{"id":"https://openalex.org/W2998474039","doi":"https://doi.org/10.1109/ictc46691.2019.8939984","title":"3D Reconstruction of Leg Bones from X-Ray Images using CNN-based Feature Analysis","display_name":"3D Reconstruction of Leg Bones from X-Ray Images using CNN-based Feature Analysis","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2998474039","doi":"https://doi.org/10.1109/ictc46691.2019.8939984","mag":"2998474039"},"language":"en","primary_location":{"id":"doi:10.1109/ictc46691.2019.8939984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5018124343","display_name":"Hangkee Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hangkee Kim","raw_affiliation_strings":["Electronics and Telecommunication Research Institute,Communications &#x0026; Media Research Laboratory,Daejeon,Republic of Korea","Electronics and Telecommunication Research Institute,Communications & Media Research Laboratory,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunication Research Institute,Communications &#x0026; Media Research Laboratory,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Electronics and Telecommunication Research Institute,Communications & Media Research Laboratory,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080613658","display_name":"Ki\u2010Suk Lee","orcid":"https://orcid.org/0000-0002-2063-8007"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kisuk Lee","raw_affiliation_strings":["Electronics and Telecommunication Research Institute,Communications &#x0026; Media Research Laboratory,Daejeon,Republic of Korea","Electronics and Telecommunication Research Institute,Communications & Media Research Laboratory,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunication Research Institute,Communications &#x0026; Media Research Laboratory,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Electronics and Telecommunication Research Institute,Communications & Media Research Laboratory,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049128672","display_name":"DongChun Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongchun Lee","raw_affiliation_strings":["Electronics and Telecommunication Research Institute,Communications &#x0026; Media Research Laboratory,Daejeon,Republic of Korea","Electronics and Telecommunication Research Institute,Communications & Media Research Laboratory,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunication Research Institute,Communications &#x0026; Media Research Laboratory,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I142401562"]},{"raw_affiliation_string":"Electronics and Telecommunication Research Institute,Communications & Media Research Laboratory,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053437642","display_name":"Nakhoon Baek","orcid":"https://orcid.org/0000-0003-2136-843X"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nakhoon Baek","raw_affiliation_strings":["Kyungpook National Unitersity,School of Computer Science and Engineering,Daegu,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyungpook National Unitersity,School of Computer Science and Engineering,Daegu,Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3987,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95667268,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2019","issue":null,"first_page":"669","last_page":"672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9990000128746033,"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":0.9990000128746033,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9896000027656555,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/feature","display_name":"Feature (linguistics)","score":0.74959397315979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317959666252136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7289696931838989},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6932405829429626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6449790596961975},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5556175112724304},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5364428758621216},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.49069321155548096},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.4862483739852905},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.481205016374588},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.46886637806892395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31405240297317505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16066277027130127},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07201766967773438}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.74959397315979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317959666252136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7289696931838989},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6932405829429626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6449790596961975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5556175112724304},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5364428758621216},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.49069321155548096},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.4862483739852905},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.481205016374588},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.46886637806892395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31405240297317505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16066277027130127},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07201766967773438},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":2,"locations":[{"id":"doi:10.1109/ictc46691.2019.8939984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},{"id":"mag:3091427452","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002240932511750","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W157147009","https://openalex.org/W1536680647","https://openalex.org/W2004456351","https://openalex.org/W2023473820","https://openalex.org/W2033927849","https://openalex.org/W2065160073","https://openalex.org/W2077007427","https://openalex.org/W2102605133","https://openalex.org/W2169552569","https://openalex.org/W2602223469","https://openalex.org/W2613718673","https://openalex.org/W2755259351","https://openalex.org/W2790466736","https://openalex.org/W2796347433","https://openalex.org/W2805658037","https://openalex.org/W2945719313","https://openalex.org/W2953106684","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W6620707391","https://openalex.org/W6750227808","https://openalex.org/W6751630521"],"related_works":["https://openalex.org/W2016546218","https://openalex.org/W2352223314","https://openalex.org/W166366606","https://openalex.org/W2509104183","https://openalex.org/W2509618504","https://openalex.org/W2970216048","https://openalex.org/W2154461499","https://openalex.org/W2147832946","https://openalex.org/W2546942002","https://openalex.org/W2117532850"],"abstract_inverted_index":{"3D":[0,28,64,78,81,98],"reconstruction":[1],"of":[2,16,63,70,77,106],"subject":[3],"specific":[4],"bones":[5,30],"from":[6,31,54,74],"X-Ray":[7,33,71],"images":[8,34],"is":[9,72,83],"an":[10],"important":[11],"issue":[12],"in":[13],"a":[14,24],"variety":[15],"medical":[17],"applications":[18],"such":[19],"as":[20],"diagnosis.":[21],"We":[22,92],"propose":[23],"method":[25,96],"to":[26,110],"reconstruct":[27],"leg":[29],"2D":[32],"using":[35],"feature":[36,50,61,107],"analysis.":[37],"First,":[38],"bounding":[39],"boxes":[40],"are":[41,52,58],"detected":[42,73],"by":[43,85,101],"Convolutional":[44],"Neural":[45],"Network(CNN).":[46],"Feature":[47],"points":[48],"and":[49],"ellipses":[51],"extracted":[53],"them.":[55],"Such":[56],"features":[57],"aligned":[59,75],"with":[60],"information":[62,108],"bone":[65],"model.":[66,79],"Then,":[67],"the":[68,87,103,111],"boundary":[69,76],"The":[80],"model":[82],"fine-tuned":[84],"adjusting":[86],"Statistical":[88],"Shape":[89],"Model":[90],"parameter.":[91],"believe":[93],"that":[94],"this":[95],"makes":[97],"modeling":[99],"easier":[100],"improving":[102],"automatic":[104],"detection":[105],"compared":[109],"manual":[112],"landmark":[113],"input":[114],"method.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
