Publicaciones en las que colabora con IGNACIO ROJAS RUIZ (135)

2024

  1. Gene Expression Analysis for Uterine Cervix and Corpus Cancer Characterization †

    Genes, Vol. 15, Núm. 3

  2. Novel methodology for detecting and localizing cancer area in histopathological images based on overlapping patches

    Computers in Biology and Medicine, Vol. 168

2023

  1. Correction: Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection (Cancer Imaging, (2023), 23, 1, (66), 10.1186/s40644-023-00586-3)

    Cancer Imaging

  2. New Developments in Time Series and Forecasting, ITISE-2023 †

    Engineering Proceedings

  3. Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection

    Cancer Imaging, Vol. 23, Núm. 1

  4. Predicting COVID-19 Severity Integrating RNA-Seq Data Using Machine Learning Techniques

    Current Bioinformatics, Vol. 18, Núm. 3, pp. 221-231

  5. Preface

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

  6. Preface

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

  7. Speeding up Simulations for Radiotherapy Research by Means of Machine Learning

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

  8. Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure

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

  9. Uterine Cervix and Corpus Cancers Characterization Through Gene Expression Analysis Using the KnowSeq Tool

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

2022

  1. COVID-19 Biomarkers Recognition & Classification Using Intelligent Systems

    Current Bioinformatics, Vol. 17, Núm. 5, pp. 426-439

  2. COVID-19 Severity Classification Using a Hierarchical Classification Deep Learning Model

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

  3. Determination of the Severity and Percentage of COVID-19 Infection through a Hierarchical Deep Learning System

    Journal of Personalized Medicine, Vol. 12, Núm. 4

  4. Gene Expression Tools from a Technical Perspective: Current Approaches and Alternative Solutions for the KnowSeq Suite

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

  5. Heterogeneous Gene Expression Cross-evaluation of Robust Biomarkers Using Machine Learning Techniques Applied to Lung Cancer

    Current Bioinformatics, Vol. 17, Núm. 2, pp. 150-163

  6. Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis

    Journal of Personalized Medicine, Vol. 12, Núm. 4

  7. Preface

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

  8. Preface

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

  9. Statement of Peer Review †

    Engineering Proceedings