{"id":"https://openalex.org/W2054422278","doi":"https://doi.org/10.1109/tmi.2015.2418298","title":"Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion","display_name":"Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion","publication_year":2015,"publication_date":"2015-04-14","ids":{"openalex":"https://openalex.org/W2054422278","doi":"https://doi.org/10.1109/tmi.2015.2418298","mag":"2054422278","pmid":"https://pubmed.ncbi.nlm.nih.gov/25879909"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2015.2418298","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2015.2418298","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tmi.2015.2418298","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077080413","display_name":"M. Jorge Cardoso","orcid":"https://orcid.org/0000-0003-1284-2558"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. Jorge Cardoso","raw_affiliation_strings":["Translational Imaging Group, Centre for Medical Image Computing (CMIC), UK","University College London, Institute of Neurology, UK"],"raw_orcid":"https://orcid.org/0000-0003-1284-2558","affiliations":[{"raw_affiliation_string":"Translational Imaging Group, Centre for Medical Image Computing (CMIC), UK","institution_ids":[]},{"raw_affiliation_string":"University College London, Institute of Neurology, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018652821","display_name":"Marc Modat","orcid":"https://orcid.org/0000-0002-5277-8530"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marc Modat","raw_affiliation_strings":["Translational Imaging Group, Centre for Medical Image Computing (CMIC), UK","University College London, Institute of Neurology, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Translational Imaging Group, Centre for Medical Image Computing (CMIC), UK","institution_ids":[]},{"raw_affiliation_string":"University College London, Institute of Neurology, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107826063","display_name":"Robin Wolz","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Robin Wolz","raw_affiliation_strings":["Biomedical Image Analysis (BioMedIA) Group, Imperial College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis (BioMedIA) Group, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035099926","display_name":"Andrew Melbourne","orcid":"https://orcid.org/0000-0001-7667-3947"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Melbourne","raw_affiliation_strings":["Translational Imaging Group, Centre for Medical Image Computing (CMIC), UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Translational Imaging Group, Centre for Medical Image Computing (CMIC), UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042212695","display_name":"David M. Cash","orcid":"https://orcid.org/0000-0001-7833-616X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Cash","raw_affiliation_strings":["University College London, Institute of Neurology, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, Institute of Neurology, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006461848","display_name":"Daniel Rueckert","orcid":"https://orcid.org/0000-0002-5683-5889"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel Rueckert","raw_affiliation_strings":["Biomedical Image Analysis (BioMedIA) Group, Imperial College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Image Analysis (BioMedIA) Group, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082106258","display_name":"S\u00e9bastien Ourselin","orcid":"https://orcid.org/0000-0002-5694-5340"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sebastien Ourselin","raw_affiliation_strings":["Translational Imaging Group, Centre for Medical Image Computing (CMIC), UK","University College London, Institute of Neurology, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Translational Imaging Group, Centre for Medical Image Computing (CMIC), UK","institution_ids":[]},{"raw_affiliation_string":"University College London, Institute of Neurology, UK","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.2781,"has_fulltext":true,"cited_by_count":363,"citation_normalized_percentile":{"value":0.99407298,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"34","issue":"9","first_page":"1976","last_page":"1988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316529154777527},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7102977633476257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6958678960800171},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6938267946243286},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6843433380126953},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6760923266410828},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5918372869491577},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.4584493339061737},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45304301381111145},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41270166635513306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35516881942749023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19097912311553955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17823666334152222},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10868340730667114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316529154777527},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7102977633476257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6958678960800171},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6938267946243286},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6843433380126953},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6760923266410828},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5918372869491577},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.4584493339061737},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45304301381111145},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41270166635513306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35516881942749023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19097912311553955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17823666334152222},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10868340730667114},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1109/tmi.2015.2418298","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2015.2418298","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:25879909","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25879909","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/5a76f51a-d62a-42fe-9c42-973662bc87f9","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/5a76f51a-d62a-42fe-9c42-973662bc87f9","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/143113292/Geodesic_Information_Flows_CARDOSO_Publishedonline14April2015_GOLD_VoR_CC_BY_.pdf","source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cardoso, M J, Modat, M, Wolz, R, Melbourne, A, Cash, D, Rueckert, D & Ourselin, S 2015, 'Geodesic Information Flows : Spatially-Variant Graphs and Their Application to Segmentation and Fusion', IEEE Transactions on Medical Imaging, vol. 34, no. 9, 7086081, pp. 1976-1988. https://doi.org/10.1109/TMI.2015.2418298","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1466784","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/1466784/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging , 34 (9) pp. 1976-1988. (2015)","raw_type":"Article"},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/30755","is_oa":true,"landing_page_url":"http://hdl.handle.net/10044/1/30755","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"1988","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1109/tmi.2015.2418298","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2015.2418298","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1074010309","display_name":null,"funder_award_id":"EP/H046410/1, EP/J020990/1, EP/K005278","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1238216143","display_name":null,"funder_award_id":"mn.BRC10269","funder_id":"https://openalex.org/F4320319990","funder_display_name":"National Institute for Health and Care Research"},{"id":"https://openalex.org/G150562299","display_name":null,"funder_award_id":"EP/H046410","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1737639950","display_name":null,"funder_award_id":"EP/K005278","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1775974636","display_name":null,"funder_award_id":"H046410","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1852290088","display_name":null,"funder_award_id":"MR/J01107X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1910368662","display_name":null,"funder_award_id":"BW.mn.BRC10269","funder_id":"https://openalex.org/F4320320286","funder_display_name":"University College London"},{"id":"https://openalex.org/G2145614116","display_name":null,"funder_award_id":"EP/J020990/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2203972493","display_name":null,"funder_award_id":"FP7 ICT","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2325242462","display_name":null,"funder_award_id":"EU-FP7","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2493457651","display_name":"VPH Dementia Research Enabled by IT","funder_award_id":"601055","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3126617770","display_name":null,"funder_award_id":"EP/J020990/1","funder_id":"https://openalex.org/F4320320286","funder_display_name":"University College London"},{"id":"https://openalex.org/G3959461325","display_name":"Intelligent Imaging: Motion, Form and Function Across Scale","funder_award_id":"EP/H046410/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4065409414","display_name":null,"funder_award_id":"MR/J01107X/","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G4171234563","display_name":"Computational models of neurodegenerative disease progression","funder_award_id":"EP/J020990/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G422312149","display_name":null,"funder_award_id":"EP/H046410/1","funder_id":"https://openalex.org/F4320320286","funder_display_name":"University College London"},{"id":"https://openalex.org/G4358921014","display_name":null,"funder_award_id":"ICT-2011","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4421367155","display_name":null,"funder_award_id":"FP7\u2010ICT\u20102011\u20109\u2010601055","funder_id":"https://openalex.org/F4320338370","funder_display_name":"FP7 Information and Communication Technologies"},{"id":"https://openalex.org/G4811888002","display_name":null,"funder_award_id":"FP7-ICT-2011-9","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5814724622","display_name":null,"funder_award_id":"FP7-ICT-2011-9-601055","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G630566656","display_name":null,"funder_award_id":"BW.MN.BRC10269","funder_id":"https://openalex.org/F4320319990","funder_display_name":"National Institute for Health and Care Research"},{"id":"https://openalex.org/G6496510108","display_name":null,"funder_award_id":"J020990","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6800468499","display_name":null,"funder_award_id":"MR/J01107X/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G7162635584","display_name":null,"funder_award_id":"NIHR BRC UCLH/UCL High Impact Initiative-BW.mn.BRC10269","funder_id":"https://openalex.org/F4320319990","funder_display_name":"National Institute for Health and Care Research"},{"id":"https://openalex.org/G748345579","display_name":null,"funder_award_id":"FP7\u2010ICT\u20102011","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7486377412","display_name":null,"funder_award_id":"EP/H046410/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7697514025","display_name":null,"funder_award_id":"PR/ylr/18575","funder_id":"https://openalex.org/F4320320286","funder_display_name":"University College London"},{"id":"https://openalex.org/G8642393552","display_name":null,"funder_award_id":"EP/K005278","funder_id":"https://openalex.org/F4320320286","funder_display_name":"University College London"},{"id":"https://openalex.org/G8866806938","display_name":"EPICure@19 - the extremely preterm young adult","funder_award_id":"MR/J01107X/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320319841","display_name":"Alzheimer's Research Trust","ror":"https://ror.org/02ymzm013"},{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320320072","display_name":"Brain Research Trust","ror":"https://ror.org/04q4ck618"},{"id":"https://openalex.org/F4320320286","display_name":"University College London","ror":"https://ror.org/02jx3x895"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320325311","display_name":"University College London Hospitals NHS Foundation Trust","ror":"https://ror.org/042fqyp44"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320338370","display_name":"FP7 Information and Communication Technologies","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W47378295","https://openalex.org/W56600673","https://openalex.org/W94826918","https://openalex.org/W1511160855","https://openalex.org/W1720771030","https://openalex.org/W1836835411","https://openalex.org/W1969803895","https://openalex.org/W1970798317","https://openalex.org/W2000716207","https://openalex.org/W2001469430","https://openalex.org/W2006554089","https://openalex.org/W2015897296","https://openalex.org/W2024782313","https://openalex.org/W2026076999","https://openalex.org/W2057332541","https://openalex.org/W2058827966","https://openalex.org/W2065562224","https://openalex.org/W2068897382","https://openalex.org/W2107011987","https://openalex.org/W2107956652","https://openalex.org/W2108759471","https://openalex.org/W2111677918","https://openalex.org/W2118336724","https://openalex.org/W2130686832","https://openalex.org/W2133086277","https://openalex.org/W2134495751","https://openalex.org/W2135535334","https://openalex.org/W2142456468","https://openalex.org/W2148347694","https://openalex.org/W2150534249","https://openalex.org/W2158305599","https://openalex.org/W2162403881","https://openalex.org/W2180031803","https://openalex.org/W2191637929","https://openalex.org/W6630631696"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W4386799044","https://openalex.org/W2773208253","https://openalex.org/W1978591761","https://openalex.org/W4287661821","https://openalex.org/W3133864228","https://openalex.org/W2560646951","https://openalex.org/W3167885074","https://openalex.org/W2028211458"],"abstract_inverted_index":{"Clinical":[0],"annotations,":[1,34],"such":[2],"as":[3],"voxel-wise":[4,55],"binary":[5],"or":[6],"probabilistic":[7,125,158],"tissue":[8,122,159],"segmentations,":[9],"structural":[10],"parcellations,":[11],"pathological":[12],"regions-of-interest":[13],"and":[14,40,63,121,164],"anatomical":[15],"landmarks":[16],"are":[17],"key":[18],"to":[19,25,37,42,53,92,133,144,157],"many":[20],"clinical":[21],"studies.":[22],"However,":[23],"due":[24],"the":[26,65,87,94,98,106,109,130,154,169],"time":[27],"consuming":[28],"nature":[29],"of":[30,45,84,90,100,108,129,161,171],"manually":[31],"generating":[32],"these":[33],"they":[35],"tend":[36],"be":[38],"scarce":[39],"limited":[41],"small":[43],"subsets":[44],"data.":[46],"This":[47],"work":[48],"explores":[49],"a":[50,82],"novel":[51],"framework":[52,111,156],"propagate":[54],"annotations":[56],"between":[57],"morphologically":[58,76],"dissimilar":[59],"images":[60],"by":[61],"diffusing":[62],"mapping":[64],"available":[66],"examples":[67],"through":[68],"intermediate":[69],"steps.":[70],"A":[71],"spatially-variant":[72],"graph":[73],"structure":[74],"connecting":[75],"similar":[77],"subjects":[78],"is":[79],"introduced":[80],"over":[81],"database":[83],"images,":[85],"enabling":[86],"gradual":[88],"diffusion":[89],"information":[91],"all":[93],"subjects,":[95],"even":[96],"in":[97,168],"presence":[99,170],"large-scale":[101],"morphological":[102,173],"variability.":[103,174],"We":[104],"illustrate":[105],"utility":[107],"proposed":[110,131,155],"on":[112],"two":[113],"example":[114],"applications:":[115],"brain":[116],"parcellation":[117],"using":[118,124],"categorical":[119,134],"labels":[120],"segmentation":[123,160],"features.":[126],"The":[127],"application":[128],"method":[132],"label":[135],"fusion":[136],"showed":[137],"highly":[138],"statistically":[139],"significant":[140],"improvements":[141,148],"when":[142,152],"compared":[143],"state-of-the-art":[145],"methodologies.":[146],"Significant":[147],"were":[149],"also":[150],"observed":[151],"applying":[153],"both":[162],"synthetic":[163],"real":[165],"data,":[166],"mainly":[167],"large":[172]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":35},{"year":2023,"cited_by_count":38},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":52},{"year":2020,"cited_by_count":53},{"year":2019,"cited_by_count":47},{"year":2018,"cited_by_count":34},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}