{"id":"https://openalex.org/W2887437551","doi":"https://doi.org/10.1109/hsi.2018.8430840","title":"Convolutional Neural Network Based Femur Stabilization for X-Ray Image Sequences","display_name":"Convolutional Neural Network Based Femur Stabilization for X-Ray Image Sequences","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2887437551","doi":"https://doi.org/10.1109/hsi.2018.8430840","mag":"2887437551"},"language":"en","primary_location":{"id":"doi:10.1109/hsi.2018.8430840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2018.8430840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Conference on Human System Interaction (HSI)","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/A5021232091","display_name":"Marta Dr\u0105\u017ckowska","orcid":"https://orcid.org/0000-0002-9438-9533"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Marta Drazkowska","raw_affiliation_strings":["Institute of Automation and Robotics, Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Automation and Robotics, Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077930860","display_name":"Tomasz Gawron","orcid":"https://orcid.org/0000-0003-0975-6077"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Gawron","raw_affiliation_strings":["Institute of Automation and Robotics, Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Automation and Robotics, Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101572184","display_name":"Krzysztof Koz\u0142owski","orcid":"https://orcid.org/0000-0002-6111-3215"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krzysztof Kozlowski","raw_affiliation_strings":["Institute of Automation and Robotics, Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Institute of Automation and Robotics, Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021232091"],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08266063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":null,"first_page":"125","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9929999709129333,"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/T13579","display_name":"Image and Video Stabilization","score":0.9929999709129333,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9911999702453613,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7215983867645264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6677263975143433},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6673902869224548},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6277807354927063},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.45101314783096313},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4402582049369812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40097567439079285},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3880739212036133},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2701231837272644},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.10739487409591675}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7215983867645264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6677263975143433},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6673902869224548},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6277807354927063},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.45101314783096313},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4402582049369812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40097567439079285},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3880739212036133},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2701231837272644},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.10739487409591675}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hsi.2018.8430840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2018.8430840","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 11th International Conference on Human System Interaction (HSI)","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":17,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W2038813648","https://openalex.org/W2078044260","https://openalex.org/W2095705004","https://openalex.org/W2106411961","https://openalex.org/W2107120897","https://openalex.org/W2184387946","https://openalex.org/W2271206385","https://openalex.org/W2335574431","https://openalex.org/W2343209343","https://openalex.org/W2604831075","https://openalex.org/W2607483602","https://openalex.org/W2949117887","https://openalex.org/W6674330103","https://openalex.org/W6676179485","https://openalex.org/W6686173388","https://openalex.org/W6735987882"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W4293226380","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2145649715","https://openalex.org/W2163935418"],"abstract_inverted_index":{"Sequence":[0],"stabilization":[1,87,147,159,171],"of":[2,9,34,40,70,88,93,103,122],"medical":[3],"images":[4],"is":[5,27,161],"an":[6],"important":[7],"aspect":[8],"diagnosis,":[10],"therapy,":[11],"joint":[12],"movement":[13],"kinematic":[14],"analysis,":[15],"and":[16,73],"cancer":[17],"detection.":[18],"Typically,":[19],"when":[20],"image":[21,46,110,167,176],"frames":[22],"are":[23,117,143],"recorded,":[24],"the":[25,38,60,101,120,140,151,173,188],"body":[26],"not":[28],"rigidly":[29],"fixed":[30],"as":[31,135],"a":[32,83,91,136,146,180],"result":[33],"e.g.":[35],"respiration,":[36],"thus":[37],"position":[39,137],"its":[41],"segments":[42],"may":[43],"vary.":[44],"Simple":[45],"analysis":[47,111],"methods":[48],"(e.g.":[49],"gradient":[50],"based,":[51],"scale-space":[52],"based)":[53],"tend":[54],"to":[55,67,185],"have":[56],"problems":[57],"with":[58,124,150],"discerning":[59],"key-points":[61,107],"in":[62,90,119,145],"this":[63,79],"specific":[64],"task,":[65],"due":[66],"large":[68],"diversity":[69],"bone":[71,123],"structure":[72],"highly":[74],"visible":[75],"soft":[76],"tissue.":[77],"In":[78],"paper,":[80],"we":[81,129],"propose":[82],"specialized":[84],"algorithm":[85],"for":[86,163,175],"femur":[89,106],"sequence":[92],"single":[94],"plane":[95],"fluoroscopic":[96],"images.":[97],"The":[98,157],"method":[99],"estimates":[100],"positions":[102,142],"several":[104],"easily-detectable":[105],"using":[108],"gradient-based":[109],"methods.":[112],"For":[113],"other":[114],"key-points,":[115],"which":[116],"located":[118],"regions":[121],"saliency":[125],"prohibiting":[126],"effective":[127],"detection,":[128],"use":[130],"feedforward":[131],"Convolutional":[132],"Neural":[133],"Network":[134],"estimator.":[138],"All":[139],"key-point":[141],"used":[144],"process":[148],"performed":[149,178],"ICP":[152],"(Iterative":[153],"Closest":[154],"Point)":[155],"algorithm.":[156],"overall":[158],"accuracy":[160],"evaluated":[162],"two":[164],"uncorrelated":[165],"X-ray":[166],"sequences,":[168],"where":[169],"manual":[170],"(i.e.,":[172],"results":[174],"alignment":[177],"by":[179],"human":[181],"operator":[182],"without":[183],"access":[184],"key-points)":[186],"constitutes":[187],"ground":[189],"truth.":[190]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}