{"id":"https://openalex.org/W2044267109","doi":"https://doi.org/10.1109/isbi.2014.6867876","title":"Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework","display_name":"Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2044267109","doi":"https://doi.org/10.1109/isbi.2014.6867876","mag":"2044267109"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6867876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067678921","display_name":"A. Rao","orcid":"https://orcid.org/0000-0001-5178-2725"},"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":"A. Rao","raw_affiliation_strings":["Imperial College London, London, U.K","Imperial College London, London, U.K#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, London, U.K#TAB#","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016912926","display_name":"Christian Ledig","orcid":"https://orcid.org/0000-0003-4862-3138"},"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":"C. Ledig","raw_affiliation_strings":["Imperial College London, London, U.K","Imperial College London, London, U.K#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, London, U.K#TAB#","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066932645","display_name":"Virginia Newcombe","orcid":"https://orcid.org/0000-0001-6044-9035"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"V. Newcombe","raw_affiliation_strings":["University of Cambridge, Cambridge, U.K","Univ. of Cambridge, Cambridge, U.K.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Univ. of Cambridge, Cambridge, U.K.#TAB#","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057778218","display_name":"David Menon","orcid":"https://orcid.org/0000-0002-3228-9692"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"D. Menon","raw_affiliation_strings":["University of Cambridge, Cambridge, U.K","Univ. of Cambridge, Cambridge, U.K.#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Univ. of Cambridge, Cambridge, U.K.#TAB#","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","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":"D. Rueckert","raw_affiliation_strings":["Imperial College London, London, U.K","Imperial College London, London, U.K#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Imperial College London, London, U.K#TAB#","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8015,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83389145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"333","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10706","display_name":"Traumatic Brain Injury and Neurovascular Disturbances","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10416","display_name":"Traumatic Brain Injury Research","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7790085673332214},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7494820356369019},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6950821876525879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676551103591919},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6542331576347351},{"id":"https://openalex.org/keywords/traumatic-brain-injury","display_name":"Traumatic brain injury","score":0.5751292109489441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5712920427322388},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4823126792907715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46465960144996643},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30608993768692017}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7790085673332214},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7494820356369019},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6950821876525879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676551103591919},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6542331576347351},{"id":"https://openalex.org/C2781017439","wikidata":"https://www.wikidata.org/wiki/Q1995526","display_name":"Traumatic brain injury","level":2,"score":0.5751292109489441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712920427322388},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4823126792907715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46465960144996643},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30608993768692017},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2014.6867876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1524094261","https://openalex.org/W1549083695","https://openalex.org/W1594031697","https://openalex.org/W2028094999","https://openalex.org/W2077927847","https://openalex.org/W2105456967","https://openalex.org/W2117340355","https://openalex.org/W2911964244","https://openalex.org/W2977883299","https://openalex.org/W6631380489"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W1998563493","https://openalex.org/W3193043704","https://openalex.org/W4306164210","https://openalex.org/W4386259002","https://openalex.org/W4313316311","https://openalex.org/W1546989560"],"abstract_inverted_index":{"Traumatic":[0],"Brain":[1],"Injury":[2],"(TBI)":[3],"occurs":[4],"when":[5],"a":[6,34,83,97,106,162,169],"sudden":[7],"injury":[8],"causes":[9],"trauma":[10],"to":[11,57,89,143],"the":[12,18,55,118,126,137,156],"brain.":[13],"Contusions":[14],"are":[15,65],"one":[16],"of":[17,22,68,100,108,149,165,173],"most":[19],"common":[20],"types":[21],"lesion":[23],"that":[24,43,73,92,115],"arise":[25],"after":[26],"TBI,":[27,54],"and":[28,103,121,136,141],"they":[29],"can":[30],"be":[31,50],"observed":[32],"on":[33,161],"subject's":[35],"MRI":[36],"or":[37],"CT.":[38],"Since":[39],"it":[40],"is":[41,60,110,131],"hypothesised":[42],"indices":[44],"such":[45],"as":[46],"contusion":[47,90,147],"load":[48],"may":[49],"potential":[51],"biomarkers":[52],"for":[53,112],"ability":[56],"segment":[58],"contusions":[59],"highly":[61],"desirable.":[62],"Currently,":[63],"we":[64,81],"not":[66],"aware":[67],"any":[69],"fully":[70],"automated":[71,85],"methods":[72],"address":[74],"this":[75,79],"segmentation":[76,91,148],"task.":[77],"In":[78],"paper":[80],"present":[82],"completely":[84],"random-forest":[86],"based":[87],"approach":[88],"uses":[93],"multi-modality":[94],"MRI.":[95],"Given":[96],"training":[98],"set":[99,107],"MR":[101],"images":[102],"ground-truth":[104,138],"segmentations,":[105],"features":[109,135],"derived":[111],"each":[113],"voxel":[114,139],"describe":[116],"both":[117],"local":[119],"neighbourhood":[120],"longer-range":[122],"contextual":[123],"information":[124],"in":[125],"images.":[127],"A":[128],"random":[129],"forest":[130],"trained":[132],"using":[133,158],"these":[134],"labels,":[140],"used":[142],"produce":[144],"an":[145,150],"automatic":[146],"unseen":[151],"test":[152],"subject.":[153],"We":[154],"evaluate":[155],"method":[157],"6-fold":[159],"cross-validation":[160],"dataset":[163],"consisting":[164],"23":[166],"subjects,":[167],"obtaining":[168],"mean":[170],"DICE":[171],"overlap":[172],"0.60.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
