Publicaciones en colaboración con investigadores/as de Hospital Universitario San Cecilio (32)

2024

  1. Identification of novel biomarkers in the early diagnosis of malignant melanoma by untargeted liquid chromatography coupled to high-resolution mass spectrometry-based metabolomics: a pilot study

    British Journal of Dermatology, Vol. 190, Núm. 5, pp. 740-750

2023

  1. Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset

    Artificial Intelligence in Medicine, Vol. 145

  2. Human adipose tissue as a major reservoir of cytomegalovirus-reactive T cells

    Frontiers in Immunology, Vol. 14

2022

  1. Acceleration of the DNA methylation clock among lynch syndrome-associated mutation carriers

    BMC medical genomics, Vol. 15, Núm. 1, pp. 45

  2. Artificial intelligence for the triage of COVID-19 patients at the emergency department: a systematic review

    Signa Vitae, Vol. 18, Núm. 6, pp. 17-26

  3. Prevalence and Risk Factors Associated with Tumors and Other Structural Anomalies in Brain MRI Performed to Rule out Secondary Headache: A Multicenter Observational Study

    International Journal of Environmental Research and Public Health, Vol. 19, Núm. 6

2021

  1. Blind color deconvolution, normalization, and classification of histological images using general super Gaussian priors and Bayesian inference

    Computer Methods and Programs in Biomedicine, Vol. 211

  2. Endothelin-1 as a mediator of heme oxygenase-1-induced stemness in colorectal cancer: Influence of p53

    Journal of Personalized Medicine, Vol. 11, Núm. 6

  3. Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study

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

  4. Slicer: feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

2020

  1. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 12, pp. 3595-3605

  2. Uncovering tumour heterogeneity through PKR and nc886 analysis in metastatic colon cancer patients treated with 5-FU-based chemotherapy

    Cancers, Vol. 12, Núm. 2

2019

  1. A Fast Pyramidal Bayesian Model for Mitosis Detection in Whole-Slide Images

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

  2. Improvement of Mitosis Detection Through the Combination of PHH3 and HE Features

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

2016

  1. Melatonin rescues zebrafish embryos from the parkinsonian phenotype restoring the parkin/PINK1/DJ-1/MUL1 network

    Journal of Pineal Research, pp. 96-107

  2. Permeabilized myocardial fibers as model to detect mitochondrial dysfunction during sepsis and melatonin effects without disruption of mitochondrial network

    Mitochondrion, Vol. 27, pp. 56-63

  3. Same molecule but different expression: Aging and sepsis trigger NLRP3 inflammasome activation, a target of melatonin

    Journal of Pineal Research, Vol. 60, Núm. 2, pp. 193-205

2015

  1. Cluster-based comparison of the peptide mass fingerprint obtained by MALDI-TOF mass spectrometry. A case study: Long-term stability of rituximab

    Analyst, Vol. 140, Núm. 5, pp. 1717-1730

  2. Disruption of the NF-κB/NLRP3 connection by melatonin requires retinoid-related orphan receptor-a and blocks the septic response in mice

    FASEB Journal, Vol. 29, Núm. 9, pp. 3863-3875

  3. Identification of mitochondrial deficits and melatonin targets in liver of septic mice by high-resolution respirometry

    Life Sciences, Vol. 121, pp. 158-165