Geodesic Patch-Based Segmentation View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Zehan Wang , Kanwal K. Bhatia , Ben Glocker , Antonio Marvao , Tim Dawes , Kazunari Misawa , Kensaku Mori , Daniel Rueckert

ABSTRACT

Label propagation has been shown to be effective in many automatic segmentation applications. However, its reliance on accurate image alignment means that segmentation results can be affected by any registration errors which occur. Patch-based methods relax this dependence by avoiding explicit one-to-one correspondence assumptions between images but are still limited by the search window size. Too small, and it does not account for enough registration error; too big, and it becomes more likely to select incorrect patches of similar appearance for label fusion. This paper presents a novel patch-based label propagation approach which uses relative geodesic distances to define patient-specific coordinate systems as spatial context to overcome this problem. The approach is evaluated on multi-organ segmentation of 20 cardiac MR images and 100 abdominal CT images, demonstrating competitive results. More... »

PAGES

666-73

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-10404-1_83

DOI

http://dx.doi.org/10.1007/978-3-319-10404-1_83

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028311920

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25333176


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Enhancement", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pattern Recognition, Automated", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Subtraction Technique", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Zehan", 
        "id": "sg:person.01263365352.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263365352.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bhatia", 
        "givenName": "Kanwal K.", 
        "id": "sg:person.0622070735.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622070735.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Glocker", 
        "givenName": "Ben", 
        "id": "sg:person.0630450752.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630450752.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Institute of Clinical Sciences, Imperial College London, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marvao", 
        "givenName": "Antonio", 
        "id": "sg:person.01256715552.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256715552.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Institute of Clinical Sciences, Imperial College London, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dawes", 
        "givenName": "Tim", 
        "id": "sg:person.0714760342.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714760342.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Aichi Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.410800.d", 
          "name": [
            "Aichi Cancer Center, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Misawa", 
        "givenName": "Kazunari", 
        "id": "sg:person.0622016477.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622016477.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nagoya University", 
          "id": "https://www.grid.ac/institutes/grid.27476.30", 
          "name": [
            "Department of Media Science, Nagoya University, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mori", 
        "givenName": "Kensaku", 
        "id": "sg:person.01067276221.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067276221.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rueckert", 
        "givenName": "Daniel", 
        "id": "sg:person.01055135131.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055135131.87"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2010.09.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004205493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-8655(96)00010-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008511207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.media.2013.04.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010613675"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-88688-4_27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020099768", 
          "https://doi.org/10.1007/978-3-540-88688-4_27"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-88688-4_27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020099768", 
          "https://doi.org/10.1007/978-3-540-88688-4_27"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-33765-9_62", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021375191", 
          "https://doi.org/10.1007/978-3-642-33765-9_62"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2003.11.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021881711"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2011.09.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023640242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-02267-3_13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035508271", 
          "https://doi.org/10.1007/978-3-319-02267-3_13"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2009.02.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037797190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroimage.2006.05.061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047002285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-88682-2_9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047173815", 
          "https://doi.org/10.1007/978-3-540-88682-2_9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-540-88682-2_9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047173815", 
          "https://doi.org/10.1007/978-3-540-88682-2_9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-40760-4_9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047427184", 
          "https://doi.org/10.1007/978-3-642-40760-4_9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-36620-8_10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052842143", 
          "https://doi.org/10.1007/978-3-642-36620-8_10"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/34.969114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061157335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmi.2011.2156806", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061695755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tmi.2013.2265805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061696121"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014", 
    "datePublishedReg": "2014-01-01", 
    "description": "Label propagation has been shown to be effective in many automatic segmentation applications. However, its reliance on accurate image alignment means that segmentation results can be affected by any registration errors which occur. Patch-based methods relax this dependence by avoiding explicit one-to-one correspondence assumptions between images but are still limited by the search window size. Too small, and it does not account for enough registration error; too big, and it becomes more likely to select incorrect patches of similar appearance for label fusion. This paper presents a novel patch-based label propagation approach which uses relative geodesic distances to define patient-specific coordinate systems as spatial context to overcome this problem. The approach is evaluated on multi-organ segmentation of 20 cardiac MR images and 100 abdominal CT images, demonstrating competitive results.", 
    "editor": [
      {
        "familyName": "Golland", 
        "givenName": "Polina", 
        "type": "Person"
      }, 
      {
        "familyName": "Hata", 
        "givenName": "Nobuhiko", 
        "type": "Person"
      }, 
      {
        "familyName": "Barillot", 
        "givenName": "Christian", 
        "type": "Person"
      }, 
      {
        "familyName": "Hornegger", 
        "givenName": "Joachim", 
        "type": "Person"
      }, 
      {
        "familyName": "Howe", 
        "givenName": "Robert", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-319-10404-1_83", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-319-10403-4", 
        "978-3-319-10404-1"
      ], 
      "name": "Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014", 
      "type": "Book"
    }, 
    "name": "Geodesic Patch-Based Segmentation", 
    "pagination": "666-73", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-319-10404-1_83"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "86df6aa5b1c5858a3b596ee634513907364cb339277697134b247c32d68c1ee4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1028311920"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25333176"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-319-10404-1_83", 
      "https://app.dimensions.ai/details/publication/pub.1028311920"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T21:08", 
    "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_8690_00000298.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-319-10404-1_83"
  }
]
 

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.10.1007/978-3-319-10404-1_83'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-10404-1_83'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-10404-1_83'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-10404-1_83'


 

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

231 TRIPLES      23 PREDICATES      52 URIs      29 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-319-10404-1_83 schema:about N199bf8b0aeeb4d06abfd244a32e24158
2 N45222db5ad844e1ea75889856d0c278c
3 N780b9ddbd3c74c97bc4361bedd4e5fd5
4 N82fde4c11cc840f4b4cc2efbd8b51303
5 N8f38376a831d4af78c647d7f488ada2d
6 Nd2092e6470c742879a2e39dcdfe8cab3
7 Ne97abcbfdb1744d2ae8e8edf00058c5f
8 Nfe3eca2104554f138277439c89ce0381
9 anzsrc-for:08
10 anzsrc-for:0801
11 schema:author Nc47cd0af4e1c42c78636672d527f0d3a
12 schema:citation sg:pub.10.1007/978-3-319-02267-3_13
13 sg:pub.10.1007/978-3-540-88682-2_9
14 sg:pub.10.1007/978-3-540-88688-4_27
15 sg:pub.10.1007/978-3-642-33765-9_62
16 sg:pub.10.1007/978-3-642-36620-8_10
17 sg:pub.10.1007/978-3-642-40760-4_9
18 https://doi.org/10.1016/0167-8655(96)00010-4
19 https://doi.org/10.1016/j.media.2013.04.013
20 https://doi.org/10.1016/j.neuroimage.2003.11.010
21 https://doi.org/10.1016/j.neuroimage.2006.05.061
22 https://doi.org/10.1016/j.neuroimage.2009.02.018
23 https://doi.org/10.1016/j.neuroimage.2010.09.018
24 https://doi.org/10.1016/j.neuroimage.2011.09.012
25 https://doi.org/10.1109/34.969114
26 https://doi.org/10.1109/tmi.2011.2156806
27 https://doi.org/10.1109/tmi.2013.2265805
28 schema:datePublished 2014
29 schema:datePublishedReg 2014-01-01
30 schema:description Label propagation has been shown to be effective in many automatic segmentation applications. However, its reliance on accurate image alignment means that segmentation results can be affected by any registration errors which occur. Patch-based methods relax this dependence by avoiding explicit one-to-one correspondence assumptions between images but are still limited by the search window size. Too small, and it does not account for enough registration error; too big, and it becomes more likely to select incorrect patches of similar appearance for label fusion. This paper presents a novel patch-based label propagation approach which uses relative geodesic distances to define patient-specific coordinate systems as spatial context to overcome this problem. The approach is evaluated on multi-organ segmentation of 20 cardiac MR images and 100 abdominal CT images, demonstrating competitive results.
31 schema:editor Na41e5b9156674420b702df384211f571
32 schema:genre chapter
33 schema:inLanguage en
34 schema:isAccessibleForFree false
35 schema:isPartOf Ndfa982ecdc444e1285f5a2709a2938b9
36 schema:name Geodesic Patch-Based Segmentation
37 schema:pagination 666-73
38 schema:productId N12fa39cedbb34d4ca8958019435feeab
39 N5e0433d1bd7c4415a4319473c8947a5d
40 N7a4a78cb598d46b8a16a77629bc0dca3
41 N85beed887f404e2392216c913c259996
42 schema:publisher N5e33cfd5b27045e2b8abe987ca41dd4a
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028311920
44 https://doi.org/10.1007/978-3-319-10404-1_83
45 schema:sdDatePublished 2019-04-15T21:08
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N142c0e4e28ae446495e134a403f4cbfa
48 schema:url http://link.springer.com/10.1007/978-3-319-10404-1_83
49 sgo:license sg:explorer/license/
50 sgo:sdDataset chapters
51 rdf:type schema:Chapter
52 N083a536a56704622ad474ea8d1edbd6d schema:familyName Golland
53 schema:givenName Polina
54 rdf:type schema:Person
55 N12fa39cedbb34d4ca8958019435feeab schema:name dimensions_id
56 schema:value pub.1028311920
57 rdf:type schema:PropertyValue
58 N142c0e4e28ae446495e134a403f4cbfa schema:name Springer Nature - SN SciGraph project
59 rdf:type schema:Organization
60 N199bf8b0aeeb4d06abfd244a32e24158 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
61 schema:name Sensitivity and Specificity
62 rdf:type schema:DefinedTerm
63 N1c34fc6691444a3e97cca3169448543d rdf:first sg:person.01067276221.53
64 rdf:rest Nc75d8de20c0d47438f4bc3129b37d0d4
65 N318b62d30ca24c3ea2daf00229009851 schema:familyName Hornegger
66 schema:givenName Joachim
67 rdf:type schema:Person
68 N32836eeaf57242eab975ccccf99187c8 rdf:first Nf515eff70d3e47a9ae8a786d9db96969
69 rdf:rest N74620c82070e460e953ed78027e45168
70 N4172bbd308e941b1a64d39fdb7ac5ff7 rdf:first sg:person.0622016477.61
71 rdf:rest N1c34fc6691444a3e97cca3169448543d
72 N45222db5ad844e1ea75889856d0c278c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Subtraction Technique
74 rdf:type schema:DefinedTerm
75 N5e0433d1bd7c4415a4319473c8947a5d schema:name doi
76 schema:value 10.1007/978-3-319-10404-1_83
77 rdf:type schema:PropertyValue
78 N5e33cfd5b27045e2b8abe987ca41dd4a schema:location Cham
79 schema:name Springer International Publishing
80 rdf:type schema:Organisation
81 N678ff5c6acd946b8afb23a935f6f51e9 rdf:first sg:person.01256715552.24
82 rdf:rest N79e2cee79a654b3fa08c411a6e172287
83 N6ac2e3c4328f41018ce6a8c006b0a8d1 rdf:first sg:person.0622070735.61
84 rdf:rest N89d8bd69ff2f48998814afadc211de18
85 N74620c82070e460e953ed78027e45168 rdf:first N318b62d30ca24c3ea2daf00229009851
86 rdf:rest Nedcbf6b987d74c73a6f407619d55194d
87 N780b9ddbd3c74c97bc4361bedd4e5fd5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Image Enhancement
89 rdf:type schema:DefinedTerm
90 N79e2cee79a654b3fa08c411a6e172287 rdf:first sg:person.0714760342.05
91 rdf:rest N4172bbd308e941b1a64d39fdb7ac5ff7
92 N7a4a78cb598d46b8a16a77629bc0dca3 schema:name readcube_id
93 schema:value 86df6aa5b1c5858a3b596ee634513907364cb339277697134b247c32d68c1ee4
94 rdf:type schema:PropertyValue
95 N82fde4c11cc840f4b4cc2efbd8b51303 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Image Interpretation, Computer-Assisted
97 rdf:type schema:DefinedTerm
98 N85beed887f404e2392216c913c259996 schema:name pubmed_id
99 schema:value 25333176
100 rdf:type schema:PropertyValue
101 N89d8bd69ff2f48998814afadc211de18 rdf:first sg:person.0630450752.44
102 rdf:rest N678ff5c6acd946b8afb23a935f6f51e9
103 N8f38376a831d4af78c647d7f488ada2d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Reproducibility of Results
105 rdf:type schema:DefinedTerm
106 N9f5ccda95ca247fea33c33185b09bff2 schema:familyName Hata
107 schema:givenName Nobuhiko
108 rdf:type schema:Person
109 Na1b390a4d79b4968a77e8bf44f821731 schema:familyName Howe
110 schema:givenName Robert
111 rdf:type schema:Person
112 Na41e5b9156674420b702df384211f571 rdf:first N083a536a56704622ad474ea8d1edbd6d
113 rdf:rest Ne645f86124e84d2a8bc2fe259ed3ebd0
114 Nc47cd0af4e1c42c78636672d527f0d3a rdf:first sg:person.01263365352.46
115 rdf:rest N6ac2e3c4328f41018ce6a8c006b0a8d1
116 Nc75d8de20c0d47438f4bc3129b37d0d4 rdf:first sg:person.01055135131.87
117 rdf:rest rdf:nil
118 Nd2092e6470c742879a2e39dcdfe8cab3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Pattern Recognition, Automated
120 rdf:type schema:DefinedTerm
121 Ndfa982ecdc444e1285f5a2709a2938b9 schema:isbn 978-3-319-10403-4
122 978-3-319-10404-1
123 schema:name Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014
124 rdf:type schema:Book
125 Ne645f86124e84d2a8bc2fe259ed3ebd0 rdf:first N9f5ccda95ca247fea33c33185b09bff2
126 rdf:rest N32836eeaf57242eab975ccccf99187c8
127 Ne97abcbfdb1744d2ae8e8edf00058c5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Humans
129 rdf:type schema:DefinedTerm
130 Nedcbf6b987d74c73a6f407619d55194d rdf:first Na1b390a4d79b4968a77e8bf44f821731
131 rdf:rest rdf:nil
132 Nf515eff70d3e47a9ae8a786d9db96969 schema:familyName Barillot
133 schema:givenName Christian
134 rdf:type schema:Person
135 Nfe3eca2104554f138277439c89ce0381 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Algorithms
137 rdf:type schema:DefinedTerm
138 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
139 schema:name Information and Computing Sciences
140 rdf:type schema:DefinedTerm
141 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
142 schema:name Artificial Intelligence and Image Processing
143 rdf:type schema:DefinedTerm
144 sg:person.01055135131.87 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
145 schema:familyName Rueckert
146 schema:givenName Daniel
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055135131.87
148 rdf:type schema:Person
149 sg:person.01067276221.53 schema:affiliation https://www.grid.ac/institutes/grid.27476.30
150 schema:familyName Mori
151 schema:givenName Kensaku
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067276221.53
153 rdf:type schema:Person
154 sg:person.01256715552.24 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
155 schema:familyName Marvao
156 schema:givenName Antonio
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256715552.24
158 rdf:type schema:Person
159 sg:person.01263365352.46 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
160 schema:familyName Wang
161 schema:givenName Zehan
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263365352.46
163 rdf:type schema:Person
164 sg:person.0622016477.61 schema:affiliation https://www.grid.ac/institutes/grid.410800.d
165 schema:familyName Misawa
166 schema:givenName Kazunari
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622016477.61
168 rdf:type schema:Person
169 sg:person.0622070735.61 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
170 schema:familyName Bhatia
171 schema:givenName Kanwal K.
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622070735.61
173 rdf:type schema:Person
174 sg:person.0630450752.44 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
175 schema:familyName Glocker
176 schema:givenName Ben
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630450752.44
178 rdf:type schema:Person
179 sg:person.0714760342.05 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
180 schema:familyName Dawes
181 schema:givenName Tim
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714760342.05
183 rdf:type schema:Person
184 sg:pub.10.1007/978-3-319-02267-3_13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035508271
185 https://doi.org/10.1007/978-3-319-02267-3_13
186 rdf:type schema:CreativeWork
187 sg:pub.10.1007/978-3-540-88682-2_9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047173815
188 https://doi.org/10.1007/978-3-540-88682-2_9
189 rdf:type schema:CreativeWork
190 sg:pub.10.1007/978-3-540-88688-4_27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020099768
191 https://doi.org/10.1007/978-3-540-88688-4_27
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/978-3-642-33765-9_62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021375191
194 https://doi.org/10.1007/978-3-642-33765-9_62
195 rdf:type schema:CreativeWork
196 sg:pub.10.1007/978-3-642-36620-8_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052842143
197 https://doi.org/10.1007/978-3-642-36620-8_10
198 rdf:type schema:CreativeWork
199 sg:pub.10.1007/978-3-642-40760-4_9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047427184
200 https://doi.org/10.1007/978-3-642-40760-4_9
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/0167-8655(96)00010-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008511207
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.media.2013.04.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010613675
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.neuroimage.2003.11.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021881711
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.neuroimage.2006.05.061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047002285
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.neuroimage.2009.02.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037797190
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.neuroimage.2010.09.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004205493
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/j.neuroimage.2011.09.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023640242
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1109/34.969114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061157335
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1109/tmi.2011.2156806 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061695755
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1109/tmi.2013.2265805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061696121
221 rdf:type schema:CreativeWork
222 https://www.grid.ac/institutes/grid.27476.30 schema:alternateName Nagoya University
223 schema:name Department of Media Science, Nagoya University, Nagoya, Japan
224 rdf:type schema:Organization
225 https://www.grid.ac/institutes/grid.410800.d schema:alternateName Aichi Cancer Center
226 schema:name Aichi Cancer Center, Nagoya, Japan
227 rdf:type schema:Organization
228 https://www.grid.ac/institutes/grid.7445.2 schema:alternateName Imperial College London
229 schema:name Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, UK
230 Institute of Clinical Sciences, Imperial College London, London, UK
231 rdf:type schema:Organization
 




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


...