{"id":"https://openalex.org/W2435239811","doi":"https://doi.org/10.1109/isbi.2016.7493534","title":"Automatic localization of locally similar structures based on the scale-widening random regression forest","display_name":"Automatic localization of locally similar structures based on the scale-widening random regression forest","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2435239811","doi":"https://doi.org/10.1109/isbi.2016.7493534","mag":"2435239811"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","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/A5052285671","display_name":"Darko \u0160tern","orcid":"https://orcid.org/0000-0003-3449-5497"},"institutions":[{"id":"https://openalex.org/I4210117258","display_name":"BioTechMed-Graz","ror":"https://ror.org/02jfbm483","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210117258"]},{"id":"https://openalex.org/I4403928418","display_name":"Ludwig Boltzmann Institute for Digital Health and Prevention","ror":"https://ror.org/00a2syk23","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I2799334681","https://openalex.org/I4403928418"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Darko Stern","raw_affiliation_strings":["Institute for Computer Graphics and Vision, BioTechMed, Graz, Austria","Ludwig Boltzmann Institute for Clinical Forensic Imaging, Graz, Austria"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, BioTechMed, Graz, Austria","institution_ids":["https://openalex.org/I4210117258"]},{"raw_affiliation_string":"Ludwig Boltzmann Institute for Clinical Forensic Imaging, Graz, Austria","institution_ids":["https://openalex.org/I4403928418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085046759","display_name":"Thomas Ebner","orcid":"https://orcid.org/0000-0001-9153-366X"},"institutions":[{"id":"https://openalex.org/I4210117258","display_name":"BioTechMed-Graz","ror":"https://ror.org/02jfbm483","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4210117258"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Ebner","raw_affiliation_strings":["Institute for Computer Graphics and Vision, BioTechMed, Graz, Austria"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, BioTechMed, Graz, Austria","institution_ids":["https://openalex.org/I4210117258"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043153398","display_name":"Martin Urschler","orcid":"https://orcid.org/0000-0001-5792-3971"},"institutions":[{"id":"https://openalex.org/I4403928418","display_name":"Ludwig Boltzmann Institute for Digital Health and Prevention","ror":"https://ror.org/00a2syk23","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I2799334681","https://openalex.org/I4403928418"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Urschler","raw_affiliation_strings":["Ludwig Boltzmann Institute for Clinical Forensic Imaging, Graz, Austria"],"affiliations":[{"raw_affiliation_string":"Ludwig Boltzmann Institute for Clinical Forensic Imaging, Graz, Austria","institution_ids":["https://openalex.org/I4403928418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052285671"],"corresponding_institution_ids":["https://openalex.org/I4210117258","https://openalex.org/I4403928418"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54980113,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9349","issue":null,"first_page":"1422","last_page":"1425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9950000047683716,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9950000047683716,"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/T11448","display_name":"Face recognition and analysis","score":0.9927999973297119,"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/T10057","display_name":"Face and Expression Recognition","score":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.8306602835655212},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7115144729614258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6653585433959961},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6500451564788818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6362747550010681},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6321060657501221},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.6020439863204956},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5770727396011353},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5304365158081055},{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.5128076672554016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5067418217658997},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5002000331878662},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4948989748954773},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4565226435661316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29092952609062195},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2358059287071228},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12772953510284424},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11627441644668579},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11171692609786987}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.8306602835655212},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7115144729614258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6653585433959961},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6500451564788818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6362747550010681},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6321060657501221},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.6020439863204956},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5770727396011353},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5304365158081055},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.5128076672554016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5067418217658997},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5002000331878662},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4948989748954773},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4565226435661316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29092952609062195},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2358059287071228},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12772953510284424},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11627441644668579},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11171692609786987},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2016.7493534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W137456267","https://openalex.org/W2009621568","https://openalex.org/W2034102777","https://openalex.org/W2065698093","https://openalex.org/W2286202077","https://openalex.org/W2404719367"],"related_works":["https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471","https://openalex.org/W2048488252","https://openalex.org/W4289884158","https://openalex.org/W2940614149","https://openalex.org/W4288365262","https://openalex.org/W2787485953"],"abstract_inverted_index":{"Selection":[0],"of":[1,3,73,80,111],"set":[2],"training":[4,54],"pixels":[5,31],"and":[6,106,113],"feature":[7],"range":[8,38,59],"show":[9],"to":[10],"be":[11],"critical":[12],"scale-related":[13],"parameters":[14],"with":[15,36,57],"high":[16],"impact":[17],"on":[18,24,30],"results":[19,76],"in":[20,44,61,77],"localization":[21,75,109],"methods":[22],"based":[23],"random":[25],"regression":[26],"forests":[27],"(RRF).":[28],"Trained":[29],"randomly":[32],"selected":[33],"from":[34],"images":[35],"long":[37],"features,":[39],"RRF":[40,56,88],"captures":[41],"the":[42,71,78],"variation":[43],"landmark":[45],"location":[46],"but":[47,69],"often":[48],"without":[49],"reaching":[50],"satisfying":[51],"accuracy.":[52],"Conversely,":[53],"an":[55],"short":[58],"features":[60],"a":[62,86,96],"landmark's":[63],"close":[64],"surroundings":[65],"enables":[66],"accurate":[67],"localization,":[68],"at":[70],"cost":[72],"ambiguous":[74],"presence":[79],"locally":[81],"similar":[82],"structures.":[83],"We":[84],"present":[85],"scale-widening":[87],"method":[89],"that":[90],"effectively":[91],"handles":[92],"such":[93],"ambiguities.":[94],"On":[95],"challenging":[97],"hand":[98],"radiography":[99],"image":[100],"data":[101],"set,":[102],"we":[103],"achieve":[104],"median":[105],"90th":[107],"percentile":[108],"errors":[110],"0.81":[112],"2.64mm,":[114],"respectively,":[115],"outperforming":[116],"related":[117],"state-of-the-art":[118],"methods.":[119]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}