VIAF

Virtual International Authority File

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Leader 00000nz a2200037n 45 0
001 WKP|Q104108234 (VIAF cluster) (Authority/Source Record)
003 WKP
005 20241020233101.0
008 241020nneanz||abbn n and d
035 ‎‡a (WKP)Q104108234‏
024 ‎‡a 0000-0003-0974-4092‏ ‎‡2 orcid‏
035 ‎‡a (OCoLC)Q104108234‏
100 0 ‎‡a Francisco Carrillo-Perez‏ ‎‡9 ca‏
400 0 ‎‡a Francisco Carrillo-Perez‏ ‎‡c researcher ORCID 0000-0003-0974-4092‏ ‎‡9 en‏
400 0 ‎‡a Francisco Carrillo-Perez‏ ‎‡c investigador‏ ‎‡9 es‏
400 0 ‎‡a Francisco Carrillo‏ ‎‡c onderzoeker‏ ‎‡9 nl‏
670 ‎‡a Author's A deep-learning algorithm to classify skin lesions from mpox virus infection‏
670 ‎‡a Author's A Novel Automated Algorithm for Computing Lumbar Flexion Test Ratios Enhancing Athletes Objective Assessment of Low Back Pain‏
670 ‎‡a Author's Color, lightness, chroma, hue, and translucency adjustment potential of resin composites using CIEDE2000 color difference formula‏
670 ‎‡a Author's Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer‏
670 ‎‡a Author's Composition Classification of Ultra-High Energy Cosmic Rays‏
670 ‎‡a Author's Comprehensive Pan-cancer Gene Signature Assessment through the Implementation of a Cascade Machine Learning System‏
670 ‎‡a Author's Correction: Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection‏
670 ‎‡a Author's COVID-19 Detection Method from Chest CT Scans via the Fusion of Slice Information and Lung Segmentation‏
670 ‎‡a Author's Data from Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏
670 ‎‡a Author's Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals‏
670 ‎‡a Author's Does background color influence visual thresholds?‏
670 ‎‡a Author's Enhancing Breast Cancer Classification via Information and Multi-model Integration‏
670 ‎‡a Author's Ensemble Models for Covid Prediction in X-Ray Images‏
670 ‎‡a Author's Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN‏
670 ‎‡a Author's KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge‏
670 ‎‡a Author's Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis‏
670 ‎‡a Author's Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion‏
670 ‎‡a Author's Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection‏
670 ‎‡a Author's RNA-to-image multi-cancer synthesis using cascaded diffusion models‏
670 ‎‡a Author's SnapperML: A Python -based framework to improve machine learning operations‏
670 ‎‡a Author's Spatial cellular architecture predicts prognosis in glioblastoma‏
670 ‎‡a Author's Suppl. Data 1 from Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏
670 ‎‡a Author's Suppl Data 2 from Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏
670 ‎‡a Author's Supplementary Figures, Tables, Notes from Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏
670 ‎‡a Author's Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models‏
670 ‎‡a Author's Towards Digital Quantification of Ploidy from Pan-Cancer Digital Pathology Slides using Deep Learning‏
670 ‎‡a Author's Validation of mDurance, A Wearable Surface Electromyography System for Muscle Activity Assessment‏
670 ‎‡a Author's Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏
909 ‎‡a (orcid) 0000000309744092‏ ‎‡9 1‏
919 ‎‡a deeplearningalgorithmtoclassifyskinlesionsfrommpoxvirusinfection‏ ‎‡A A deep-learning algorithm to classify skin lesions from mpox virus infection‏ ‎‡9 1‏
919 ‎‡a novelautomatedalgorithmforcomputinglumbarflexiontestratiosenhancingathletesobjectiveassessmentoflowbackpain‏ ‎‡A A Novel Automated Algorithm for Computing Lumbar Flexion Test Ratios Enhancing Athletes Objective Assessment of Low Back Pain‏ ‎‡9 1‏
919 ‎‡a colorlightnesschromahueandtranslucencyadjustmentpotentialofresincompositesusingciede2000colordifferenceformula‏ ‎‡A Color, lightness, chroma, hue, and translucency adjustment potential of resin composites using CIEDE2000 color difference formula‏ ‎‡9 1‏
919 ‎‡a comparisonoffusionmethodologiesusingcnvandrnaseqforcancerclassificationacasestudyonnonsmallcelllungcancer‏ ‎‡A Comparison of Fusion Methodologies Using CNV and RNA-Seq for Cancer Classification: A Case Study on Non-Small-Cell Lung Cancer‏ ‎‡9 1‏
919 ‎‡a compositionclassificationofultrahighenergycosmicrays‏ ‎‡A Composition Classification of Ultra-High Energy Cosmic Rays‏ ‎‡9 1‏
919 ‎‡a comprehensivepancancergenesignatureassessmentthroughtheimplementationofacascademachinelearningsystem‏ ‎‡A Comprehensive Pan-cancer Gene Signature Assessment through the Implementation of a Cascade Machine Learning System‏ ‎‡9 1‏
919 ‎‡a correctionperformancecomparisonbetweenmulticenterhistopathologydatasetsofaweaklysuperviseddeeplearningmodelforpancreaticductaladenocarcinomadetection‏ ‎‡A Correction: Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection‏ ‎‡9 1‏
919 ‎‡a covid19detectionmethodfromchestctscansviathefusionofsliceinformationandlungsegmentation‏ ‎‡A COVID-19 Detection Method from Chest CT Scans via the Fusion of Slice Information and Lung Segmentation‏ ‎‡9 1‏
919 ‎‡a datafromwholeslideimagingbasedpredictionoftp53mutationsidentifiesanaggressivediseasephenotypeinprostatecancer‏ ‎‡A Data from Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏ ‎‡9 1‏
919 ‎‡a deeplearningtoclassifyultrahighenergycosmicraysbymeansofpmtsignals‏ ‎‡A Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals‏ ‎‡9 1‏
919 ‎‡a doesbackgroundcolorinfluencevisualthresholds‏ ‎‡A Does background color influence visual thresholds?‏ ‎‡9 1‏
919 ‎‡a enhancingbreastcancerclassificationviainformationandmultimodelintegration‏ ‎‡A Enhancing Breast Cancer Classification via Information and Multi-model Integration‏ ‎‡9 1‏
919 ‎‡a ensemblemodelsforcovidpredictionin10rayimages‏ ‎‡A Ensemble Models for Covid Prediction in X-Ray Images‏ ‎‡9 1‏
919 ‎‡a improvingclassificationofultrahighenergycosmicraysusingspaciallocalitybymeansofaconvolutionaldnn‏ ‎‡A Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN‏ ‎‡9 1‏
919 ‎‡a knowseqrbiocpackagetheautomaticsmartgeneexpressiontoolforretrievingrelevantbiologicalknowledge‏ ‎‡A KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge‏ ‎‡9 1‏
919 ‎‡a machinelearningbasedlatefusiononmultiomicsandmultiscaledatafornonsmallcelllungcancerdiagnosis‏ ‎‡A Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis‏ ‎‡9 1‏
919 ‎‡a nonsmallcelllungcancerclassificationviarnaseqandhistologyimagingprobabilityfusion‏ ‎‡A Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion‏ ‎‡9 1‏
919 ‎‡a performancecomparisonbetweenmulticenterhistopathologydatasetsofaweaklysuperviseddeeplearningmodelforpancreaticductaladenocarcinomadetection‏ ‎‡A Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection‏ ‎‡9 1‏
919 ‎‡a rnatoimagemulticancersynthesisusingcascadeddiffusionmodels‏ ‎‡A RNA-to-image multi-cancer synthesis using cascaded diffusion models‏ ‎‡9 1‏
919 ‎‡a snappermla Python basedframeworktoimprovemachinelearningoperations‏ ‎‡A SnapperML: A Python -based framework to improve machine learning operations‏ ‎‡9 1‏
919 ‎‡a spatialcellulararchitecturepredictsprognosisinglioblastoma‏ ‎‡A Spatial cellular architecture predicts prognosis in glioblastoma‏ ‎‡9 1‏
919 ‎‡a suppldata1fromwholeslideimagingbasedpredictionoftp53mutationsidentifiesanaggressivediseasephenotypeinprostatecancer‏ ‎‡A Suppl. Data 1 from Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏ ‎‡9 1‏
919 ‎‡a suppldata2fromwholeslideimagingbasedpredictionoftp53mutationsidentifiesanaggressivediseasephenotypeinprostatecancer‏ ‎‡A Suppl Data 2 from Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏ ‎‡9 1‏
919 ‎‡a supplementaryfigurestablesnotesfromwholeslideimagingbasedpredictionoftp53mutationsidentifiesanaggressivediseasephenotypeinprostatecancer‏ ‎‡A Supplementary Figures, Tables, Notes from Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏ ‎‡9 1‏
919 ‎‡a syntheticwholeslideimagetilegenerationwithgeneexpressionprofileinfuseddeepgenerativemodels‏ ‎‡A Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models‏ ‎‡9 1‏
919 ‎‡a towardsdigitalquantificationofploidyfrompancancerdigitalpathologyslidesusingdeeplearning‏ ‎‡A Towards Digital Quantification of Ploidy from Pan-Cancer Digital Pathology Slides using Deep Learning‏ ‎‡9 1‏
919 ‎‡a validationofmduranceawearablesurfaceelectromyographysystemformuscleactivityassessment‏ ‎‡A Validation of mDurance, A Wearable Surface Electromyography System for Muscle Activity Assessment‏ ‎‡9 1‏
919 ‎‡a wholeslideimagingbasedpredictionoftp53mutationsidentifiesanaggressivediseasephenotypeinprostatecancer‏ ‎‡A Whole Slide Imaging-Based Prediction of TP53 Mutations Identifies an Aggressive Disease Phenotype in Prostate Cancer‏ ‎‡9 1‏
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