{"id":"https://openalex.org/W7127451971","doi":"https://doi.org/10.48550/arxiv.2602.00184","title":"Visible Singularities Guided Correlation Network for Limited-Angle CT Reconstruction","display_name":"Visible Singularities Guided Correlation Network for Limited-Angle CT Reconstruction","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7127451971","doi":"https://doi.org/10.48550/arxiv.2602.00184"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.00184","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","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/A5124960663","display_name":"Yiyang Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wen, Yiyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124879466","display_name":"Liu Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124914601","display_name":"Zekun Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zekun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041010926","display_name":"Wenzhe Shan","orcid":"https://orcid.org/0000-0001-9223-7272"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shan, WenZhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5122928781","display_name":"Qiegen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Qiegen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5124960663"],"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.7767000198364258,"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":0.7767000198364258,"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":0.13519999384880066,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.03519999980926514,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/focus","display_name":"Focus (optics)","score":0.6201000213623047},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5370000004768372},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5146999955177307},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5034000277519226},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4884999990463257},{"id":"https://openalex.org/keywords/gravitational-singularity","display_name":"Gravitational singularity","score":0.45829999446868896},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.397599995136261},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3783000111579895}],"concepts":[{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6201000213623047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763999819755554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5412999987602234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.539900004863739},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5370000004768372},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5146999955177307},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5034000277519226},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46160000562667847},{"id":"https://openalex.org/C12843","wikidata":"https://www.wikidata.org/wiki/Q201721","display_name":"Gravitational singularity","level":2,"score":0.45829999446868896},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.397599995136261},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3783000111579895},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3758000135421753},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3337000012397766},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3287999927997589},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2953000068664551},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.00184","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.00184","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.00184","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.00184","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":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Limited-angle":[0],"computed":[1],"tomography":[2],"(LACT)":[3],"offers":[4],"the":[5,36,46,53,67,77,87,126,136,144,158,180,185,204,211],"advantages":[6],"of":[7,38,50,55,60,69,79,92,109,112,143,184,207,214],"reduced":[8],"radiation":[9],"dose":[10],"and":[11,57,81,124,140,167,175,182,210],"shortened":[12],"scanning":[13],"time.":[14],"Traditional":[15],"reconstruction":[16,29,104],"algorithms":[17],"exhibit":[18],"various":[19],"inherent":[20],"limitations":[21],"in":[22,72,162,189,199],"LACT.":[23],"Currently,":[24],"most":[25],"deep":[26],"learning-based":[27],"LACT":[28,103,122],"methods":[30],"focus":[31,125],"on":[32,129,172],"multi-domain":[33],"fusion":[34],"or":[35],"introduction":[37],"generic":[39],"priors,":[40],"failing":[41],"to":[42,156,160,178],"fully":[43],"align":[44],"with":[45,151,191,203],"core":[47,89,114],"imaging":[48,90],"characteristics":[49,91],"LACT-such":[51],"as":[52],"directionality":[54],"artifacts":[56],"directional":[58],"loss":[59,149],"structural":[61],"information,":[62],"which":[63],"are":[64,170],"caused":[65],"by":[66,76],"absence":[68],"projection":[70],"angles":[71],"certain":[73],"directions.":[74],"Inspired":[75],"theory":[78],"visible":[80],"invisible":[82],"singularities,":[83],"taking":[84],"into":[85],"account":[86],"aforementioned":[88],"LACT,":[93],"we":[94],"propose":[95],"a":[96,147],"Visible":[97],"Singularities":[98],"Guided":[99],"Correlation":[100],"network":[101],"for":[102],"(VSGC).":[105],"The":[106,216],"design":[107],"philosophy":[108],"VSGC":[110,194],"consists":[111],"two":[113],"steps:":[115],"First,":[116],"extract":[117],"VS":[118,137],"edge":[119,138],"features":[120,139],"from":[121],"images":[123],"model's":[127],"attention":[128],"these":[130],"VS.":[131],"Second,":[132],"establish":[133],"correlations":[134],"between":[135],"other":[141],"regions":[142],"image.":[145],"Additionally,":[146],"multi-scale":[148],"function":[150],"anisotropic":[152],"constraint":[153],"is":[154,218],"employed":[155],"constrain":[157],"model":[159],"converge":[161],"multiple":[163],"aspects.":[164],"Finally,":[165],"qualitative":[166],"quantitative":[168],"validations":[169],"conducted":[171],"both":[173],"simulated":[174],"real":[176],"datasets":[177],"verify":[179],"effectiveness":[181],"feasibility":[183],"proposed":[186],"design.":[187],"Particularly,":[188],"comparison":[190],"alternative":[192],"methods,":[193],"delivers":[195],"more":[196],"prominent":[197],"performance":[198],"small":[200],"angular":[201],"ranges,":[202],"PSNR":[205],"improvement":[206],"2.45":[208],"dB":[209],"SSIM":[212],"enhancement":[213],"1.5\\%.":[215],"code":[217],"publicly":[219],"available":[220],"at":[221],"https://github.com/yqx7150/VSGC.":[222]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-02-04T00:00:00"}
