{"id":"https://openalex.org/W3082239549","doi":"https://doi.org/10.1109/embc44109.2020.9176363","title":"Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network","display_name":"Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082239549","doi":"https://doi.org/10.1109/embc44109.2020.9176363","mag":"3082239549","pmid":"https://pubmed.ncbi.nlm.nih.gov/33018243"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9176363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5110651752","display_name":"Ruxue Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruxue Hu","raw_affiliation_strings":["School of Biomedical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010996024","display_name":"Hongkai Wang","orcid":"https://orcid.org/0000-0002-1813-2162"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkai Wang","raw_affiliation_strings":["School of Biomedical Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086891852","display_name":"Tapani Ristaniemi","orcid":"https://orcid.org/0000-0002-8461-3968"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tapani Ristaniemi","raw_affiliation_strings":["Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031854562","display_name":"Wentao Zhu","orcid":"https://orcid.org/0000-0001-9290-1778"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Zhu","raw_affiliation_strings":["Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044172667","display_name":"Xiaobang Sun","orcid":"https://orcid.org/0000-0001-8797-6337"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Xiaobang Sun","raw_affiliation_strings":["Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2020","issue":null,"first_page":"1368","last_page":"1371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9962000250816345,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.995199978351593,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9902999997138977,"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/landmark","display_name":"Landmark","score":0.9235122203826904},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.8001173734664917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7921960353851318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002102136611938},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6635733246803284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5600014925003052},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5552298426628113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46648600697517395},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4428788423538208},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.43743929266929626},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.42288142442703247},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41503429412841797},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4139532148838043},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3749270439147949},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12351226806640625},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10622867941856384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1001163125038147}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9235122203826904},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.8001173734664917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7921960353851318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002102136611938},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6635733246803284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5600014925003052},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5552298426628113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46648600697517395},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4428788423538208},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.43743929266929626},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.42288142442703247},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41503429412841797},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4139532148838043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3749270439147949},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12351226806640625},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10622867941856384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1001163125038147},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc44109.2020.9176363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33018243","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33018243","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W204365527","https://openalex.org/W603908379","https://openalex.org/W825492442","https://openalex.org/W1579576867","https://openalex.org/W1970928383","https://openalex.org/W1987869189","https://openalex.org/W2006830189","https://openalex.org/W2106565812","https://openalex.org/W2140139548","https://openalex.org/W2155298532","https://openalex.org/W2292812406","https://openalex.org/W2594972269","https://openalex.org/W2604993867","https://openalex.org/W2901350754","https://openalex.org/W2904555209","https://openalex.org/W2922479016","https://openalex.org/W2963196212","https://openalex.org/W3106258756","https://openalex.org/W6608300845","https://openalex.org/W6618372016","https://openalex.org/W6623304566","https://openalex.org/W6756618898"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W4281780675","https://openalex.org/W2738221750","https://openalex.org/W2621864722","https://openalex.org/W2732542196","https://openalex.org/W4221040317","https://openalex.org/W2724710774","https://openalex.org/W564581980","https://openalex.org/W2758063741","https://openalex.org/W2800691917"],"abstract_inverted_index":{"Accurate":[0,60],"registration":[1,21,119,126],"of":[2,35,48,56,62,92,106,112],"lung":[3,87,94,117],"computed":[4],"tomography":[5],"(CT)":[6],"image":[7,14,20],"is":[8,65],"a":[9,81],"significant":[10],"task":[11],"in":[12,104,125],"thorax":[13],"analysis.":[15],"Recently":[16],"deep":[17],"learning-based":[18],"medical":[19],"methods":[22,124],"develop":[23],"fast":[24],"and":[25,31,58,109],"achieve":[26],"promising":[27],"performance":[28],"on":[29,116],"accuracy":[30],"speed.":[32],"However,":[33],"most":[34],"them":[36],"learned":[37],"the":[38,46,53],"deformation":[39],"field":[40],"through":[41],"intensity":[42],"similarity":[43],"but":[44],"ignored":[45],"importance":[47],"aligning":[49],"anatomical":[50,63],"landmarks":[51,64],"(e.g.,":[52],"branch":[54],"points":[55],"airway":[57],"vessels).":[59],"alignment":[61],"essential":[66],"for":[67,86],"obtaining":[68],"anatomically":[69],"correct":[70],"registration.":[71,89],"In":[72],"this":[73],"work,":[74],"we":[75],"propose":[76],"landmark":[77,113],"constrained":[78],"learning":[79],"with":[80],"convolutional":[82],"neural":[83],"network":[84],"(CNN)":[85],"CT":[88,96,118],"Experimental":[90],"results":[91],"40":[93],"3D":[95],"images":[97],"show":[98],"that":[99],"our":[100],"method":[101],"achieves":[102],"0.93":[103],"terms":[105],"Dice":[107],"index":[108],"3.54":[110],"mm":[111],"Euclidean":[114],"distance":[115],"task,":[120],"which":[121],"outperforms":[122],"state-of-the-art":[123],"accuracy.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
