{"id":"https://openalex.org/W3091546124","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206783","title":"YOLO and Morphing-based Method for 3D Individualised Bone Model Creation","display_name":"YOLO and Morphing-based Method for 3D Individualised Bone Model Creation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3091546124","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206783","mag":"3091546124"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5081794661","display_name":"Zuzanna Krawczyk","orcid":"https://orcid.org/0000-0002-3897-1078"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Zuzanna Krawczyk","raw_affiliation_strings":["Electrical Engineering Department, Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089145210","display_name":"Jacek Starzy\u0144ski","orcid":"https://orcid.org/0000-0002-1093-9500"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jacek Starzynski","raw_affiliation_strings":["Electrical Engineering Department, Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":null,"apc_paid":null,"fwci":0.4357,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.59224801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9884999990463257,"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":0.9884999990463257,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9868000149726868,"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"}},{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.7909176349639893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7374915480613708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7273224592208862},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6821627616882324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6125487089157104},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4896274209022522},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46490275859832764},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.44456642866134644},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.42139044404029846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.362213671207428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09445992112159729}],"concepts":[{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.7909176349639893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374915480613708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7273224592208862},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6821627616882324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6125487089157104},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4896274209022522},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46490275859832764},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.44456642866134644},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42139044404029846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.362213671207428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09445992112159729},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W810889568","https://openalex.org/W1516245475","https://openalex.org/W1600530571","https://openalex.org/W1974322200","https://openalex.org/W1980585525","https://openalex.org/W2026620973","https://openalex.org/W2030443718","https://openalex.org/W2043921087","https://openalex.org/W2061336036","https://openalex.org/W2080323815","https://openalex.org/W2081531608","https://openalex.org/W2089274062","https://openalex.org/W2090717848","https://openalex.org/W2104339767","https://openalex.org/W2130666983","https://openalex.org/W2134236847","https://openalex.org/W2143392325","https://openalex.org/W2145023731","https://openalex.org/W2145028090","https://openalex.org/W2152195021","https://openalex.org/W2236848163","https://openalex.org/W2533372293","https://openalex.org/W2543580944","https://openalex.org/W2570343428","https://openalex.org/W2604819404","https://openalex.org/W2609546627","https://openalex.org/W2766714270","https://openalex.org/W2788866656","https://openalex.org/W2899181150","https://openalex.org/W2911471650","https://openalex.org/W3101464159","https://openalex.org/W3106061934","https://openalex.org/W6681326170","https://openalex.org/W6731892127"],"related_works":["https://openalex.org/W1679315481","https://openalex.org/W3151495635","https://openalex.org/W4385170164","https://openalex.org/W4236870338","https://openalex.org/W2016917053","https://openalex.org/W1580681114","https://openalex.org/W51472912","https://openalex.org/W4362722828","https://openalex.org/W2375652671","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,48,91],"paper":[1],"presents":[2],"an":[3,107],"automated":[4],"tool":[5],"for":[6,136],"individualised":[7],"skeletal":[8,46],"model":[9,74],"creation":[10],"and":[11,86],"identification":[12],"of":[13,36,43,57,83,114,126,129,133,141],"specific":[14],"bone":[15,38,130],"structures":[16],"from":[17,65],"computed":[18],"tomography":[19],"(CT)":[20],"images.":[21],"Contrary":[22],"to":[23,61,78],"the":[24,28,37,53,58,69,72,79,118,124,134],"classical":[25],"segmentation":[26],"methods,":[27],"presented":[29],"one":[30],"is":[31],"aimed":[32],"at":[33],"exact":[34],"recognition":[35],"joints.":[39],"It":[40],"takes":[41],"advantage":[42],"a":[44,150],"reference":[45,73],"model.":[47],"developed":[49],"procedure":[50,119],"relies":[51],"on":[52],"neural":[54],"network":[55],"detection":[56],"bounding":[59],"boxes":[60],"select":[62],"single":[63],"bones":[64,115],"CT":[66],"slices.":[67],"In":[68],"subsequent":[70],"steps":[71],"elements":[75],"are":[76],"matched":[77],"detections":[80],"by":[81,88,117],"means":[82],"affine":[84],"transformation":[85],"next,":[87],"morphing":[89],"algorithm.":[90],"method":[92],"incorporates":[93],"various":[94],"image":[95],"processing":[96],"algorithms":[97],"including":[98],"swarm":[99],"intelligence":[100],"heuristic":[101],"algorithm-Artificial":[102],"Ant":[103],"Colony":[104],"(enriched":[105],"with":[106],"original":[108],"pheromone":[109],"deposition":[110],"function).":[111],"Three-dimensional":[112],"models":[113],"created":[116],"can":[120,146],"be":[121],"used":[122],"in":[123,139,153],"task":[125],"automatic":[127],"delineation":[128],"structures,":[131],"positioning":[132],"patient":[135],"radiotherapy":[137],"or":[138],"planning":[140],"orthopaedic":[142],"medical":[143],"procedure.":[144],"They":[145],"also":[147],"serve":[148],"as":[149],"visual":[151],"help":[152],"diseases":[154],"detection.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}