INGENIERÍA DE COMPUTADORES, AUTOMÁTICA Y ROBÓTICA
DEPARTAMENTO
FRANCISCO
CARRILLO PÉREZ
Investigador en el periodo 2020-2023
Publicaciones en las que colabora con FRANCISCO CARRILLO PÉREZ (25)
2024
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SnapperML: A python-based framework to improve machine learning operations
SoftwareX, Vol. 26
2023
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Comprehensive Pan-cancer Gene Signature Assessment through the Implementation of a Cascade Machine Learning System
Current Bioinformatics, Vol. 18, Núm. 1, pp. 40-54
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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
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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
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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)
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Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models
Cell Reports Methods, Vol. 3, Núm. 8
2022
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Applications of artificial intelligence in dentistry: A comprehensive review
Journal of Esthetic and Restorative Dentistry, Vol. 34, Núm. 1, pp. 259-280
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CIEDE2000 lightness, chroma and hue human gingiva thresholds
Journal of Dentistry, Vol. 124
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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
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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)
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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)
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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
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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)
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Influence of background color on color perception in dentistry
Journal of Dentistry, Vol. 108
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KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge
Computers in Biology and Medicine, Vol. 133
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Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion
BMC Bioinformatics, Vol. 22, Núm. 1
2020
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Composition classification of ultra-high energy cosmic rays
Entropy, Vol. 22, Núm. 9
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Does background color influence visual thresholds?
Journal of Dentistry, Vol. 102
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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)
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Future developments using artificial intelligence (AI) in dentistry
Color and Appearance in Dentistry (Springer International Publishing), pp. 135-142