{"id":"https://openalex.org/W1493887002","doi":null,"title":"Automated hippocampal location and extraction","display_name":"Automated hippocampal location and extraction","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1493887002","mag":"1493887002"},"language":"en","primary_location":{"id":"pmh:oai:era.ed.ac.uk:1842/4434","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1842/4434","pdf_url":"http://hdl.handle.net/1842/4434","source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis or Dissertation"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1842/4434","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044950542","display_name":"Heidi M. Bonnici","orcid":"https://orcid.org/0000-0003-4353-2667","observed_orcids":["https://orcid.org/0000-0003-4353-2667"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Heidi M. Bonnici","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4353-2667","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5044950542"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.0003000000142492354,"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/T14510","display_name":"Medical Imaging and Analysis","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hippocampus","display_name":"hippocampus","score":0.7459999918937683},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"region of interest","score":0.6290000081062317},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"fuzzy inference","score":0.9950000047683716},{"id":"https://openalex.org/keywords/inter-rater-reliability","display_name":"inter-rater reliability","score":0.875},{"id":"https://openalex.org/keywords/test-retest-reliability","display_name":"test-retest reliability","score":0.699999988079071},{"id":"https://openalex.org/keywords/t1-weighted-mri","display_name":"T1-weighted imaging","score":0.7870000004768372},{"id":"https://openalex.org/keywords/neuropsychiatric-disorders","display_name":"neuropsychiatric disorders","score":0.8209999799728394}],"concepts":[{"id":"https://openalex.org/C148762608","wikidata":"https://www.wikidata.org/wiki/Q3748185","display_name":"Hippocampal formation","level":2,"score":0.5855191946029663},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4519127309322357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3487285375595093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33934342861175537},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3390084505081177},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24750259518623352},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.22749650478363037},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.14531159400939941},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13948094844818115}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:era.ed.ac.uk:1842/4434","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1842/4434","pdf_url":"http://hdl.handle.net/1842/4434","source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis or Dissertation"},{"id":"pmh:hdl:10068/998755","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10068/998755","pdf_url":null,"source":{"id":"https://openalex.org/S4377196900","display_name":"OpenGrey (Institut de l'Information Scientifique et Technique)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1295345811","host_organization_name":"Institut de l'Information Scientifique et Technique","host_organization_lineage":["https://openalex.org/I1295345811"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"U - Thesis"},{"id":"mag:1493887002","doi":null,"is_oa":false,"landing_page_url":"https://era.ed.ac.uk/handle/1842/4434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:era.ed.ac.uk:1842/4434","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1842/4434","pdf_url":"http://hdl.handle.net/1842/4434","source":{"id":"https://openalex.org/S7407055182","display_name":"ERA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis or Dissertation"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1493887002.pdf","grobid_xml":"https://content.openalex.org/works/W1493887002.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1517008319","https://openalex.org/W1519120143","https://openalex.org/W1547919037","https://openalex.org/W1575739010","https://openalex.org/W1596981716","https://openalex.org/W1963855612","https://openalex.org/W1964162654","https://openalex.org/W1970855517","https://openalex.org/W1978794797","https://openalex.org/W1990092982","https://openalex.org/W1993439506","https://openalex.org/W1995297365","https://openalex.org/W1999747923","https://openalex.org/W2004293194","https://openalex.org/W2004582236","https://openalex.org/W2007425389","https://openalex.org/W2008990301","https://openalex.org/W2010001203","https://openalex.org/W2015295663","https://openalex.org/W2017830745","https://openalex.org/W2020790730","https://openalex.org/W2038218396","https://openalex.org/W2042070546","https://openalex.org/W2042419130","https://openalex.org/W2053642078","https://openalex.org/W2053783338","https://openalex.org/W2053848346","https://openalex.org/W2054037636","https://openalex.org/W2060649566","https://openalex.org/W2076518150","https://openalex.org/W2078814832","https://openalex.org/W2079989484","https://openalex.org/W2082182815","https://openalex.org/W2084453479","https://openalex.org/W2088970218","https://openalex.org/W2089017079","https://openalex.org/W2093092963","https://openalex.org/W2100728134","https://openalex.org/W2106160885","https://openalex.org/W2114999955","https://openalex.org/W2115222376","https://openalex.org/W2116281278","https://openalex.org/W2116342892","https://openalex.org/W2118891573","https://openalex.org/W2124588234","https://openalex.org/W2124592837","https://openalex.org/W2129574992","https://openalex.org/W2133054185","https://openalex.org/W2133188546","https://openalex.org/W2139658019","https://openalex.org/W2141543466","https://openalex.org/W2145622106","https://openalex.org/W2149437240","https://openalex.org/W2151639793","https://openalex.org/W2154009237","https://openalex.org/W2154013534","https://openalex.org/W2155492919","https://openalex.org/W2167243682","https://openalex.org/W2171330332","https://openalex.org/W2410446460","https://openalex.org/W2473608088","https://openalex.org/W4237091901"],"related_works":["https://openalex.org/W2115222376","https://openalex.org/W7057449050","https://openalex.org/W2736111586","https://openalex.org/W7095722765","https://openalex.org/W2468698489","https://openalex.org/W2041732401","https://openalex.org/W2753854601","https://openalex.org/W2004582236","https://openalex.org/W2062383826","https://openalex.org/W2089770962"],"abstract_inverted_index":{"The":[0,23,75,166,228],"hippocampus":[1,89,125,208,212,226],"is":[2,13,36,57,81,93,103,136,148,188],"a":[3,96,142,192,246,283,297],"complex":[4],"brain":[5,163,170],"structure":[6,35,43],"that":[7,147,220],"has":[8],"been":[9],"studied":[10],"extensively":[11],"and":[12,67,105,111,132,153,173,180,251,280,302],"subject":[14],"to":[15,59,68,119,150,176,190,202,223,236,268,287],"abnormal":[16],"structural":[17,37],"change":[18,70],"in":[19,26,73,121,245,294],"various":[20],"neuropsychiatric":[21,300],"disorders.":[22],"highest":[24],"definition":[25],"vivo":[27],"method":[28,135],"of":[29,33,52,78,84,87,123,206,231,240,264,282,291,296,299],"visualizing":[30],"the":[31,48,85,88,124,204,207,211,237,241,249,254,262,269,278],"anatomy":[32],"this":[34,232,275],"Magnetic":[38],"Resonance":[39],"Imaging":[40],"(MRI).":[41],"Gross":[42],"can":[44],"be":[45],"assessed":[46],"by":[47],"naked":[49],"eye":[50],"inspection":[51],"MRI":[53,161],"scans":[54,61,164],"but":[55],"measurement":[56,80],"required":[58],"compare":[60],"from":[62,158],"individuals":[63],"within":[64,261],"normal":[65],"ranges,":[66],"assess":[69],"over":[71],"time":[72],"individuals.":[74],"gold":[76],"standard":[77],"such":[79],"manual":[82,238,270],"tracing":[83],"boundaries":[86,213],"on":[90],"scans.":[91],"This":[92,139,185],"known":[94],"as":[95],"Region":[97],"Of":[98],"Interest":[99],"(ROI)":[100],"approach.":[101],"ROI":[102],"laborious":[104],"there":[106],"are":[107,116,199,214],"difficulties":[108,115],"with":[109],"test-retest":[110],"inter-rater":[112],"reliability.":[113],"These":[114,257],"primarily":[117],"due":[118],"uncertainty":[120],"designation":[122],"boundary.":[126],"An":[127],"improved,":[128],"less":[129],"labour":[130],"intensive":[131],"more":[133],"reliable":[134],"clearly":[137],"desirable.":[138],"thesis":[140,276],"describes":[141,277],"fully":[143],"automated":[144,285],"hybrid":[145,167],"methodology":[146,233],"able":[149],"first":[151],"locate":[152,177],"then":[154,200],"extract":[155],"hippocampal":[156,178,183,288],"volumes":[157],"3D":[159],"1.5T":[160],"T1":[162],"automatically.":[165],"algorithm":[168],"uses":[169],"atlas":[171],"mappings":[172],"fuzzy":[174],"inference":[175,218],"areas":[179],"create":[181],"initial":[182,186],"boundaries.":[184],"location":[187],"used":[189],"seed":[191],"deformable":[193],"manifold":[194],"algorithm.":[195],"Rule":[196],"based":[197],"deformations":[198],"applied":[201],"refine":[203],"estimate":[205],"locations.":[209],"Finally,":[210],"corrected":[215],"through":[216],"an":[217,224],"process":[219],"assures":[221],"adherence":[222],"expected":[225],"volume.":[227],"ICC":[229],"values":[230,258],"when":[234],"compared":[235],"segmentation":[239],"same":[242],"hippocampi":[243],"result":[244],"0.73":[247],"for":[248,253],"left":[250],"0.81":[252],"right":[255],"hippocampi.":[256],"both":[259],"fall":[260],"range":[263,298],"reliability":[265],"testing":[266],"according":[267],"\u2018gold":[271],"standard\u2019":[272],"technique.":[273],"Thus,":[274],"development":[279],"validation":[281],"genuinely":[284],"approach":[286],"volume":[289],"extraction":[290],"potential":[292],"utility":[293],"studies":[295],"disorders":[301],"could":[303],"eventually":[304],"find":[305],"clinical":[306],"applications.":[307]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
