{"id":"https://openalex.org/W7128733572","doi":"https://doi.org/10.48550/arxiv.2602.10722","title":"A Diffusion-Based Generative Prior Approach to Sparse-view Computed Tomography","display_name":"A Diffusion-Based Generative Prior Approach to Sparse-view Computed Tomography","publication_year":2026,"publication_date":"2026-02-11","ids":{"openalex":"https://openalex.org/W7128733572","doi":"https://doi.org/10.48550/arxiv.2602.10722"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.10722","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019031326","display_name":"Davide Evangelista","orcid":"https://orcid.org/0000-0001-6261-7717"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Evangelista, Davide","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066591000","display_name":"Pasquale Cascarano","orcid":"https://orcid.org/0000-0002-1475-2751"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cascarano, Pasquale","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125441465","display_name":"Elena Loli Piccolomini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Piccolomini, Elena Loli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5184999704360962,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5184999704360962,"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":0.1665000021457672,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.05429999902844429,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6543999910354614},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6419000029563904},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5867999792098999},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5572999715805054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5055999755859375},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.492000013589859},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47940000891685486},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.45879998803138733}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7181000113487244},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6543999910354614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538000106811523},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6419000029563904},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5867999792098999},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5572999715805054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5055999755859375},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.492000013589859},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47940000891685486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4677000045776367},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.45879998803138733},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.450300008058548},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2800999879837036},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.26330000162124634},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.10722","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.10722","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.10722","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.10722","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.5026169419288635,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,16,145],"reconstruction":[1,75,117],"of":[2,18,40,62,76,89,98],"X-rays":[3],"CT":[4,77],"images":[5,78],"from":[6,79],"sparse":[7,83,151],"or":[8],"limited-angle":[9],"geometries":[10,152],"is":[11,66,159],"a":[12,90,99],"highly":[13,150],"challenging":[14],"task.":[15],"lack":[17],"data":[19],"typically":[20],"results":[21,146],"in":[22,24,44,162],"artifacts":[23],"the":[25,38,54,60,74,87,95,123,126,132],"reconstructed":[26],"image":[27,121],"and":[28,50,125],"may":[29],"even":[30,148],"lead":[31],"to":[32,85,115,130,142],"object":[33],"distortions.":[34],"For":[35],"this":[36,45,163],"reason,":[37],"use":[39,61],"deep":[41],"generative":[42,64,96],"models":[43,65],"context":[46],"has":[47],"great":[48],"interest":[49],"potential":[51],"success.":[52],"In":[53],"Deep":[55],"Generative":[56],"Prior":[57],"(DGP)":[58],"framework,":[59],"diffusion-based":[63],"combined":[67],"with":[68,140],"an":[69],"iterative":[70,127],"optimization":[71],"algorithm":[72,128],"for":[73,135],"sinograms":[80],"acquired":[81],"under":[82,149],"geometries,":[84],"maintain":[86],"explainability":[88],"model-based":[91],"approach":[92],"while":[93],"introducing":[94],"power":[97],"neural":[100],"network.":[101],"There":[102],"are":[103,153],"therefore":[104],"several":[105],"aspects":[106],"that":[107],"can":[108],"be":[109],"further":[110,157],"investigated":[111],"within":[112],"these":[113],"frameworks":[114],"improve":[116],"quality,":[118],"such":[119],"as":[120],"generation,":[122],"model,":[124],"used":[129],"solve":[131],"minimization":[133],"problem,":[134],"which":[136],"we":[137],"propose":[138],"modifications":[139],"respect":[141],"existing":[143],"approaches.":[144],"obtained":[147],"very":[154],"promising,":[155],"although":[156],"research":[158],"clearly":[160],"needed":[161],"direction.":[164]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-13T00:00:00"}