{"id":"https://openalex.org/W4392903306","doi":"https://doi.org/10.1109/icassp48485.2024.10447512","title":"A Method for X-Ray Image Landmarks Localization using Cyclic Coordinate-Guided Strategy","display_name":"A Method for X-Ray Image Landmarks Localization using Cyclic Coordinate-Guided Strategy","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903306","doi":"https://doi.org/10.1109/icassp48485.2024.10447512"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447512","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5016972208","display_name":"Xianglong Wang","orcid":"https://orcid.org/0000-0003-1086-5158"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianglong Wang","raw_affiliation_strings":["Ocean University of China,Qingdao,China","Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019605341","display_name":"Xifeng An","orcid":"https://orcid.org/0009-0009-7916-4860"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xifeng An","raw_affiliation_strings":["Ocean University of China,Qingdao,China","Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062640176","display_name":"Eric Rigall","orcid":"https://orcid.org/0000-0002-0882-814X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Eric Rigall","raw_affiliation_strings":["Ocean University of China,Qingdao,China","Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748676","display_name":"Shu Zhang","orcid":"https://orcid.org/0000-0002-5873-634X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Zhang","raw_affiliation_strings":["Ocean University of China,Qingdao,China","Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006580423","display_name":"Hui Yu","orcid":"https://orcid.org/0000-0002-7655-9228"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hui Yu","raw_affiliation_strings":["University of Portsmouth,Portsmouth,UK","University of Portsmouth, Portsmouth, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Portsmouth,Portsmouth,UK","institution_ids":["https://openalex.org/I63072094"]},{"raw_affiliation_string":"University of Portsmouth, Portsmouth, UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["Ocean University of China,Qingdao,China","Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03123132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1691","last_page":"1695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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":0.9554047584533691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8224941492080688},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6258517503738403},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6143124103546143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5995190143585205},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5428090691566467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5266161561012268},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.522093653678894},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5176887512207031},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.46890202164649963},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.45543986558914185},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4491614103317261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3786987364292145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.292472779750824},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.11897680163383484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10729500651359558}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9554047584533691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224941492080688},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6258517503738403},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6143124103546143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5995190143585205},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5428090691566467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5266161561012268},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.522093653678894},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5176887512207031},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.46890202164649963},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.45543986558914185},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4491614103317261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3786987364292145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.292472779750824},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.11897680163383484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10729500651359558},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447512","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1995003188","https://openalex.org/W2009621568","https://openalex.org/W2194775991","https://openalex.org/W2525974879","https://openalex.org/W2527398878","https://openalex.org/W2759567658","https://openalex.org/W2925288829","https://openalex.org/W2936204599","https://openalex.org/W2979306609","https://openalex.org/W3034750257","https://openalex.org/W3098592896","https://openalex.org/W3127285411","https://openalex.org/W3160060417","https://openalex.org/W3194199857","https://openalex.org/W3201702043","https://openalex.org/W4221104574","https://openalex.org/W4225984880","https://openalex.org/W4250925297","https://openalex.org/W4296913373","https://openalex.org/W4312478457","https://openalex.org/W4312678820","https://openalex.org/W4313170506","https://openalex.org/W4386065537","https://openalex.org/W6741667068","https://openalex.org/W6781912782"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2026924879","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W1968481813","https://openalex.org/W2620829895","https://openalex.org/W2356918560"],"abstract_inverted_index":{"In":[0,77],"this":[1],"study,":[2],"we":[3],"present":[4],"a":[5,25,66,96,138],"novel":[6],"method":[7,23,168],"for":[8,46,178],"pinpointing":[9],"landmarks":[10],"in":[11,99,158],"X-ray":[12],"images,":[13],"which":[14,100],"simultaneously":[15],"offers":[16],"computational":[17,36,56,131],"efficiency":[18],"and":[19,34,133,150,155,174],"localization":[20,120,163],"precision.":[21],"Our":[22,63,111],"leverages":[24],"cyclic":[26,71,101],"coordinate-guided":[27],"strategy":[28],"that":[29,69,114],"requires":[30],"fewer":[31],"model":[32],"parameters":[33],"lower":[35,130],"costs":[37],"than":[38],"traditional":[39],"heatmap-based":[40],"supervised":[41],"methods.":[42],"This":[43,92],"is":[44,83,93,181],"crucial":[45],"medical":[47],"imaging":[48,51],"applications":[49],"where":[50],"devices":[52],"often":[53],"have":[54],"limited":[55],"resources":[57],"yet":[58,125],"require":[59],"high-precision":[60],"landmark":[61,75,105,162],"localization.":[62,76],"methodology":[64],"involves":[65],"two-stage":[67,116],"process":[68,117],"employs":[70],"inference":[72],"to":[73,85,143],"optimize":[74],"the":[78,87,104,160,175],"first":[79],"stage,":[80],"non-uniform":[81],"sampling":[82],"used":[84],"capture":[86,144],"multiscale":[88],"features":[89],"of":[90,129,148],"landmarks.":[91],"followed":[94],"by":[95],"second":[97],"stage":[98],"training":[102],"fine-tunes":[103],"coordinates":[106],"towards":[107],"their":[108],"optimal":[109],"positions.":[110],"results":[112],"indicate":[113],"our":[115,167,179],"achieves":[118],"competitive":[119],"performance":[121],"with":[122,126],"state-of-the-art":[123],"methods":[124],"added":[127],"benefits":[128],"overhead":[132],"smaller":[134],"parameter":[135],"count.":[136],"Additionally,":[137],"global":[139,145],"block":[140],"was":[141],"developed":[142],"position":[146],"information":[147],"landmarks,":[149],"experiments":[151,180],"showed":[152],"its":[153,156],"effectiveness":[154],"contribution":[157],"enhancing":[159],"model's":[161],"accuracy.":[164],"We":[165],"validated":[166],"using":[169],"two":[170],"publicly":[171],"available":[172,182],"datasets,":[173],"source":[176],"code":[177],"on":[183],"GitHub:":[184],"https://github.com/switch626/CCG-CL.git.":[185]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}