VIAF

Virtual International Authority File

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Leader 00000nz a2200037n 45 0
001 WKP|Q88208263 (VIAF cluster) (Authority/Source Record)
003 WKP
005 20241221010739.0
008 241221nneanz||abbn n and d
035 ‎‡a (WKP)Q88208263‏
024 ‎‡a 0000-0002-7898-8456‏ ‎‡2 orcid‏
035 ‎‡a (OCoLC)Q88208263‏
100 0 ‎‡a Lawrence O. Hall‏ ‎‡c researcher‏ ‎‡9 en‏
400 0 ‎‡a Lawrence O. Hall‏ ‎‡c wetenschapper‏ ‎‡9 nl‏
670 ‎‡a Author's Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification‏
670 ‎‡a Author's Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data‏
670 ‎‡a Author's Predicting malignant nodules by fusing deep features with classical radiomics features‏
670 ‎‡a Author's Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.‏
670 ‎‡a Author's Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness‏
909 ‎‡a (orcid) 0000000278988456‏ ‎‡9 1‏
919 ‎‡a discoveryofageneralizationgapofconvolutionalneuralnetworksoncovid1910raysclassification‏ ‎‡A Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification‏ ‎‡9 1‏
919 ‎‡a radiomicsinbraintumorimageassessmentquantitativefeaturedescriptorsandmachinelearningapproaches‏ ‎‡A Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.‏ ‎‡9 1‏
919 ‎‡a predictingmalignantnodulesbyfusingdeepfeatureswithclassicalradiomicsfeatures‏ ‎‡A Predicting malignant nodules by fusing deep features with classical radiomics features‏ ‎‡9 1‏
919 ‎‡a hybridmodelsforlungnodulemalignancypredictionutilizingconvolutionalneuralnetworkensemblesandclinicaldata‏ ‎‡A Hybrid models for lung nodule malignancy prediction utilizing convolutional neural network ensembles and clinical data‏ ‎‡9 1‏
919 ‎‡a revealingtumorhabitatsfromtextureheterogeneityanalysisforclassificationoflungcancermalignancyandaggressiveness‏ ‎‡A Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness‏ ‎‡9 1‏
996 ‎‡2 BIBSYS|90062000
996 ‎‡2 LC|n 2011082167
996 ‎‡2 LC|no 98108087
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996 ‎‡2 LC|nb2015019259
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996 ‎‡2 LC|no2010030593
996 ‎‡2 LC|n 86074188
996 ‎‡2 LC|n 86013969
996 ‎‡2 CAOONL|ncf11448122
996 ‎‡2 LC|n 2007005430
996 ‎‡2 B2Q|0000426064
996 ‎‡2 NDL|032248364
996 ‎‡2 CAOONL|ncf11071608
996 ‎‡2 LC|n 2014191178
996 ‎‡2 ISNI|0000000063920788
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996 ‎‡2 LC|n 99280141
996 ‎‡2 LC|no2023000988
996 ‎‡2 LC|n 50017942
996 ‎‡2 LC|n 00039700
996 ‎‡2 LIH|LNB:C_n__p__v_;=C_h_
996 ‎‡2 LC|n 83066695
996 ‎‡2 ISNI|0000000041150671
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996 ‎‡2 PLWABN|9810596439305606
996 ‎‡2 NII|DA14818383
996 ‎‡2 NTA|436111241
996 ‎‡2 LC|n 91060793
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996 ‎‡2 SUDOC|257978879
996 ‎‡2 NUKAT|n 2014083304
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996 ‎‡2 BNF|14064637
996 ‎‡2 LC|no2023117284
996 ‎‡2 LC|n 85014200
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996 ‎‡2 CAOONL|ncf11202494
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996 ‎‡2 SUDOC|243698313
996 ‎‡2 NUKAT|n 2014094540
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996 ‎‡2 DNB|172078792
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996 ‎‡2 NII|DA05063325
996 ‎‡2 NII|DA02600971
996 ‎‡2 LC|n 84124538
996 ‎‡2 NUKAT|n 2019223084
997 ‎‡a 0 0 lived 0 0‏ ‎‡9 1‏