Medical 3D printing for vascular interventions and surgical oncology: a primer for the 2016 radiological society of North America (RSNA) ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

Leonid Chepelev, Taryn Hodgdon, Ashish Gupta, Aili Wang, Carlos Torres, Satheesh Krishna, Ekin Akyuz, Dimitrios Mitsouras, Adnan Sheikh

ABSTRACT

Medical 3D printing holds the potential of transforming personalized medicine by enabling the fabrication of patient-specific implants, reimagining prostheses, developing surgical guides to expedite and transform surgical interventions, and enabling a growing multitude of specialized applications. In order to realize this tremendous potential in frontline medicine, an understanding of the basic principles of 3D printing by the medical professionals is required. This primer underlines the basic approaches and tools in 3D printing, starting from patient anatomy acquired through cross-sectional imaging, in this case Computed Tomography (CT). We describe the basic principles using the relatively simple task of separation of the relevant anatomy to guide aneurysm repair. This is followed by exploration of more advanced techniques in the creation of patient-specific surgical guides and prostheses for a patient with extensive pleomorphic sarcoma using Computer Aided Design (CAD) software. More... »

PAGES

5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s41205-016-0008-6

DOI

http://dx.doi.org/10.1186/s41205-016-0008-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034668472

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30050977


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": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "The Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chepelev", 
        "givenName": "Leonid", 
        "id": "sg:person.0642060675.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642060675.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "The Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hodgdon", 
        "givenName": "Taryn", 
        "id": "sg:person.01351575153.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351575153.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "The Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gupta", 
        "givenName": "Ashish", 
        "id": "sg:person.01060313046.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060313046.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "Faculty of Medicine, University of Ottawa, Ottawa, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Aili", 
        "id": "sg:person.016151721617.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016151721617.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "The Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Torres", 
        "givenName": "Carlos", 
        "id": "sg:person.0647123346.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647123346.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "The Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Krishna", 
        "givenName": "Satheesh", 
        "id": "sg:person.0726565255.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726565255.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "The Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Akyuz", 
        "givenName": "Ekin", 
        "id": "sg:person.010244231017.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010244231017.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brigham and Women's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.62560.37", 
          "name": [
            "Department of Radiology, Applied Imaging Science Lab, Brigham and Women\u2019s Hospital, Boston, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mitsouras", 
        "givenName": "Dimitrios", 
        "id": "sg:person.013244210707.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013244210707.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Ottawa", 
          "id": "https://www.grid.ac/institutes/grid.28046.38", 
          "name": [
            "The Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, Ontario, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sheikh", 
        "givenName": "Adnan", 
        "id": "sg:person.01075536672.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075536672.19"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1586/era.09.76", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001624970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0741-5214(00)70073-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002745523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0741-5214(89)90411-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005235182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19990415)85:8<1765::aid-cncr17>3.0.co;2-k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016374956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvs.2008.11.101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018288028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1510/icvts.2009.218305", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020238552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvs.2008.01.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021394608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.avsg.2010.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029267556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s41205-015-0002-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034096729", 
          "https://doi.org/10.1186/s41205-015-0002-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s41205-015-0002-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034096729", 
          "https://doi.org/10.1186/s41205-015-0002-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19960501)77:9<1823::aid-cncr10>3.0.co;2-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036155009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0360-3016(95)02262-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037301893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10278-013-9622-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044365820", 
          "https://doi.org/10.1007/s10278-013-9622-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jso.20972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044877543"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.2015140320", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079178736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081989826", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-12", 
    "datePublishedReg": "2016-12-01", 
    "description": "Medical 3D printing holds the potential of transforming personalized medicine by enabling the fabrication of patient-specific implants, reimagining prostheses, developing surgical guides to expedite and transform surgical interventions, and enabling a growing multitude of specialized applications. In order to realize this tremendous potential in frontline medicine, an understanding of the basic principles of 3D printing by the medical professionals is required. This primer underlines the basic approaches and tools in 3D printing, starting from patient anatomy acquired through cross-sectional imaging, in this case Computed Tomography (CT). We describe the basic principles using the relatively simple task of separation of the relevant anatomy to guide aneurysm repair. This is followed by exploration of more advanced techniques in the creation of patient-specific surgical guides and prostheses for a patient with extensive pleomorphic sarcoma using Computer Aided Design (CAD) software.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s41205-016-0008-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1158738", 
        "issn": [
          "2365-6271"
        ], 
        "name": "3D Printing in Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2"
      }
    ], 
    "name": "Medical 3D printing for vascular interventions and surgical oncology: a primer for the 2016 radiological society of North America (RSNA) hands-on course in 3D printing", 
    "pagination": "5", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a525ba97d79f766d360b3f5416cd92bf814c1250f54dc21f74a648bda326f3bb"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30050977"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101721758"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s41205-016-0008-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1034668472"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s41205-016-0008-6", 
      "https://app.dimensions.ai/details/publication/pub.1034668472"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:40", 
    "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_8672_00000571.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs41205-016-0008-6"
  }
]
 

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.10.1186/s41205-016-0008-6'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s41205-016-0008-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s41205-016-0008-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s41205-016-0008-6'


 

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

174 TRIPLES      21 PREDICATES      44 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s41205-016-0008-6 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N25325476c14440aa9e4de822373b76dd
4 schema:citation sg:pub.10.1007/s10278-013-9622-7
5 sg:pub.10.1186/s41205-015-0002-4
6 https://app.dimensions.ai/details/publication/pub.1081989826
7 https://doi.org/10.1002/(sici)1097-0142(19960501)77:9<1823::aid-cncr10>3.0.co;2-1
8 https://doi.org/10.1002/(sici)1097-0142(19990415)85:8<1765::aid-cncr17>3.0.co;2-k
9 https://doi.org/10.1002/jso.20972
10 https://doi.org/10.1016/0360-3016(95)02262-7
11 https://doi.org/10.1016/0741-5214(89)90411-4
12 https://doi.org/10.1016/j.avsg.2010.01.008
13 https://doi.org/10.1016/j.jvs.2008.01.050
14 https://doi.org/10.1016/j.jvs.2008.11.101
15 https://doi.org/10.1016/s0741-5214(00)70073-5
16 https://doi.org/10.1148/rg.2015140320
17 https://doi.org/10.1510/icvts.2009.218305
18 https://doi.org/10.1586/era.09.76
19 schema:datePublished 2016-12
20 schema:datePublishedReg 2016-12-01
21 schema:description Medical 3D printing holds the potential of transforming personalized medicine by enabling the fabrication of patient-specific implants, reimagining prostheses, developing surgical guides to expedite and transform surgical interventions, and enabling a growing multitude of specialized applications. In order to realize this tremendous potential in frontline medicine, an understanding of the basic principles of 3D printing by the medical professionals is required. This primer underlines the basic approaches and tools in 3D printing, starting from patient anatomy acquired through cross-sectional imaging, in this case Computed Tomography (CT). We describe the basic principles using the relatively simple task of separation of the relevant anatomy to guide aneurysm repair. This is followed by exploration of more advanced techniques in the creation of patient-specific surgical guides and prostheses for a patient with extensive pleomorphic sarcoma using Computer Aided Design (CAD) software.
22 schema:genre research_article
23 schema:inLanguage en
24 schema:isAccessibleForFree true
25 schema:isPartOf N3f67e8477a344893b4a7af0b665004b0
26 N70bb8b91320a45818d9367fe520295e5
27 sg:journal.1158738
28 schema:name Medical 3D printing for vascular interventions and surgical oncology: a primer for the 2016 radiological society of North America (RSNA) hands-on course in 3D printing
29 schema:pagination 5
30 schema:productId N4fb5f587b5174101a8d571a76b218e5e
31 N89581d44f3914e3eba052a852def9096
32 N8a181b7b9d1a412f849261346b3c8a72
33 Nedb9d41785f14004ac050e6cf5bc8456
34 Nf7993ddd7b124f9f9673222994c8de3d
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034668472
36 https://doi.org/10.1186/s41205-016-0008-6
37 schema:sdDatePublished 2019-04-10T17:40
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher N81e574bd9fe74319a86c5766e313ff6a
40 schema:url https://link.springer.com/10.1186%2Fs41205-016-0008-6
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N08b279dd1a414237b5a5a95df7b7bbd9 rdf:first sg:person.01075536672.19
45 rdf:rest rdf:nil
46 N24ce98f22f30422584b1497dfc56189b rdf:first sg:person.0647123346.72
47 rdf:rest Nb72dbade37564428846f4986581b0c71
48 N25325476c14440aa9e4de822373b76dd rdf:first sg:person.0642060675.11
49 rdf:rest N72b7539520834c34bab89b1eb97ca430
50 N3f67e8477a344893b4a7af0b665004b0 schema:issueNumber 1
51 rdf:type schema:PublicationIssue
52 N4fb5f587b5174101a8d571a76b218e5e schema:name dimensions_id
53 schema:value pub.1034668472
54 rdf:type schema:PropertyValue
55 N6a7019dc68e04b088ba5581c3f8a93ef rdf:first sg:person.01060313046.19
56 rdf:rest Nbe389251658b402fa21076fabf1e9bdf
57 N70bb8b91320a45818d9367fe520295e5 schema:volumeNumber 2
58 rdf:type schema:PublicationVolume
59 N72b7539520834c34bab89b1eb97ca430 rdf:first sg:person.01351575153.07
60 rdf:rest N6a7019dc68e04b088ba5581c3f8a93ef
61 N81e574bd9fe74319a86c5766e313ff6a schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 N89581d44f3914e3eba052a852def9096 schema:name doi
64 schema:value 10.1186/s41205-016-0008-6
65 rdf:type schema:PropertyValue
66 N8a181b7b9d1a412f849261346b3c8a72 schema:name pubmed_id
67 schema:value 30050977
68 rdf:type schema:PropertyValue
69 N8be19aeb0af1439db734fc303cfb019b rdf:first sg:person.010244231017.12
70 rdf:rest Nbd284c6886ba4d549ef4151c84708128
71 Nb72dbade37564428846f4986581b0c71 rdf:first sg:person.0726565255.10
72 rdf:rest N8be19aeb0af1439db734fc303cfb019b
73 Nbd284c6886ba4d549ef4151c84708128 rdf:first sg:person.013244210707.24
74 rdf:rest N08b279dd1a414237b5a5a95df7b7bbd9
75 Nbe389251658b402fa21076fabf1e9bdf rdf:first sg:person.016151721617.43
76 rdf:rest N24ce98f22f30422584b1497dfc56189b
77 Nedb9d41785f14004ac050e6cf5bc8456 schema:name readcube_id
78 schema:value a525ba97d79f766d360b3f5416cd92bf814c1250f54dc21f74a648bda326f3bb
79 rdf:type schema:PropertyValue
80 Nf7993ddd7b124f9f9673222994c8de3d schema:name nlm_unique_id
81 schema:value 101721758
82 rdf:type schema:PropertyValue
83 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
84 schema:name Information and Computing Sciences
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
87 schema:name Artificial Intelligence and Image Processing
88 rdf:type schema:DefinedTerm
89 sg:journal.1158738 schema:issn 2365-6271
90 schema:name 3D Printing in Medicine
91 rdf:type schema:Periodical
92 sg:person.010244231017.12 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
93 schema:familyName Akyuz
94 schema:givenName Ekin
95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010244231017.12
96 rdf:type schema:Person
97 sg:person.01060313046.19 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
98 schema:familyName Gupta
99 schema:givenName Ashish
100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060313046.19
101 rdf:type schema:Person
102 sg:person.01075536672.19 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
103 schema:familyName Sheikh
104 schema:givenName Adnan
105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075536672.19
106 rdf:type schema:Person
107 sg:person.013244210707.24 schema:affiliation https://www.grid.ac/institutes/grid.62560.37
108 schema:familyName Mitsouras
109 schema:givenName Dimitrios
110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013244210707.24
111 rdf:type schema:Person
112 sg:person.01351575153.07 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
113 schema:familyName Hodgdon
114 schema:givenName Taryn
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01351575153.07
116 rdf:type schema:Person
117 sg:person.016151721617.43 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
118 schema:familyName Wang
119 schema:givenName Aili
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016151721617.43
121 rdf:type schema:Person
122 sg:person.0642060675.11 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
123 schema:familyName Chepelev
124 schema:givenName Leonid
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642060675.11
126 rdf:type schema:Person
127 sg:person.0647123346.72 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
128 schema:familyName Torres
129 schema:givenName Carlos
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647123346.72
131 rdf:type schema:Person
132 sg:person.0726565255.10 schema:affiliation https://www.grid.ac/institutes/grid.28046.38
133 schema:familyName Krishna
134 schema:givenName Satheesh
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726565255.10
136 rdf:type schema:Person
137 sg:pub.10.1007/s10278-013-9622-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044365820
138 https://doi.org/10.1007/s10278-013-9622-7
139 rdf:type schema:CreativeWork
140 sg:pub.10.1186/s41205-015-0002-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034096729
141 https://doi.org/10.1186/s41205-015-0002-4
142 rdf:type schema:CreativeWork
143 https://app.dimensions.ai/details/publication/pub.1081989826 schema:CreativeWork
144 https://doi.org/10.1002/(sici)1097-0142(19960501)77:9<1823::aid-cncr10>3.0.co;2-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036155009
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1002/(sici)1097-0142(19990415)85:8<1765::aid-cncr17>3.0.co;2-k schema:sameAs https://app.dimensions.ai/details/publication/pub.1016374956
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1002/jso.20972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044877543
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/0360-3016(95)02262-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037301893
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/0741-5214(89)90411-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005235182
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.avsg.2010.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029267556
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.jvs.2008.01.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021394608
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.jvs.2008.11.101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018288028
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/s0741-5214(00)70073-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002745523
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1148/rg.2015140320 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079178736
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1510/icvts.2009.218305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020238552
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1586/era.09.76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001624970
167 rdf:type schema:CreativeWork
168 https://www.grid.ac/institutes/grid.28046.38 schema:alternateName University of Ottawa
169 schema:name Faculty of Medicine, University of Ottawa, Ottawa, Canada
170 The Ottawa Hospital Research Institute and the Department of Radiology, University of Ottawa, 501 Smyth Road, Box 232, K1H 8L6, Ottawa, Ontario, Canada
171 rdf:type schema:Organization
172 https://www.grid.ac/institutes/grid.62560.37 schema:alternateName Brigham and Women's Hospital
173 schema:name Department of Radiology, Applied Imaging Science Lab, Brigham and Women’s Hospital, Boston, MA, USA
174 rdf:type schema:Organization
 




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


...