEGs. This appendix shows detailed information about the systematic search and analysis in the scientific literature that has been published about the biological relationship of the 17 genes selected in this study, with skin and other types of cancer. (PDF)
Data
Detailed ANOVA test analysis. This appendix analyses and shows the full results of the performed ANOVA statistical test. This test has been carried out with the aim of determining the influence of various external and intrinsic factors on the quantification of the differentially expressed genes, when different microarray platforms and technologies...
Conference Paper
Full-text available
Alzheimer is one of the diseases that affect the most to the elderly in the whole world. The cure is unknown, so an early diagnosis is very important in order to make improvements in the patient's life. With this disease we have the problem that an early diagnosis is really complicated, adding the fact that it could be difficult to distinguish it a...
Article
Objective To design colorimetric and spectral models of gingival shade guides that adequately represent the color of human gingiva. Materials and Methods A previously compiled database on the spectral reflectance of healthy keratinized gingiva was used for optimization. Coverage Error (CE) and Maximal Error (ME) were optimized using CIELAB and CIE...
Article
Objective: To determine 50:50% perceptibility threshold (PT) and 50:50% acceptability threshold (AT) for computer-simulated samples of human gingiva using CIEDE2000 and CIELAB color difference formulas. Materials and methods: Each of the 60 pairs of simulated human gingiva was displayed on a calibrated monitor, together with three pairs of upper...
Article
Full-text available
Background Nowadays, many public repositories containing large microarray gene expression datasets are available. However, the problem lies in the fact that microarray technology are less powerful and accurate than more recent Next Generation Sequencing technologies, such as RNA-Seq. In any case, information from microarrays is truthful and robust,...
Conference Paper
Full-text available
Unwholesome lifestyles can reduce lifespan by several years or even decades. Therefore, raising awareness and promoting healthier behaviors prove essential to revert this dramatic panorama. Virtual coaching systems are at the forefront of digital solutions to educate people and procure a more effective health self-management. Despite their increasi...
Conference Paper
Almost all of the studies in the literature of sleep stage classification are based on traditional statistical learning techniques from a set of extracted features, which need a relative amount of time and effort. Deep learning offers approaches able to automatically extract patterns and abstractions from different types of data (images, sound, bio...
Conference Paper
Although Next-Generation Sequencing (NGS) has more impact nowadays than microarray sequencing, there is a huge volume of microarray data that has not still been processed. The last represents the most important source of biological information nowadays due largely to its use over many years, and a very important potential source of genetic knowledg...
Conference Paper
Full-text available
Smart coaching systems are named to play a central role in both prevention and intervention strategies for behavioral change. While relevant progresses have been made in terms of automatic and continuous monitoring of behavioral aspects, e.g. amount and variety of physical activity, coaching and feedback techniques are still in an infancy stage. Cu...
Conference Paper
Polysomnography analysis for sleeping disorders is a discipline that is showing interest in the development of reliable classifiers to determine the sleep stage. The most common methods shown in the literature bet for classical learning techniques and statistics that are applied to a reduced number of features in order to tackle the computational l...
Article
The rapid growth of social networks has led many companies to use mobile payment systems as business sales tools. As these platforms have an increasing acceptance among consumers, the main goal of this research is to analyze the individuals' use intention of these systems in a social network environment. The data used were collected after performin...
Article
Full-text available
Objectives: To develop a customized CIELAB-based whiteness index for dentistry that accurately correlates to perception of tooth whiteness. Methods: Four psychophysical experiments (PE1-4) were conducted by three panels of observers (OP1-3) under diffuse/0° observation/measuring conditions and under typical clinical viewing conditions. Nine whit...
Article
Full-text available
The aim of this study is to compile a comprehensive database on color range and color distribution of healthy human gingiva by age, gender and ethnicity. Spectral reflection of keratinized gingiva at upper central incisors was measured by spectroradiometer and converted into CIELAB values. Lightness range (ΔL*) for all groups together was 26.8. Cor...
Conference Paper
Full-text available
There exist multiple activity recognition solutions offering good results under controlled conditions. However, little attention has been given to the development of functional systems operating in realistic settings. In that vein, this work aims at presenting the complete process for the design, implementation and evaluation of a real-time activit...
Article
The rapid growth of social networks has led many companies to use mobile payment systems as business sales tools. As these platforms have an increasing acceptance among the consumers, the main goal of this research is to analyze the individuals’ use intention of these systems in a social network environment. The data used were collected after perfo...
Article
Full-text available
Being able to estimate (predict) the final spectrum of reflectance of a biomaterial, especially when the final color and appearance are fundamental for their clinical success (as is the case of dental resin composites), could be a very useful tool for the industrial development of these type of materials. The main objective of this study was the de...
Conference Paper
Full-text available
As machine learning becomes more popular in all fields, its use is well known in finance and economics. The growing number of people using models to predict the market’s behaviour can modify the market itself so it is more predictable. In this context, the key element is to find out which variables are used to build the model in a macroeconomic env...
Conference Paper
Full-text available
The rapid growth social networks have led many companies to use mobile payment systems as business sales tools. As these platforms have an increasing acceptance among the consumers, the main goal of this research is to analyze the individuals’ use intention of these systems in a social network environment. The problem of variable selection arises i...