Modeling and objectification of blood vessel calcification with using of multiregional segmentation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-09

AUTHORS

Jan Kubicek, Iveta Bryjova, Jan Valosek, Marek Penhaker, Martin Augustynek, Martin Cerny, Vladimir Kasik, David Oczka

ABSTRACT

In a clinical practice of the angiography, the blood vessel analysis is substantially important mainly in a sense of an objectification and modeling of the pathological spots such as the blood vessel calcifications. An amount of the calcification is commonly just estimated by naked eyes; therefore, the automatic modeling may be beneficial in a context of an extraction of the blood vessel features well representing a level of the blood vessel deterioration. In this work, we have proposed a fully automatic software environment (BloodVessCalc) for processing the blood vessel images acquired by the CT (computer tomography). The main function of the SW is the multiregional image segmentation allowing for an extraction of the physiological blood vessel location from the calcification spots. This model offers the calcium score calculation in a form of amount of the calcification. In the last part of our analysis, the predictive intervals of the average value and median for calcium score are calculated. More... »

PAGES

279-289

References to SciGraph publications

  • 2016. Classification Method for Macular Lesions Using Fuzzy Thresholding Method in XIV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2016
  • 2016. Extraction of Chondromalacia Knee Cartilage Using Multi Slice Thresholding Method in CONTEXT-AWARE SYSTEMS AND APPLICATIONS
  • 2016. Extraction of Blood Vessels Using Multilevel Thresholding with Color Coding in ADVANCED COMPUTER AND COMMUNICATION ENGINEERING TECHNOLOGY
  • 2017. Segmentation of Vascular Calcifications and Statistical Analysis of Calcium Score in INTELLIGENT INFORMATION AND DATABASE SYSTEMS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s40595-018-0122-z

    DOI

    http://dx.doi.org/10.1007/s40595-018-0122-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1106082015


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Technical University of Ostrava", 
              "id": "https://www.grid.ac/institutes/grid.440850.d", 
              "name": [
                "VSB-Technical University of Ostrava, FEECS, K450, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kubicek", 
            "givenName": "Jan", 
            "id": "sg:person.07664553017.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07664553017.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Ostrava", 
              "id": "https://www.grid.ac/institutes/grid.440850.d", 
              "name": [
                "VSB-Technical University of Ostrava, FEECS, K450, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bryjova", 
            "givenName": "Iveta", 
            "id": "sg:person.07561271105.88", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07561271105.88"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Ostrava", 
              "id": "https://www.grid.ac/institutes/grid.440850.d", 
              "name": [
                "VSB-Technical University of Ostrava, FEECS, K450, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Valosek", 
            "givenName": "Jan", 
            "id": "sg:person.07631566145.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07631566145.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Ostrava", 
              "id": "https://www.grid.ac/institutes/grid.440850.d", 
              "name": [
                "VSB-Technical University of Ostrava, FEECS, K450, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Penhaker", 
            "givenName": "Marek", 
            "id": "sg:person.01062450534.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062450534.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Ostrava", 
              "id": "https://www.grid.ac/institutes/grid.440850.d", 
              "name": [
                "VSB-Technical University of Ostrava, FEECS, K450, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Augustynek", 
            "givenName": "Martin", 
            "id": "sg:person.01035712573.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035712573.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Ostrava", 
              "id": "https://www.grid.ac/institutes/grid.440850.d", 
              "name": [
                "VSB-Technical University of Ostrava, FEECS, K450, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cerny", 
            "givenName": "Martin", 
            "id": "sg:person.015221046551.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015221046551.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Ostrava", 
              "id": "https://www.grid.ac/institutes/grid.440850.d", 
              "name": [
                "VSB-Technical University of Ostrava, FEECS, K450, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kasik", 
            "givenName": "Vladimir", 
            "id": "sg:person.012070222745.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012070222745.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Technical University of Ostrava", 
              "id": "https://www.grid.ac/institutes/grid.440850.d", 
              "name": [
                "VSB-Technical University of Ostrava, FEECS, K450, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Oczka", 
            "givenName": "David", 
            "id": "sg:person.016036101167.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016036101167.52"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1161/strokeaha.108.521419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004002152"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/strokeaha.108.521419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004002152"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/strokeaha.108.521419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004002152"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiol.2341040439", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012973762"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-32703-7_48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013213379", 
              "https://doi.org/10.1007/978-3-319-32703-7_48"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/01.cir.97.18.1837", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013788536"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijcard.2016.09.043", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018725967"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circulationaha.111.075929", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019903698"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/circulationaha.111.075929", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019903698"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.atherosclerosis.2012.12.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031584411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/strokeaha.111.678078", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033110112"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/strokeaha.111.678078", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033110112"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-29236-6_37", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034687022", 
              "https://doi.org/10.1007/978-3-319-29236-6_37"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ijcard.2016.08.063", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034883098"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-24584-3_33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038775644", 
              "https://doi.org/10.1007/978-3-319-24584-3_33"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmoa072100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039057520"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/rct.0b013e31817579ee", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043073085"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/rct.0b013e31817579ee", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043073085"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1747-4949.2012.00841.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043873806"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1747-4949.2012.00841.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043873806"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1747-4949.2012.00841.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043873806"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0090201", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044675200"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0735-1097(90)90282-t", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049504833"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01621459.1971.10482356", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058300829"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-54430-4_44", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086029789", 
              "https://doi.org/10.1007/978-3-319-54430-4_44"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/iccea.2010.238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094960685"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tsp.2012.6256366", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095469891"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2018-09", 
        "datePublishedReg": "2018-09-01", 
        "description": "In a clinical practice of the angiography, the blood vessel analysis is substantially important mainly in a sense of an objectification and modeling of the pathological spots such as the blood vessel calcifications. An amount of the calcification is commonly just estimated by naked eyes; therefore, the automatic modeling may be beneficial in a context of an extraction of the blood vessel features well representing a level of the blood vessel deterioration. In this work, we have proposed a fully automatic software environment (BloodVessCalc) for processing the blood vessel images acquired by the CT (computer tomography). The main function of the SW is the multiregional image segmentation allowing for an extraction of the physiological blood vessel location from the calcification spots. This model offers the calcium score calculation in a form of amount of the calcification. In the last part of our analysis, the predictive intervals of the average value and median for calcium score are calculated.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s40595-018-0122-z", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1136708", 
            "issn": [
              "2196-8888", 
              "2196-8896"
            ], 
            "name": "Vietnam Journal of Computer Science", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3-4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "5"
          }
        ], 
        "name": "Modeling and objectification of blood vessel calcification with using of multiregional segmentation", 
        "pagination": "279-289", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "5b6abea1abcbbfeba77e7658a775d59c50bd4bc303b3f61c455e97bb03ab33bc"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s40595-018-0122-z"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1106082015"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s40595-018-0122-z", 
          "https://app.dimensions.ai/details/publication/pub.1106082015"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T20:43", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000494.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s40595-018-0122-z"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s40595-018-0122-z'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s40595-018-0122-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40595-018-0122-z'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40595-018-0122-z'


     

    This table displays all metadata directly associated to this object as RDF triples.

    174 TRIPLES      21 PREDICATES      47 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s40595-018-0122-z schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author Nfbd558d480f645c2b5512dec16f2ce2e
    4 schema:citation sg:pub.10.1007/978-3-319-24584-3_33
    5 sg:pub.10.1007/978-3-319-29236-6_37
    6 sg:pub.10.1007/978-3-319-32703-7_48
    7 sg:pub.10.1007/978-3-319-54430-4_44
    8 https://doi.org/10.1016/0735-1097(90)90282-t
    9 https://doi.org/10.1016/j.atherosclerosis.2012.12.017
    10 https://doi.org/10.1016/j.ijcard.2016.08.063
    11 https://doi.org/10.1016/j.ijcard.2016.09.043
    12 https://doi.org/10.1056/nejmoa072100
    13 https://doi.org/10.1080/01621459.1971.10482356
    14 https://doi.org/10.1097/rct.0b013e31817579ee
    15 https://doi.org/10.1109/iccea.2010.238
    16 https://doi.org/10.1109/tsp.2012.6256366
    17 https://doi.org/10.1111/j.1747-4949.2012.00841.x
    18 https://doi.org/10.1148/radiol.2341040439
    19 https://doi.org/10.1161/01.cir.97.18.1837
    20 https://doi.org/10.1161/circulationaha.111.075929
    21 https://doi.org/10.1161/strokeaha.108.521419
    22 https://doi.org/10.1161/strokeaha.111.678078
    23 https://doi.org/10.1371/journal.pone.0090201
    24 schema:datePublished 2018-09
    25 schema:datePublishedReg 2018-09-01
    26 schema:description In a clinical practice of the angiography, the blood vessel analysis is substantially important mainly in a sense of an objectification and modeling of the pathological spots such as the blood vessel calcifications. An amount of the calcification is commonly just estimated by naked eyes; therefore, the automatic modeling may be beneficial in a context of an extraction of the blood vessel features well representing a level of the blood vessel deterioration. In this work, we have proposed a fully automatic software environment (BloodVessCalc) for processing the blood vessel images acquired by the CT (computer tomography). The main function of the SW is the multiregional image segmentation allowing for an extraction of the physiological blood vessel location from the calcification spots. This model offers the calcium score calculation in a form of amount of the calcification. In the last part of our analysis, the predictive intervals of the average value and median for calcium score are calculated.
    27 schema:genre research_article
    28 schema:inLanguage en
    29 schema:isAccessibleForFree true
    30 schema:isPartOf N122e485134464bf9815403af6f9371eb
    31 N49a8adc5551a4c50b068278d644544de
    32 sg:journal.1136708
    33 schema:name Modeling and objectification of blood vessel calcification with using of multiregional segmentation
    34 schema:pagination 279-289
    35 schema:productId N3ebf24b334a642409b8a698b1001bd52
    36 N49c03d3c26124dee83d51138bf065d95
    37 N4f2ce640698c48aaa501d3555386c0dc
    38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106082015
    39 https://doi.org/10.1007/s40595-018-0122-z
    40 schema:sdDatePublished 2019-04-10T20:43
    41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    42 schema:sdPublisher N1ab55a75e29b48cd927255de7e336d49
    43 schema:url http://link.springer.com/10.1007/s40595-018-0122-z
    44 sgo:license sg:explorer/license/
    45 sgo:sdDataset articles
    46 rdf:type schema:ScholarlyArticle
    47 N122e485134464bf9815403af6f9371eb schema:issueNumber 3-4
    48 rdf:type schema:PublicationIssue
    49 N1ab55a75e29b48cd927255de7e336d49 schema:name Springer Nature - SN SciGraph project
    50 rdf:type schema:Organization
    51 N39d2197feab1431da85f81e4e8825e2a rdf:first sg:person.07561271105.88
    52 rdf:rest N506b5926f67442dfa20fbb42f0708126
    53 N3ebf24b334a642409b8a698b1001bd52 schema:name readcube_id
    54 schema:value 5b6abea1abcbbfeba77e7658a775d59c50bd4bc303b3f61c455e97bb03ab33bc
    55 rdf:type schema:PropertyValue
    56 N49a8adc5551a4c50b068278d644544de schema:volumeNumber 5
    57 rdf:type schema:PublicationVolume
    58 N49c03d3c26124dee83d51138bf065d95 schema:name doi
    59 schema:value 10.1007/s40595-018-0122-z
    60 rdf:type schema:PropertyValue
    61 N4f2ce640698c48aaa501d3555386c0dc schema:name dimensions_id
    62 schema:value pub.1106082015
    63 rdf:type schema:PropertyValue
    64 N506b5926f67442dfa20fbb42f0708126 rdf:first sg:person.07631566145.17
    65 rdf:rest Nd68f561537544519abce44c20e1d136b
    66 N8173f3fb5e724096803a361e258a48c3 rdf:first sg:person.016036101167.52
    67 rdf:rest rdf:nil
    68 Naacc0fe2e4bf40d2a0c1885f39b5a1c4 rdf:first sg:person.01035712573.21
    69 rdf:rest Ne9b95cbe3d024c70b6ef8a58accd8af3
    70 Nd68f561537544519abce44c20e1d136b rdf:first sg:person.01062450534.15
    71 rdf:rest Naacc0fe2e4bf40d2a0c1885f39b5a1c4
    72 Nd81909ee77df4a36a0e2d96b9a0fb929 rdf:first sg:person.012070222745.08
    73 rdf:rest N8173f3fb5e724096803a361e258a48c3
    74 Ne9b95cbe3d024c70b6ef8a58accd8af3 rdf:first sg:person.015221046551.31
    75 rdf:rest Nd81909ee77df4a36a0e2d96b9a0fb929
    76 Nfbd558d480f645c2b5512dec16f2ce2e rdf:first sg:person.07664553017.30
    77 rdf:rest N39d2197feab1431da85f81e4e8825e2a
    78 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    79 schema:name Information and Computing Sciences
    80 rdf:type schema:DefinedTerm
    81 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    82 schema:name Artificial Intelligence and Image Processing
    83 rdf:type schema:DefinedTerm
    84 sg:journal.1136708 schema:issn 2196-8888
    85 2196-8896
    86 schema:name Vietnam Journal of Computer Science
    87 rdf:type schema:Periodical
    88 sg:person.01035712573.21 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
    89 schema:familyName Augustynek
    90 schema:givenName Martin
    91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035712573.21
    92 rdf:type schema:Person
    93 sg:person.01062450534.15 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
    94 schema:familyName Penhaker
    95 schema:givenName Marek
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062450534.15
    97 rdf:type schema:Person
    98 sg:person.012070222745.08 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
    99 schema:familyName Kasik
    100 schema:givenName Vladimir
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012070222745.08
    102 rdf:type schema:Person
    103 sg:person.015221046551.31 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
    104 schema:familyName Cerny
    105 schema:givenName Martin
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015221046551.31
    107 rdf:type schema:Person
    108 sg:person.016036101167.52 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
    109 schema:familyName Oczka
    110 schema:givenName David
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016036101167.52
    112 rdf:type schema:Person
    113 sg:person.07561271105.88 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
    114 schema:familyName Bryjova
    115 schema:givenName Iveta
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07561271105.88
    117 rdf:type schema:Person
    118 sg:person.07631566145.17 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
    119 schema:familyName Valosek
    120 schema:givenName Jan
    121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07631566145.17
    122 rdf:type schema:Person
    123 sg:person.07664553017.30 schema:affiliation https://www.grid.ac/institutes/grid.440850.d
    124 schema:familyName Kubicek
    125 schema:givenName Jan
    126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07664553017.30
    127 rdf:type schema:Person
    128 sg:pub.10.1007/978-3-319-24584-3_33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038775644
    129 https://doi.org/10.1007/978-3-319-24584-3_33
    130 rdf:type schema:CreativeWork
    131 sg:pub.10.1007/978-3-319-29236-6_37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034687022
    132 https://doi.org/10.1007/978-3-319-29236-6_37
    133 rdf:type schema:CreativeWork
    134 sg:pub.10.1007/978-3-319-32703-7_48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013213379
    135 https://doi.org/10.1007/978-3-319-32703-7_48
    136 rdf:type schema:CreativeWork
    137 sg:pub.10.1007/978-3-319-54430-4_44 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086029789
    138 https://doi.org/10.1007/978-3-319-54430-4_44
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1016/0735-1097(90)90282-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1049504833
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1016/j.atherosclerosis.2012.12.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031584411
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1016/j.ijcard.2016.08.063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034883098
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1016/j.ijcard.2016.09.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018725967
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1056/nejmoa072100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039057520
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1080/01621459.1971.10482356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058300829
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1097/rct.0b013e31817579ee schema:sameAs https://app.dimensions.ai/details/publication/pub.1043073085
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1109/iccea.2010.238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094960685
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1109/tsp.2012.6256366 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095469891
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1111/j.1747-4949.2012.00841.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043873806
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1148/radiol.2341040439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012973762
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1161/01.cir.97.18.1837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013788536
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1161/circulationaha.111.075929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019903698
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1161/strokeaha.108.521419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004002152
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1161/strokeaha.111.678078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033110112
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1371/journal.pone.0090201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044675200
    171 rdf:type schema:CreativeWork
    172 https://www.grid.ac/institutes/grid.440850.d schema:alternateName Technical University of Ostrava
    173 schema:name VSB-Technical University of Ostrava, FEECS, K450, 17. listopadu 15, 708 33, Ostrava, Poruba, Czech Republic
    174 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...