FRANCISCO
CARRILLO PÉREZ
Investigador en el periodo 2020-2023
Stanford University School of Medicine
Stanford, Estados UnidosPublicaciones en colaboración con investigadores/as de Stanford University School of Medicine (10)
2024
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A 3D lung lesion variational autoencoder
Cell Reports Methods, Vol. 4, Núm. 2
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Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models
Nature Biomedical Engineering
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SnapperML: A python-based framework to improve machine learning operations
SoftwareX, Vol. 26
2023
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A deep-learning algorithm to classify skin lesions from mpox virus infection
Nature Medicine, Vol. 29, Núm. 3, pp. 738-747
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Imaging genomics: data fusion in uncovering disease heritability
Trends in Molecular Medicine, Vol. 29, Núm. 2, pp. 141-151
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Spatial cellular architecture predicts prognosis in glioblastoma
Nature Communications, Vol. 14, Núm. 1
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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
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Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer
Cancer Research, Vol. 83, Núm. 17, pp. 2970-2984
2022
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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