Publicacións nas que colabora con DANIEL GONZALEZ PEÑA (54)

2023

  1. Negative Samples for Improving Object Detection—A Case Study in AI-Assisted Colonoscopy for Polyp Detection

    Diagnostics, Vol. 13, Núm. 5

  2. PanDrugs2: Prioritizing cancer therapies using integrated individual multi-omics data

    Nucleic Acids Research, Vol. 51, Núm. W1, pp. W411-W418

2022

  1. Enhancing sepsis management through machine learning techniques: A review

    Medicina Intensiva, Vol. 46, Núm. 3, pp. 140-156

  2. Performance of Convolutional Neural Networks for Polyp Localization on Public Colonoscopy Image Datasets

    Diagnostics, Vol. 12, Núm. 4

  3. Real-time polyp detection model using convolutional neural networks

    Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10375-10396

2021

  1. Compi Hub: A Public Repository for Sharing and Discovering Compi Pipelines

    Advances in Intelligent Systems and Computing

  2. Compi: A framework for portable and reproducible pipelines

    PeerJ Computer Science, Vol. 7, pp. 1-21

  3. DREIMT: a drug repositioning database and prioritization tool for immunomodulation

    Bioinformatics (Oxford, England), Vol. 37, Núm. 4, pp. 578-579

  4. Deep Neural Networks approaches for detecting and classifying colorectal polyps

    Neurocomputing, Vol. 423, pp. 721-734

2020

  1. An RNA-seq Based Machine Learning Approach Identifies Latent Tuberculosis Patients With an Active Tuberculosis Profile

    Frontiers in Immunology, Vol. 11

  2. CHAPTER 5: Statistics, Data Mining and Modeling

    New Developments in Mass Spectrometry (Royal Society of Chemistry), pp. 120-200

  3. Compi Hub: A Public Repository for Sharing and Discovering Compi Pipelines

    Practical Applications of Computational Biology & Bioinformatics: 14th International Conference (PACBB 2020)

2018

  1. GC4S: A bioinformatics-oriented Java software library of reusable graphical user interface components

    PLoS ONE, Vol. 13, Núm. 9

  2. PanDrugs: A novel method to prioritize anticancer drug treatments according to individual genomic data

    Genome Medicine, Vol. 10, Núm. 1

  3. S2P: A software tool to quickly carry out reproducible biomedical research projects involving 2D-gel and MALDI-TOF MS protein data

    Computer Methods and Programs in Biomedicine, Vol. 155, pp. 1-9

2017

  1. LA-iMageS: unha ferramenta para a análise e a xeración de bioimaxes mediante ablación láser con fonte de acoplamento indutivo

    Proxectos INOU 2016: investigación aplicada na provincia de Ourense (Universidade de Vigo), pp. 111-127

  2. S2P: A Desktop Application for Fast and Easy Processing of 2D-Gel and MALDI-Based Mass Spectrometry Protein Data

    11th International Conference on Practical Applications of Computational Biology & Bioinformatics (Springer Suiza), pp. 1-8

  3. S2P: A desktop application for fast and easy processing of 2D-gel and MALDI-based mass spectrometry protein data

    Advances in Intelligent Systems and Computing

2016

  1. Entorno de integración continua para la docencia práctica de Java EE

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 1

  2. Implementing effective machine learning-based workflows for the analysis of mass spectrometry data

    Journal of Integrated OMICS, Vol. 6, Núm. 1, pp. 23-27