{"id":"https://openalex.org/W4401752063","doi":"https://doi.org/10.1109/isbi56570.2024.10635353","title":"Reconstructing Knee CT Volumes from Biplanar X-Rays Via Self-Supervised Neural Field","display_name":"Reconstructing Knee CT Volumes from Biplanar X-Rays Via Self-Supervised Neural Field","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401752063","doi":"https://doi.org/10.1109/isbi56570.2024.10635353"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635353","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5113342781","display_name":"Shuyang Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuyang Lai","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086474293","display_name":"Xuanyu Tian","orcid":"https://orcid.org/0009-0009-6724-373X"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanyu Tian","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102466156","display_name":"Qing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wu","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111350799","display_name":"Chenhe Du","orcid":"https://orcid.org/0000-0002-1834-4309"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhe Du","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085557984","display_name":"Xiaojun Xu","orcid":"https://orcid.org/0000-0002-0127-2812"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Xu","raw_affiliation_strings":["Zhejiang University School of Medicine,The Second Affiliated Hospital,Department of Radiology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University School of Medicine,The Second Affiliated Hospital,Department of Radiology,Hangzhou,China","institution_ids":["https://openalex.org/I4210158318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058095576","display_name":"Hongjiang Wei","orcid":"https://orcid.org/0000-0002-9060-4152"},"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":false,"raw_author_name":"Hongjiang Wei","raw_affiliation_strings":["Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021263152","display_name":"Xiaojun Guan","orcid":"https://orcid.org/0000-0003-2313-4477"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Guan","raw_affiliation_strings":["Zhejiang University School of Medicine,The Second Affiliated Hospital,Department of Radiology,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University School of Medicine,The Second Affiliated Hospital,Department of Radiology,Hangzhou,China","institution_ids":["https://openalex.org/I4210158318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654429","display_name":"Yuyao Zhang","orcid":"https://orcid.org/0000-0001-6706-4867"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyao Zhang","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5113342781"],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12258805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9998000264167786,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9998000264167786,"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":0.9987000226974487,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9854999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6005439162254333},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5629715919494629},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5523796081542969},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47658345103263855},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.35617610812187195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19662034511566162}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6005439162254333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5629715919494629},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5523796081542969},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47658345103263855},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35617610812187195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19662034511566162},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635353","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi56570.2024.10635353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2133665775","https://openalex.org/W2146583368","https://openalex.org/W2157812230","https://openalex.org/W2549139847","https://openalex.org/W2965761874","https://openalex.org/W3036843665","https://openalex.org/W3109389373","https://openalex.org/W3165336407","https://openalex.org/W3203281102","https://openalex.org/W3213840695","https://openalex.org/W4294310873","https://openalex.org/W4296057677","https://openalex.org/W4379117105","https://openalex.org/W4387211556","https://openalex.org/W4390872720","https://openalex.org/W4391944258","https://openalex.org/W6755308174","https://openalex.org/W6780179280","https://openalex.org/W6797770180"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"X-ray":[0,83],"Computed":[1],"Tomography":[2],"(CT)":[3],"provides":[4],"rich":[5],"anatomical":[6],"details":[7,121],"that":[8,47,90],"facilitate":[9],"early":[10],"and":[11,119,129],"accurate":[12],"diagnosis.":[13],"In":[14],"certain":[15],"medical":[16],"situations,":[17],"such":[18],"as":[19],"surgical":[20],"navigation,":[21],"it":[22,48],"is":[23,41,49,66,140],"not":[24,67],"feasible":[25],"to":[26,51,69,99,126],"meet":[27],"the":[28,101,116,127,132,138,152],"extensive":[29],"multi-directional":[30],"data":[31,39,55],"acquisition":[32],"requirements":[33],"of":[34,103,122,131,142,148],"CT,":[35],"an":[36,88],"extremely":[37],"sparse":[38,57],"measurement":[40],"preferred.":[42],"Recent":[43],"research":[44],"has":[45],"shown":[46],"possible":[50],"reconstruct":[52],"3D":[53],"volumetric":[54],"from":[56,81],"views":[58],"using":[59,151],"Implicit":[60],"Neural":[61],"Representation":[62],"(INR).":[63],"However,":[64],"INR":[65],"able":[68],"share":[70],"knowledge":[71],"across":[72],"scenes,":[73],"which":[74],"limits":[75],"its":[76],"performance":[77],"in":[78,106],"CT":[79,123,146],"reconstruction":[80],"biplane":[82],"images.":[84],"Our":[85,111],"model":[86,112,139],"employs":[87],"architecture":[89],"includes":[91],"a":[92],"positional":[93],"image":[94],"feature":[95],"extraction":[96],"encoder":[97],"network":[98],"overcome":[100],"challenge":[102],"INR\u2019s":[104],"limitation":[105],"highly":[107],"underdetermined":[108],"inverse":[109],"problems.":[110],"can":[113],"accurately":[114],"capture":[115],"geometric":[117],"structure":[118],"fine-grained":[120],"scans":[124,147],"due":[125],"continuity":[128],"arbitrariness":[130],"continuous":[133],"neural":[134],"intensity":[135],"field.":[136],"Moreover,":[137],"capable":[141],"rapidly":[143],"reconstructing":[144],"knee":[145],"new":[149],"samples":[150],"trained":[153],"model.":[154]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
