{"id":"https://openalex.org/W3138542141","doi":"https://doi.org/10.1109/tmi.2021.3066318","title":"Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer","display_name":"Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer","publication_year":2021,"publication_date":"2021-03-17","ids":{"openalex":"https://openalex.org/W3138542141","doi":"https://doi.org/10.1109/tmi.2021.3066318","mag":"3138542141","pmid":"https://pubmed.ncbi.nlm.nih.gov/33729929"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3066318","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3066318","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/9469008/09380210.pdf","source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/42/9469008/09380210.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085149886","display_name":"Bo Zhou","orcid":"https://orcid.org/0000-0002-2906-0897"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Zhou","raw_affiliation_strings":["Department of Biomedical Engineering, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-2906-0897","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028465673","display_name":"S. Kevin Zhou","orcid":"https://orcid.org/0000-0002-6881-4444"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"S. Kevin Zhou","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6881-4444","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046673670","display_name":"James S. Duncan","orcid":"https://orcid.org/0000-0002-5167-9856"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James S. Duncan","raw_affiliation_strings":["Department of Biomedical Engineering, Yale University, New Haven, CT, USA","Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-5167-9856","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100705184","display_name":"Chi Liu","orcid":"https://orcid.org/0000-0002-7007-1037"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chi Liu","raw_affiliation_strings":["Department of Biomedical Engineering, Yale University, New Haven, CT, USA","Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA"],"raw_orcid":"https://orcid.org/0000-0002-7007-1037","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0795,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.97147867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"40","issue":"7","first_page":"1792","last_page":"1804"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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":1.0,"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":0.9995999932289124,"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"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":0.7620697617530823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7182434797286987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6886404156684875},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6437996029853821},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6001874208450317},{"id":"https://openalex.org/keywords/tomographic-reconstruction","display_name":"Tomographic reconstruction","score":0.5606071949005127},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5406609773635864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5230627655982971},{"id":"https://openalex.org/keywords/data-consistency","display_name":"Data consistency","score":0.5112218856811523},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.48411262035369873},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4584706425666809},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.45391446352005005},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38718539476394653},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3257848620414734},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2963123321533203}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7620697617530823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7182434797286987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6886404156684875},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6437996029853821},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6001874208450317},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.5606071949005127},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5406609773635864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5230627655982971},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.5112218856811523},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.48411262035369873},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4584706425666809},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.45391446352005005},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38718539476394653},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3257848620414734},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2963123321533203},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[{"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2021.3066318","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3066318","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/9469008/09380210.pdf","source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:33729929","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33729929","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":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8325575","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8325575","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":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/tmi.2021.3066318","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3066318","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/9469008/09380210.pdf","source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G6667080181","display_name":null,"funder_award_id":"R01EB025468","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7506218007","display_name":null,"funder_award_id":"R01 EB025468","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320308380","display_name":"Yale University","ror":"https://ror.org/03v76x132"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1659483748","https://openalex.org/W1901129140","https://openalex.org/W1925354503","https://openalex.org/W1965341600","https://openalex.org/W2037521346","https://openalex.org/W2039939700","https://openalex.org/W2045642761","https://openalex.org/W2080924368","https://openalex.org/W2094366314","https://openalex.org/W2167756354","https://openalex.org/W2441870095","https://openalex.org/W2469946482","https://openalex.org/W2574952845","https://openalex.org/W2584483805","https://openalex.org/W2594014149","https://openalex.org/W2613585861","https://openalex.org/W2738743584","https://openalex.org/W2743780012","https://openalex.org/W2751669091","https://openalex.org/W2752782242","https://openalex.org/W2753044865","https://openalex.org/W2754956769","https://openalex.org/W2775397671","https://openalex.org/W2791646708","https://openalex.org/W2791871435","https://openalex.org/W2791928117","https://openalex.org/W2796256498","https://openalex.org/W2803224943","https://openalex.org/W2883683269","https://openalex.org/W2888493720","https://openalex.org/W2891177516","https://openalex.org/W2891385369","https://openalex.org/W2891869668","https://openalex.org/W2944947940","https://openalex.org/W2963392702","https://openalex.org/W2963420686","https://openalex.org/W2963663752","https://openalex.org/W2963891322","https://openalex.org/W2963986095","https://openalex.org/W2964121744","https://openalex.org/W2964335577","https://openalex.org/W2982486437","https://openalex.org/W2999942426","https://openalex.org/W3000775737","https://openalex.org/W3012956770","https://openalex.org/W3034546843","https://openalex.org/W3095864613","https://openalex.org/W3098281398","https://openalex.org/W3103372211","https://openalex.org/W3103454039","https://openalex.org/W3103586216","https://openalex.org/W3105751747","https://openalex.org/W3120864894","https://openalex.org/W3216413570","https://openalex.org/W4230764897","https://openalex.org/W4289671069","https://openalex.org/W4292101282","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6737517745","https://openalex.org/W6754480140","https://openalex.org/W6783166079"],"related_works":["https://openalex.org/W4386634531","https://openalex.org/W2088308468","https://openalex.org/W170151271","https://openalex.org/W2947117330","https://openalex.org/W2295596929","https://openalex.org/W2137532034","https://openalex.org/W2077694017","https://openalex.org/W1574221054","https://openalex.org/W2087312114","https://openalex.org/W2982317495"],"abstract_inverted_index":{"Limited":[0],"view":[1,20,62,66,165],"tomographic":[2,8],"reconstruction":[3,36,63,162,185],"aims":[4],"to":[5,42,57,96,182],"reconstruct":[6],"a":[7,11,35,97,105,147],"image":[9,90],"from":[10,18,38,64],"limited":[12,22,65,160],"number":[13],"of":[14,45,87,113],"projection":[15,120],"views":[16],"arising":[17],"sparse":[19,164],"or":[21,29],"angle":[23,161],"acquisitions":[24],"that":[25,143,177],"reduce":[26],"radiation":[27],"dose":[28],"shorten":[30],"scanning":[31],"time.":[32],"However,":[33],"such":[34],"suffers":[37],"severe":[39],"artifacts":[40],"due":[41],"the":[43,60,72,82,85,88,92,153],"incompleteness":[44],"sinogram.":[46],"To":[47],"derive":[48],"quality":[49],"reconstruction,":[50],"previous":[51],"methods":[52,70,127,157],"use":[53],"UNet-like":[54],"neural":[55,155],"architectures":[56],"directly":[58],"predict":[59],"full":[61],"data;":[67],"but":[68],"these":[69],"leave":[71],"deep":[73],"network":[74,111,156],"architecture":[75],"issue":[76],"largely":[77],"intact":[78],"and":[79,91,119,149,163],"cannot":[80],"guarantee":[81],"consistency":[83],"between":[84],"sinogram":[86],"reconstructed":[89],"acquired":[93],"sinogram,":[94],"leading":[95],"non-ideal":[98],"reconstruction.":[99,166],"In":[100,167],"this":[101],"work,":[102],"we":[103],"propose":[104],"cascaded":[106],"residual":[107,114],"dense":[108,115],"spatial-channel":[109,116],"attention":[110,117],"consisting":[112],"networks":[118],"data":[121],"fidelity":[122],"layers.":[123],"We":[124],"evaluate":[125],"our":[126,144,169,178],"on":[128,134,158,172],"two":[129],"datasets.":[130],"Our":[131],"experimental":[132,170],"results":[133,171],"AAPM":[135],"Low":[136],"Dose":[137],"CT":[138],"Grand":[139],"Challenge":[140],"datasets":[141,175],"demonstrate":[142,176],"algorithm":[145],"achieves":[146],"consistent":[148],"substantial":[150],"improvement":[151],"over":[152],"existing":[154],"both":[159],"addition,":[168],"Deep":[173],"Lesion":[174],"method":[179],"is":[180],"able":[181],"generate":[183],"high-quality":[184],"for":[186],"8":[187],"major":[188],"lesion":[189],"types.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
