VIAF

Virtual International Authority File

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Leader     00000nz a2200037n 45 0
001     WKP|Q59043722  (VIAF cluster)  (Authority/Source Record)
003     WKP
005     20241221010849.0
008     241221nneanz||abbn n and d
035 ‎‡a  (WKP)Q59043722‏
024 ‎‡a  0000-0002-4319-738X‏ ‎‡2  orcid‏
024 ‎‡a  8404000600‏ ‎‡2  scopus‏
035 ‎‡a  (OCoLC)Q59043722‏
100 0 ‎‡a  Ana M Mendonça‏ ‎‡c  researcher ORCID ID = 0000-0002-4319-738X‏ ‎‡9  en‏
375 ‎‡a  2‏ ‎‡2  iso5218‏
400 0 ‎‡a  Ana M Mendonça‏ ‎‡c  wetenschapper‏ ‎‡9  nl‏
670 ‎‡a  Author's An automatic graph-based approach for artery/vein classification in retinal images.‏
670 ‎‡a  Author's Assessing clinical applicability of COVID-19 detection in chest radiography with deep learning‏
670 ‎‡a  Author's Automated Arabidopsis plant root cell segmentation based on SVM classification and region merging.‏
670 ‎‡a  Author's Automatic lane segmentation in TLC images using the continuous wavelet transform‏
670 ‎‡a  Author's Cell nuclei and cytoplasm joint segmentation using the sliding band filter.‏
670 ‎‡a  Author's Chromatographic pattern classification.‏
670 ‎‡a  Author's End-to-end Adversarial Retinal Image Synthesis.‏
670 ‎‡a  Author's Fibronectin-mediated endothelialisation of chitosan porous matrices‏
670 ‎‡a  Author's Optic disc segmentation using the sliding band filter‏
670 ‎‡a  Author's Parametric model fitting-based approach for retinal blood vessel caliber estimation in eye fundus images.‏
670 ‎‡a  Author's RetinaCAD, a system for the assessment of retinal vascular changes‏
670 ‎‡a  Author's Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction.‏
909 ‎‡a  (orcid) 000000024319738x‏ ‎‡9  1‏
909 ‎‡a  (scopus) 8404000600‏ ‎‡9  1‏
919 ‎‡a  assessingclinicalapplicabilityofcovid19detectioninchestradiographywithdeeplearning‏ ‎‡A  Assessing clinical applicability of COVID-19 detection in chest radiography with deep learning‏ ‎‡9  1‏
919 ‎‡a  automaticgraphbasedapproachforarteryveinclassificationinretinalimages‏ ‎‡A  An automatic graph-based approach for artery/vein classification in retinal images.‏ ‎‡9  1‏
919 ‎‡a  automatedarabidopsisplantrootcellsegmentationbasedonsvmclassificationandregionmerging‏ ‎‡A  Automated Arabidopsis plant root cell segmentation based on SVM classification and region merging.‏ ‎‡9  1‏
919 ‎‡a  automaticlanesegmentationintlcimagesusingthecontinuouswavelettransform‏ ‎‡A  Automatic lane segmentation in TLC images using the continuous wavelet transform‏ ‎‡9  1‏
919 ‎‡a  cellnucleiandcytoplasmjointsegmentationusingtheslidingbandfilter‏ ‎‡A  Cell nuclei and cytoplasm joint segmentation using the sliding band filter.‏ ‎‡9  1‏
919 ‎‡a  chromatographicpatternclassification‏ ‎‡A  Chromatographic pattern classification.‏ ‎‡9  1‏
919 ‎‡a  endtoendadversarialretinalimagesynthesis‏ ‎‡A  End-to-end Adversarial Retinal Image Synthesis.‏ ‎‡9  1‏
919 ‎‡a  fibronectinmediatedendothelialisationofchitosanporousmatrices‏ ‎‡A  Fibronectin-mediated endothelialisation of chitosan porous matrices‏ ‎‡9  1‏
919 ‎‡a  opticdiscsegmentationusingtheslidingbandfilter‏ ‎‡A  Optic disc segmentation using the sliding band filter‏ ‎‡9  1‏
919 ‎‡a  parametricmodelfittingbasedapproachforretinalbloodvesselcaliberestimationineyefundusimages‏ ‎‡A  Parametric model fitting-based approach for retinal blood vessel caliber estimation in eye fundus images.‏ ‎‡9  1‏
919 ‎‡a  retinacadasystemfortheassessmentofretinalvascularchanges‏ ‎‡A  RetinaCAD, a system for the assessment of retinal vascular changes‏ ‎‡9  1‏
919 ‎‡a  segmentationofretinalbloodvesselsbycombiningthedetectionofcenterlinesandmorphologicalreconstruction‏ ‎‡A  Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction.‏ ‎‡9  1‏
946 ‎‡a  a‏ ‎‡9  1‏
996 ‎‡2  DNB|1057178950
996 ‎‡2  PTBNP|1197290
996 ‎‡2  LC|n 2023252207
996 ‎‡2  DNB|138185654
996 ‎‡2  PTBNP|1489914
996 ‎‡2  NSK|000061522
996 ‎‡2  ISNI|0000000032371966
996 ‎‡2  SUDOC|061660116
996 ‎‡2  NTA|236712926
996 ‎‡2  BLBNB|001072716
996 ‎‡2  BNE|XX5468160
996 ‎‡2  ISNI|0000000029194639
996 ‎‡2  PTBNP|1403199
996 ‎‡2  ISNI|0000000428220902
996 ‎‡2  LC|n 80058834
996 ‎‡2  ISNI|0000000043005523
996 ‎‡2  NTA|070503532
996 ‎‡2  LC|n 89222080
996 ‎‡2  LC|no2008154539
996 ‎‡2  ISNI|0000000023465020
996 ‎‡2  J9U|987007395892505171
996 ‎‡2  BLBNB|000488817
996 ‎‡2  PTBNP|183313
996 ‎‡2  LC|n 91005806
996 ‎‡2  DNB|1232114804
996 ‎‡2  PTBNP|1899243
996 ‎‡2  LC|n 2018251035
996 ‎‡2  BLBNB|000624438
996 ‎‡2  DNB|1060661292
996 ‎‡2  LC|n 84101204
996 ‎‡2  ISNI|0000000090832484
996 ‎‡2  LC|n 84023516
996 ‎‡2  BLBNB|000619169
996 ‎‡2  DNB|188470263
996 ‎‡2  LC|n 2013201184
996 ‎‡2  ISNI|0000000068188549
996 ‎‡2  ISNI|0000000116541213
996 ‎‡2  BLBNB|000482328
996 ‎‡2  PTBNP|1365623
996 ‎‡2  PTBNP|1872972
996 ‎‡2  LC|n 87938713
996 ‎‡2  PTBNP|1321998
996 ‎‡2  BLBNB|000347504
996 ‎‡2  SUDOC|131847236
996 ‎‡2  DNB|17255411X
996 ‎‡2  JPG|500239578
996 ‎‡2  BLBNB|001520230
996 ‎‡2  PTBNP|1477870
996 ‎‡2  SUDOC|076498298
996 ‎‡2  PTBNP|1911909
996 ‎‡2  BLBNB|000294911
996 ‎‡2  LC|n 2007207499
996 ‎‡2  ISNI|0000000069609114
996 ‎‡2  ISNI|0000000420135252
996 ‎‡2  ISNI|000000042828288X
996 ‎‡2  BLBNB|001028294
996 ‎‡2  ISNI|0000000393096402
996 ‎‡2  LC|n 95920546
996 ‎‡2  PTBNP|112047
996 ‎‡2  PTBNP|1420487
996 ‎‡2  BNCHL|10000000000000000276972
996 ‎‡2  ISNI|0000000428293431
996 ‎‡2  ISNI|0000000119212909
996 ‎‡2  BLBNB|000609186
996 ‎‡2  BLBNB|000173935
996 ‎‡2  ISNI|0000000068987017
996 ‎‡2  SUDOC|148219519
996 ‎‡2  BLBNB|001457512
996 ‎‡2  SUDOC|171160967
996 ‎‡2  PTBNP|91250
996 ‎‡2  DNB|1056369825
996 ‎‡2  ISNI|0000000425293743
996 ‎‡2  BLBNB|000993615
996 ‎‡2  RERO|A027563500
996 ‎‡2  PTBNP|1489367
996 ‎‡2  PTBNP|1880882
996 ‎‡2  ISNI|0000000081052857
996 ‎‡2  LC|n 2010201970
996 ‎‡2  LC|no2011058698
996 ‎‡2  ISNI|0000000068176097
996 ‎‡2  ISNI|0000000040733277
996 ‎‡2  NUKAT|n 2010118441
996 ‎‡2  ISNI|0000000077870654
997 ‎‡a  0 0 lived 0 0‏ ‎‡9  1‏
998 ‎‡a  Mendonça,‏ ‎‡b  Ana Maria‏ ‎‡2  PTBNP|131788‏ ‎‡3  title: (0.72, 'advancedimageanalysisfortheassessmentofretinalvascularchanges', 'retinacadasystemfortheassessmentofretinalvascularchanges')‏