{"id":"https://openalex.org/W4221013358","doi":"https://doi.org/10.1007/s11548-022-02586-3","title":"Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images","display_name":"Deep learning-based 2D/3D registration of an atlas to biplanar X-ray images","publication_year":2022,"publication_date":"2022-03-16","ids":{"openalex":"https://openalex.org/W4221013358","doi":"https://doi.org/10.1007/s11548-022-02586-3","pmid":"https://pubmed.ncbi.nlm.nih.gov/35294717"},"language":"en","primary_location":{"id":"doi:10.1007/s11548-022-02586-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-022-02586-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-022-02586-3.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11548-022-02586-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036282658","display_name":"Jeroen Van Houtte","orcid":"https://orcid.org/0000-0001-7520-7143"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jeroen Van Houtte","raw_affiliation_strings":["imec-Visionlab, University of Antwerp, 2610, Antwerp, Belgium. jeroen.vanhoutte@uantwerpen.be","\u00b5NEURO Research Centre of Excellence, University of Antwerp, 2610, Antwerp, Belgium. jeroen.vanhoutte@uantwerpen.be","imec-Visionlab, University of Antwerp, 2610, Antwerp, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-7520-7143","affiliations":[{"raw_affiliation_string":"imec-Visionlab, University of Antwerp, 2610, Antwerp, Belgium. jeroen.vanhoutte@uantwerpen.be","institution_ids":["https://openalex.org/I149213910"]},{"raw_affiliation_string":"\u00b5NEURO Research Centre of Excellence, University of Antwerp, 2610, Antwerp, Belgium. jeroen.vanhoutte@uantwerpen.be","institution_ids":["https://openalex.org/I149213910"]},{"raw_affiliation_string":"imec-Visionlab, University of Antwerp, 2610, Antwerp, Belgium","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001279361","display_name":"Emmanuel Audenaert","orcid":"https://orcid.org/0000-0001-5508-6743"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Emmanuel Audenaert","raw_affiliation_strings":["Department Human Structure and Repair, University Ghent, 9000, Ghent, Belgium","Department of Electromechanics, Op3Mech Research Group, University of Antwerp, 2020, Antwerp, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Human Structure and Repair, University Ghent, 9000, Ghent, Belgium","institution_ids":[]},{"raw_affiliation_string":"Department of Electromechanics, Op3Mech Research Group, University of Antwerp, 2020, Antwerp, Belgium","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088035307","display_name":"Guoyan Zheng","orcid":"https://orcid.org/0000-0003-4173-0379"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoyan Zheng","raw_affiliation_strings":["Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. guoyan.zheng@ieee.org","Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. guoyan.zheng@ieee.org","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Medical Robotics, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054696921","display_name":"Jan Sijbers","orcid":"https://orcid.org/0000-0003-4225-2487"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jan Sijbers","raw_affiliation_strings":["imec-Visionlab, University of Antwerp, 2610, Antwerp, Belgium","\u00b5NEURO Research Centre of Excellence, University of Antwerp, 2610, Antwerp, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"imec-Visionlab, University of Antwerp, 2610, Antwerp, Belgium","institution_ids":["https://openalex.org/I149213910"]},{"raw_affiliation_string":"\u00b5NEURO Research Centre of Excellence, University of Antwerp, 2610, Antwerp, Belgium","institution_ids":["https://openalex.org/I149213910"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088035307"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":4390,"currency":"USD","value_usd":4390},"apc_paid":{"value":4390,"currency":"USD","value_usd":4390},"fwci":1.8629,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.86402863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":"7","first_page":"1333","last_page":"1342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.47760000824928284,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.47760000824928284,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.1729000061750412,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.04129999876022339,"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/atlas","display_name":"Atlas (anatomy)","score":0.8293557167053223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6950039863586426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6198639273643494},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.564994752407074},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5530256032943726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5515576601028442},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.5330967307090759},{"id":"https://openalex.org/keywords/orthographic-projection","display_name":"Orthographic projection","score":0.49244675040245056},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28250521421432495},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2198939025402069},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1254386007785797},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09896603226661682}],"concepts":[{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.8293557167053223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6950039863586426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6198639273643494},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.564994752407074},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5530256032943726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5515576601028442},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.5330967307090759},{"id":"https://openalex.org/C175694140","wikidata":"https://www.wikidata.org/wiki/Q980329","display_name":"Orthographic projection","level":2,"score":0.49244675040245056},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28250521421432495},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2198939025402069},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1254386007785797},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09896603226661682},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014965","descriptor_name":"X-Rays","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1007/s11548-022-02586-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-022-02586-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-022-02586-3.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},{"id":"pmid:35294717","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35294717","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":"International journal of computer assisted radiology and surgery","raw_type":null},{"id":"pmh:c:irua:187268","is_oa":false,"landing_page_url":"https://hdl.handle.net/10067/1872680151162165141","pdf_url":null,"source":{"id":"https://openalex.org/S4306401849","display_name":"Institutional Repository University of Antwerp (University of Antwerp)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149213910","host_organization_name":"University of Antwerp","host_organization_lineage":["https://openalex.org/I149213910"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:archive.ugent.be:8752542","is_oa":true,"landing_page_url":"https://biblio.ugent.be/publication/8752542","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1861-6429","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9206611","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9206611","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int J Comput Assist Radiol Surg","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s11548-022-02586-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11548-022-02586-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11548-022-02586-3.pdf","source":{"id":"https://openalex.org/S181408163","display_name":"International Journal of Computer Assisted Radiology and Surgery","issn_l":"1861-6410","issn":["1861-6410","1861-6429"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Assisted Radiology and Surgery","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1722334582","display_name":null,"funder_award_id":"U20A20199","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G2583211237","display_name":"3D deformable motion reconstruction from fluoroscopy images based on articulating statistical shape and intensity models.","funder_award_id":"1S63918N","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G6876387097","display_name":null,"funder_award_id":"FWO-SB 1S63918N","funder_id":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G7520827639","display_name":null,"funder_award_id":"U20A20199","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321730","display_name":"Fonds Wetenschappelijk Onderzoek","ror":"https://ror.org/03qtxy027"},{"id":"https://openalex.org/F4320327336","display_name":"Vlaamse regering","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4221013358.pdf","grobid_xml":"https://content.openalex.org/works/W4221013358.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1579576867","https://openalex.org/W2014089043","https://openalex.org/W2055641895","https://openalex.org/W2069708561","https://openalex.org/W2523510515","https://openalex.org/W2799913653","https://openalex.org/W2804460770","https://openalex.org/W2805658037","https://openalex.org/W2811011887","https://openalex.org/W2921508426","https://openalex.org/W2963270077","https://openalex.org/W2965761874","https://openalex.org/W2982067315","https://openalex.org/W3092242645","https://openalex.org/W3103052966","https://openalex.org/W3109389373","https://openalex.org/W3132590478","https://openalex.org/W3187145306"],"related_works":["https://openalex.org/W240272210","https://openalex.org/W1990901612","https://openalex.org/W4239527082","https://openalex.org/W2372186565","https://openalex.org/W2089645512","https://openalex.org/W2379343790","https://openalex.org/W2359967926","https://openalex.org/W2355137669","https://openalex.org/W4251903213","https://openalex.org/W2127685231"],"abstract_inverted_index":{"PURPOSE:":[0],"The":[1],"registration":[2,28,88],"of":[3,106,154,164,172,216],"a":[4,38,83,92,129,214,222,251],"3D":[5,12,43],"atlas":[6,53,99,109,228],"image":[7,44,100,229],"to":[8,18,67,77,191,208,240,254],"2D":[9,113],"radiographs":[10,219],"enables":[11],"pre-operative":[13],"planning":[14],"without":[15],"the":[16,35,42,47,103,107,111,118,124,138,152,155,200,256],"need":[17],"acquire":[19],"costly":[20],"and":[21,63,131,166],"high-dose":[22],"CT-scans.":[23],"Recently,":[24],"many":[25],"deep-learning-based":[26],"2D/3D":[27,87],"methods":[29],"have":[30,64],"been":[31,182],"proposed":[32],"which":[33],"tackle":[34],"problem":[36,126],"as":[37],"reconstruction":[39],"by":[40,74,127,220],"regressing":[41,221],"immediately":[45],"from":[46,147,213],"radiographs,":[48],"rather":[49],"than":[50],"registering":[51],"an":[52,98,160,167,227],"image.":[54],"Consequently,":[55],"they":[56,72],"are":[57],"less":[58],"constrained":[59,239],"against":[60],"unfeasible":[61],"reconstructions":[62],"no":[65],"possibility":[66],"warp":[68],"auxiliary":[69,233],"data.":[70,234],"Finally,":[71],"are,":[73],"construction,":[75],"limited":[76],"orthogonal":[78,241],"projections.":[79],"METHODS:":[80],"We":[81,115],"propose":[82],"novel":[84],"end-to-end":[85],"trainable":[86],"network":[89,158,205,257],"that":[90,96,102,184,225],"regresses":[91],"dense":[93],"deformation":[94,223],"field":[95,224],"warps":[97,226],"such":[101],"forward":[104],"projection":[105,119,185,195],"warped":[108],"matches":[110],"input":[112],"radiographs.":[114,260],"effectively":[116],"take":[117],"matrix":[120],"into":[121,137],"account":[122],"in":[123,199,246],"regression":[125],"integrating":[128],"projective":[130,133],"inverse":[132],"spatial":[134],"transform":[135],"layer":[136],"network.":[139,156],"RESULTS:":[140],"Comprehensive":[141],"experiments":[142],"conducted":[143],"on":[144,175],"simulated":[145],"DRRs":[146],"patient":[148],"CT":[149],"images":[150],"demonstrate":[151],"efficacy":[153],"Our":[157,204,235],"yields":[159],"average":[161,168],"Dice":[162],"score":[163],"0.94":[165],"symmetric":[169],"surface":[170],"distance":[171],"0.84":[173],"mm":[174],"our":[176],"test":[177],"dataset.":[178],"It":[179,249],"has":[180],"experimentally":[181],"determined":[183],"geometries":[186],"with":[187],"80[Formula:":[188],"see":[189,193],"text]":[190,194],"100[Formula:":[192],"angle":[196],"difference":[197],"result":[198],"highest":[201],"accuracy.":[202],"CONCLUSION:":[203],"is":[206,237],"able":[207],"accurately":[209],"reconstruct":[210],"patient-specific":[211],"CT-images":[212],"pair":[215],"near-orthogonal":[217],"calibrated":[218],"or":[230],"any":[231],"other":[232],"method":[236],"not":[238],"projections,":[242],"increasing":[243],"its":[244],"applicability":[245],"medical":[247],"practices.":[248],"remains":[250],"future":[252],"task":[253],"extend":[255],"for":[258],"uncalibrated":[259]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}