{"id":"https://openalex.org/W4386352640","doi":"https://doi.org/10.1109/isbi53787.2023.10230425","title":"Spatially-Consistent Implicit Volumetric Function for Uni- and Bi-Planar X-Ray-Based Computed Tomography Reconstruction","display_name":"Spatially-Consistent Implicit Volumetric Function for Uni- and Bi-Planar X-Ray-Based Computed Tomography Reconstruction","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386352640","doi":"https://doi.org/10.1109/isbi53787.2023.10230425"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230425","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th 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/A5016397295","display_name":"Yikun Jiang","orcid":"https://orcid.org/0000-0001-8191-3343"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Jiang","raw_affiliation_strings":["Peking University,Center for Data Science,Beijing,China","Center for Data Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Center for Data Science,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Center for Data Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038943746","display_name":"Xiaoru Yuan","orcid":"https://orcid.org/0000-0002-7233-980X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoru Yuan","raw_affiliation_strings":["Peking University,Key Laboratory of Machine Perception, School of Intelligence Science and Technology,Beijing,China","Key Laboratory of Machine Perception, School of Intelligence Science and Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Key Laboratory of Machine Perception, School of Intelligence Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception, School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051110215","display_name":"Yuru Pei","orcid":"https://orcid.org/0000-0001-8520-3509"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuru Pei","raw_affiliation_strings":["Peking University,Key Laboratory of Machine Perception, School of Intelligence Science and Technology,Beijing,China","Key Laboratory of Machine Perception, School of Intelligence Science and Technology, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University,Key Laboratory of Machine Perception, School of Intelligence Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Key Laboratory of Machine Perception, School of Intelligence Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.4325,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66603192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991000294685364,"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":0.9991000294685364,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9926000237464905,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.989799976348877,"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/voxel","display_name":"Voxel","score":0.8025944232940674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6397228837013245},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.588283360004425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5871977806091309},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5755907893180847},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.568179726600647},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5428400635719299},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5282824635505676},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.43647050857543945},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.426575630903244},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42578965425491333},{"id":"https://openalex.org/keywords/planar","display_name":"Planar","score":0.4142799377441406},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.4129279851913452},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.27479037642478943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2679089605808258},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2265210747718811},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15078511834144592},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1449931561946869}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.8025944232940674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6397228837013245},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.588283360004425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5871977806091309},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5755907893180847},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.568179726600647},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5428400635719299},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5282824635505676},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.43647050857543945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.426575630903244},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42578965425491333},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.4142799377441406},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.4129279851913452},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.27479037642478943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2679089605808258},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2265210747718811},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15078511834144592},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1449931561946869},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230425","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isbi53787.2023.10230425","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2136325898","https://openalex.org/W2344328023","https://openalex.org/W2556802233","https://openalex.org/W2613277324","https://openalex.org/W2803086176","https://openalex.org/W2805658037","https://openalex.org/W2922270091","https://openalex.org/W2942898086","https://openalex.org/W2962759210","https://openalex.org/W2965761874","https://openalex.org/W2982067315","https://openalex.org/W3109585842","https://openalex.org/W3135561888","https://openalex.org/W3165336407","https://openalex.org/W3176368002","https://openalex.org/W3195875706","https://openalex.org/W3202371506","https://openalex.org/W3203090567","https://openalex.org/W4286616024","https://openalex.org/W4286963186","https://openalex.org/W6791618578","https://openalex.org/W6802410880"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W946352265","https://openalex.org/W3020787026","https://openalex.org/W2334479858","https://openalex.org/W2793786119"],"abstract_inverted_index":{"We":[0,23],"introduce":[1],"a":[2,25,70],"spatially-consistent":[3],"implicit":[4,34],"f":[5],"unction":[6],"representation":[7,52],"(sci-f)":[8],"for":[9,90],"high-resolution":[10],"volumetric":[11],"computed":[12],"tomography":[13],"(CT)":[14],"image":[15],"recovery":[16,72,119],"from":[17,60,120],"uni-":[18],"and":[19,42,66,92],"bi-planar":[20],"X-ray":[21],"images.":[22],"devise":[24],"deep":[26,56,129],"end-to-end":[27],"learning":[28,104],"scheme":[29],"to":[30],"parameterize":[31],"the":[32,38,44,49,54,64,79,87,110,113],"unified":[33],"function":[35],"conditioned":[36],"on":[37],"input":[39],"2D":[40,62,80],"X-rays":[41],"predict":[43],"3D":[45,88,95],"anatomies.":[46],"Instead":[47],"of":[48,97,101,105,112],"discretized":[50],"voxel":[51,85],"in":[53,116],"existing":[55,102],"learning-based":[57],"CT":[58,131],"reconstruction":[59,96],"sparse":[61],"X-rays,":[63,123],"lightweight":[65],"memory-efficient":[67],"sci-f":[68,77],"enables":[69],"volume":[71,118],"with":[73,82,124],"continuous":[74],"resolutions.":[75],"The":[76],"bridges":[78],"pixels":[81],"their":[83],"counterpart":[84],"through":[86],"ray":[89],"generalized":[91],"spatially":[93],"consistent":[94],"anatomical":[98],"structures,":[99],"instead":[100],"per-subject":[103],"neural":[106],"representation.":[107],"Experiments":[108],"demonstrate":[109],"efficacy":[111],"proposed":[114],"approach":[115],"X-ray-based":[117,130],"clinically":[121],"obtained":[122],"performance":[125],"gains":[126],"over":[127],"state-of-the-art":[128],"reconstruction.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
