Publicaciones en las que colabora con FRANCISCO CARRILLO PÉREZ (22)

2023

  1. Comprehensive Pan-cancer Gene Signature Assessment through the Implementation of a Cascade Machine Learning System

    Current Bioinformatics, Vol. 18, Núm. 1, pp. 40-54

  2. 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

  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. 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)

  5. Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models

    Cell Reports Methods, Vol. 3, Núm. 8

2022

  1. Applications of artificial intelligence in dentistry: A comprehensive review

    Journal of Esthetic and Restorative Dentistry, Vol. 34, Núm. 1, pp. 259-280

  2. CIEDE2000 lightness, chroma and hue human gingiva thresholds

    Journal of Dentistry, Vol. 124

  3. 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

2021

  1. COVID-19 Detection Method from Chest CT Scans via the Fusion of Slice Information and Lung Segmentation

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

  2. Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer

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

  3. Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals

    Neural Computing and Applications, Vol. 33, Núm. 15, pp. 9153-9169

  4. Ensemble Models for Covid Prediction in X-Ray Images

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

  5. Influence of background color on color perception in dentistry

    Journal of Dentistry, Vol. 108

  6. KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge

    Computers in Biology and Medicine, Vol. 133

  7. Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion

    BMC Bioinformatics, Vol. 22, Núm. 1

2020

  1. Composition classification of ultra-high energy cosmic rays

    Entropy, Vol. 22, Núm. 9

  2. Does background color influence visual thresholds?

    Journal of Dentistry, Vol. 102

  3. Enhancing Breast Cancer Classification via Information and Multi-model Integration

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

  4. Future developments using artificial intelligence (AI) in dentistry

    Color and Appearance in Dentistry (Springer International Publishing), pp. 135-142

2019

  1. Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN

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