Classification of calcified regions in atherosclerotic lesions of the carotid artery in computed tomography angiography images View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-08

AUTHORS

Danilo Samuel Jodas, Aledir Silveira Pereira, João Manuel R. S. Tavares

ABSTRACT

N/A

Journal

TITLE

Neural Computing and Applications

ISSUE

N/A

VOLUME

N/A

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00521-019-04183-z

DOI

http://dx.doi.org/10.1007/s00521-019-04183-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113303032


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", 
    "author": [
      {
        "familyName": "Jodas", 
        "givenName": "Danilo Samuel", 
        "type": "Person"
      }, 
      {
        "familyName": "Pereira", 
        "givenName": "Aledir Silveira", 
        "type": "Person"
      }, 
      {
        "familyName": "Tavares", 
        "givenName": "Jo\u00e3o Manuel R. S.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1371/journal.pone.0094840", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001760414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4103/2153-3539.109802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005686292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eswa.2015.10.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009120354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.103.8.1051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011607292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.105.589044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014132344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000204638.91099.91", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021071288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000204638.91099.91", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021071288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000240518.90124.57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028551725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000240518.90124.57", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028551725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/2911451.2911548", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030695334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-011-9890-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030845150", 
          "https://doi.org/10.1007/s10554-011-9890-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a0950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032435631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jsre.1995.1051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032844664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.219.2.r01ma15403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033753895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0301-5629(90)90064-j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034245720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hc0202.102121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038275788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejvs.2014.05.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038493591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-013-0194-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040997379", 
          "https://doi.org/10.1007/s10554-013-0194-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a3028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041396776"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.23918", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043833248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1749-6632.2000.tb06312.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048046292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/2939672.2939832", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049831947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0031-9155/57/1/241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059029172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/jbhi.2015.2414934", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061277066"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmi.2009.2025702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061695430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.92.5.1355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063336553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icmss.2011.5999201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094387639"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04-08", 
    "datePublishedReg": "2019-04-08", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00521-019-04183-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1104357", 
        "issn": [
          "0941-0643", 
          "1433-3058"
        ], 
        "name": "Neural Computing and Applications", 
        "type": "Periodical"
      }
    ], 
    "name": "Classification of calcified regions in atherosclerotic lesions of the carotid artery in computed tomography angiography images", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00521-019-04183-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113303032"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00521-019-04183-z", 
      "https://app.dimensions.ai/details/publication/pub.1113303032"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T08:51", 
    "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/v90/0000000374_0000000374/records_119738_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00521-019-04183-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/s00521-019-04183-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/s00521-019-04183-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00521-019-04183-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00521-019-04183-z'


 

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

123 TRIPLES      18 PREDICATES      44 URIs      13 LITERALS      4 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00521-019-04183-z schema:author N70ce655d716048d78aae2d8a2bfafc8e
2 schema:citation sg:pub.10.1007/s10554-011-9890-6
3 sg:pub.10.1007/s10554-013-0194-x
4 https://doi.org/10.1002/jmri.23918
5 https://doi.org/10.1006/jsre.1995.1051
6 https://doi.org/10.1016/0301-5629(90)90064-j
7 https://doi.org/10.1016/j.ejvs.2014.05.015
8 https://doi.org/10.1016/j.eswa.2015.10.016
9 https://doi.org/10.1088/0031-9155/57/1/241
10 https://doi.org/10.1109/icmss.2011.5999201
11 https://doi.org/10.1109/jbhi.2015.2414934
12 https://doi.org/10.1109/tmi.2009.2025702
13 https://doi.org/10.1111/j.1749-6632.2000.tb06312.x
14 https://doi.org/10.1145/2911451.2911548
15 https://doi.org/10.1145/2939672.2939832
16 https://doi.org/10.1148/radiology.219.2.r01ma15403
17 https://doi.org/10.1161/01.atv.0000240518.90124.57
18 https://doi.org/10.1161/01.cir.103.8.1051
19 https://doi.org/10.1161/01.cir.92.5.1355
20 https://doi.org/10.1161/01.str.0000204638.91099.91
21 https://doi.org/10.1161/circulationaha.105.589044
22 https://doi.org/10.1161/hc0202.102121
23 https://doi.org/10.1371/journal.pone.0094840
24 https://doi.org/10.3174/ajnr.a0950
25 https://doi.org/10.3174/ajnr.a3028
26 https://doi.org/10.4103/2153-3539.109802
27 schema:datePublished 2019-04-08
28 schema:datePublishedReg 2019-04-08
29 schema:genre research_article
30 schema:inLanguage en
31 schema:isAccessibleForFree false
32 schema:isPartOf sg:journal.1104357
33 schema:name Classification of calcified regions in atherosclerotic lesions of the carotid artery in computed tomography angiography images
34 schema:productId N38e6830ad66748e59ad8d4521816a64d
35 Nb85074fc942442c09a0e1c137ff68e6b
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113303032
37 https://doi.org/10.1007/s00521-019-04183-z
38 schema:sdDatePublished 2019-04-15T08:51
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N19f6432de2de4e04af3ebfed2efe2080
41 schema:url http://link.springer.com/10.1007/s00521-019-04183-z
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N131f6aef054841d7a1cfe35b65c11f4c schema:familyName Pereira
46 schema:givenName Aledir Silveira
47 rdf:type schema:Person
48 N19f6432de2de4e04af3ebfed2efe2080 schema:name Springer Nature - SN SciGraph project
49 rdf:type schema:Organization
50 N2b7517a3ecea47a7b33252f0a4204067 rdf:first Ned9b122b143849bfba5a3586af311c40
51 rdf:rest rdf:nil
52 N38e6830ad66748e59ad8d4521816a64d schema:name doi
53 schema:value 10.1007/s00521-019-04183-z
54 rdf:type schema:PropertyValue
55 N42e1ffad6efb4b4c9705c0492dd07534 rdf:first N131f6aef054841d7a1cfe35b65c11f4c
56 rdf:rest N2b7517a3ecea47a7b33252f0a4204067
57 N70ce655d716048d78aae2d8a2bfafc8e rdf:first N936d71d8cba14de59705a3ed61c6e5d7
58 rdf:rest N42e1ffad6efb4b4c9705c0492dd07534
59 N936d71d8cba14de59705a3ed61c6e5d7 schema:familyName Jodas
60 schema:givenName Danilo Samuel
61 rdf:type schema:Person
62 Nb85074fc942442c09a0e1c137ff68e6b schema:name dimensions_id
63 schema:value pub.1113303032
64 rdf:type schema:PropertyValue
65 Ned9b122b143849bfba5a3586af311c40 schema:familyName Tavares
66 schema:givenName João Manuel R. S.
67 rdf:type schema:Person
68 sg:journal.1104357 schema:issn 0941-0643
69 1433-3058
70 schema:name Neural Computing and Applications
71 rdf:type schema:Periodical
72 sg:pub.10.1007/s10554-011-9890-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030845150
73 https://doi.org/10.1007/s10554-011-9890-6
74 rdf:type schema:CreativeWork
75 sg:pub.10.1007/s10554-013-0194-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040997379
76 https://doi.org/10.1007/s10554-013-0194-x
77 rdf:type schema:CreativeWork
78 https://doi.org/10.1002/jmri.23918 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043833248
79 rdf:type schema:CreativeWork
80 https://doi.org/10.1006/jsre.1995.1051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032844664
81 rdf:type schema:CreativeWork
82 https://doi.org/10.1016/0301-5629(90)90064-j schema:sameAs https://app.dimensions.ai/details/publication/pub.1034245720
83 rdf:type schema:CreativeWork
84 https://doi.org/10.1016/j.ejvs.2014.05.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038493591
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1016/j.eswa.2015.10.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009120354
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1088/0031-9155/57/1/241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059029172
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1109/icmss.2011.5999201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094387639
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1109/jbhi.2015.2414934 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061277066
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1109/tmi.2009.2025702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061695430
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1111/j.1749-6632.2000.tb06312.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048046292
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1145/2911451.2911548 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030695334
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1145/2939672.2939832 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049831947
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1148/radiology.219.2.r01ma15403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033753895
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1161/01.atv.0000240518.90124.57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028551725
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1161/01.cir.103.8.1051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011607292
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1161/01.cir.92.5.1355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063336553
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1161/01.str.0000204638.91099.91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021071288
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1161/circulationaha.105.589044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014132344
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1161/hc0202.102121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038275788
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1371/journal.pone.0094840 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001760414
117 rdf:type schema:CreativeWork
118 https://doi.org/10.3174/ajnr.a0950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032435631
119 rdf:type schema:CreativeWork
120 https://doi.org/10.3174/ajnr.a3028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041396776
121 rdf:type schema:CreativeWork
122 https://doi.org/10.4103/2153-3539.109802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005686292
123 rdf:type schema:CreativeWork
 




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


...