{"id":"https://openalex.org/W2049049535","doi":"https://doi.org/10.1109/bhi.2014.6864437","title":"Multi atlas-based segmentation with data driven refinement","display_name":"Multi atlas-based segmentation with data driven refinement","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2049049535","doi":"https://doi.org/10.1109/bhi.2014.6864437","mag":"2049049535"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2014.6864437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2014.6864437","pdf_url":null,"source":{"id":"https://openalex.org/S4393918972","display_name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)","issn_l":"2641-3590","issn":["2641-3590"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"article","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/A5011232945","display_name":"\u00d3scar Alfonso Jim\u00e9nez del Toro","orcid":"https://orcid.org/0009-0006-9659-0958"},"institutions":[{"id":"https://openalex.org/I173439891","display_name":"HES-SO University of Applied Sciences and Arts Western Switzerland","ror":"https://ror.org/01xkakk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I173439891"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Oscar Alfonso Jimenez del Toro","raw_affiliation_strings":["University of Applied Sciences Western Switzerland (HES-SO), Switzerland","Univ. of Appl. Sci. Western Switzerland (HES-SO), Delemont, Switzerland"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Western Switzerland (HES-SO), Switzerland","institution_ids":["https://openalex.org/I173439891"]},{"raw_affiliation_string":"Univ. of Appl. Sci. Western Switzerland (HES-SO), Delemont, Switzerland","institution_ids":["https://openalex.org/I173439891"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061961859","display_name":"Henning M\u00fcller","orcid":"https://orcid.org/0000-0001-6800-9878"},"institutions":[{"id":"https://openalex.org/I4210106256","display_name":"University Hospital of Geneva","ror":"https://ror.org/01m1pv723","country_code":"CH","type":"healthcare","lineage":["https://openalex.org/I4210106256"]},{"id":"https://openalex.org/I173439891","display_name":"HES-SO University of Applied Sciences and Arts Western Switzerland","ror":"https://ror.org/01xkakk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I173439891"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Henning Muller","raw_affiliation_strings":["Deparrment of Radiology, University and University Hospitals of Geneva (HUG), Switzerland","Univ. of Appl. Sci. Western Switzerland (HES-SO), Delemont, Switzerland"],"affiliations":[{"raw_affiliation_string":"Deparrment of Radiology, University and University Hospitals of Geneva (HUG), Switzerland","institution_ids":["https://openalex.org/I4210106256"]},{"raw_affiliation_string":"Univ. of Appl. Sci. Western Switzerland (HES-SO), Delemont, Switzerland","institution_ids":["https://openalex.org/I173439891"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011232945"],"corresponding_institution_ids":["https://openalex.org/I173439891"],"apc_list":null,"apc_paid":null,"fwci":0.7693,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72441743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":null,"first_page":"605","last_page":"608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9987000226974487,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9944999814033508,"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/segmentation","display_name":"Segmentation","score":0.8239824771881104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7456003427505493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7335993051528931},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6601263880729675},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.6408380270004272},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6355226635932922},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5512915849685669},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5400593280792236},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5386218428611755},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.511622965335846},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4748269021511078},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43620944023132324},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.054661184549331665},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.05351334810256958}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8239824771881104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7456003427505493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7335993051528931},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6601263880729675},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.6408380270004272},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6355226635932922},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5512915849685669},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5400593280792236},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5386218428611755},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.511622965335846},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4748269021511078},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43620944023132324},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.054661184549331665},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.05351334810256958},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2014.6864437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2014.6864437","pdf_url":null,"source":{"id":"https://openalex.org/S4393918972","display_name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)","issn_l":"2641-3590","issn":["2641-3590"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W39360085","https://openalex.org/W2016991777","https://openalex.org/W2050542229","https://openalex.org/W2065698093","https://openalex.org/W2101689475","https://openalex.org/W2107166114","https://openalex.org/W2133287637","https://openalex.org/W2160153825","https://openalex.org/W6601539131"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"Anatomical":[0],"structure":[1,93],"segmentation":[2,16,49,55,143,162],"is":[3,19,62,103,116],"the":[4,21,25,58,70,74,88,92,99,110,119,122,154],"basis":[5],"for":[6,47,131,150,164],"further":[7],"image":[8,75],"analysis":[9],"processes.":[10],"Although":[11],"there":[12,18],"are":[13,147],"many":[14],"available":[15],"methods":[17,163],"still":[20],"need":[22],"to":[23,31,44,86,129,137],"improve":[24],"accuracy":[26],"and":[27],"speed":[28],"of":[29,73,91,94,98,109,121,127,156],"them":[30],"be":[32],"used":[33],"in":[34,50,64,118,160],"a":[35,42],"clinical":[36],"environment.":[37],"The":[38,96],"VISCERAL":[39,59],"project":[40],"organizes":[41],"benchmark":[43],"compare":[45],"approaches":[46],"organ":[48],"big":[51],"data.":[52],"A":[53],"fully-automatic":[54],"method":[56],"using":[57,76,105,139],"data":[60],"set":[61],"proposed":[63],"this":[65,157],"paper.":[66],"It":[67],"incorporates":[68],"both":[69],"local":[71],"contrast":[72,158],"an":[77,125,140],"intensity":[78,101],"feature":[79,102,159],"as":[80,82],"well":[81],"atlas":[83,141],"probabilistic":[84],"information":[85],"compute":[87],"definite":[89],"labelling":[90],"interest.":[95],"usefulness":[97],"new":[100],"evaluated":[104],"contrast-enhanced":[106],"CT":[107],"images":[108,152],"trunk.":[111],"An":[112],"overall":[113],"average":[114],"increase":[115],"computed":[117],"overlap":[120],"segmentations":[123],"with":[124],"improvement":[126],"up":[128],"33%":[130],"several":[132,165],"anatomical":[133],"structures":[134],"when":[135],"compared":[136],"only":[138],"based":[142],"method.":[144],"Qualitative":[145],"results":[146],"also":[148],"shown":[149],"MR":[151],"supporting":[153],"inclusion":[155],"atlas-based":[161],"modalities.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
