{"id":"https://openalex.org/W3033136163","doi":"https://doi.org/10.1109/tmi.2021.3136553","title":"Deep Learning Based Joint PET Image Reconstruction and Motion Estimation","display_name":"Deep Learning Based Joint PET Image Reconstruction and Motion Estimation","publication_year":2021,"publication_date":"2021-12-20","ids":{"openalex":"https://openalex.org/W3033136163","doi":"https://doi.org/10.1109/tmi.2021.3136553","mag":"3033136163","pmid":"https://pubmed.ncbi.nlm.nih.gov/34928789"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2021.3136553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3136553","pdf_url":null,"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":null,"license_id":null,"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":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9064915","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100393736","display_name":"Tiantian Li","orcid":"https://orcid.org/0000-0002-3621-5420"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tiantian Li","raw_affiliation_strings":["Department of Biomedical Engineering, University of California at Davis, Davis, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3621-5420","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of California at Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675182","display_name":"Mengxi Zhang","orcid":"https://orcid.org/0000-0002-2996-5346"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengxi Zhang","raw_affiliation_strings":["Department of Biomedical Engineering, University of California at Davis, Davis, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of California at Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102326460","display_name":"Wenyuan Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119835","display_name":"Canon (United States)","ror":"https://ror.org/02jv94566","country_code":"US","type":"company","lineage":["https://openalex.org/I1320697193","https://openalex.org/I4210119835"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyuan Qi","raw_affiliation_strings":["Canon Medical Research USA Inc., Vernon Hills, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Canon Medical Research USA Inc., Vernon Hills, IL, USA","institution_ids":["https://openalex.org/I4210119835"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062955030","display_name":"Evren Asma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119835","display_name":"Canon (United States)","ror":"https://ror.org/02jv94566","country_code":"US","type":"company","lineage":["https://openalex.org/I1320697193","https://openalex.org/I4210119835"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evren Asma","raw_affiliation_strings":["Canon Medical Research USA Inc., Vernon Hills, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Canon Medical Research USA Inc., Vernon Hills, IL, USA","institution_ids":["https://openalex.org/I4210119835"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010514255","display_name":"Jinyi Qi","orcid":"https://orcid.org/0000-0002-5428-0322"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinyi Qi","raw_affiliation_strings":["Department of Biomedical Engineering, University of California at Davis, Davis, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5428-0322","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of California at Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100393736"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":1.2534,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.78381124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"41","issue":"5","first_page":"1230","last_page":"1241"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9991999864578247,"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":0.9977999925613403,"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":0.722920298576355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6811112761497498},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6599821448326111},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6141675710678101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6112151741981506},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5859278440475464},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5406894087791443},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4902675449848175},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4491559565067291},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35704851150512695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3336683511734009},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3168255090713501}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.722920298576355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811112761497498},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6599821448326111},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6141675710678101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6112151741981506},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5859278440475464},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5406894087791443},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4902675449848175},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4491559565067291},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35704851150512695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3336683511734009},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3168255090713501},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","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":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1109/tmi.2021.3136553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2021.3136553","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:34928789","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34928789","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:ark:/13030/qt25p6191k","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:escholarship.org:ark:/13030/qt25p6191k","is_oa":false,"landing_page_url":"https://escholarship.org/uc/item/25p6191k","pdf_url":null,"source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging, vol 41, iss 5","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9064915","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9064915","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9064915","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9064915","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G377199885","display_name":null,"funder_award_id":"U01EB029811","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G7213535819","display_name":null,"funder_award_id":"R01 EB000194","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"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":47,"referenced_works":["https://openalex.org/W1968941901","https://openalex.org/W1983281817","https://openalex.org/W1987262264","https://openalex.org/W2017162022","https://openalex.org/W2031368339","https://openalex.org/W2060411371","https://openalex.org/W2075029962","https://openalex.org/W2083862835","https://openalex.org/W2144145187","https://openalex.org/W2164278908","https://openalex.org/W2200999894","https://openalex.org/W2261951349","https://openalex.org/W2473606915","https://openalex.org/W2529068459","https://openalex.org/W2753461941","https://openalex.org/W2761090034","https://openalex.org/W2786528432","https://openalex.org/W2787740020","https://openalex.org/W2890285912","https://openalex.org/W2890761445","https://openalex.org/W2891631795","https://openalex.org/W2904398937","https://openalex.org/W2909887812","https://openalex.org/W2921924964","https://openalex.org/W2947549751","https://openalex.org/W2947679489","https://openalex.org/W2947716587","https://openalex.org/W2963385325","https://openalex.org/W2963904328","https://openalex.org/W2970706255","https://openalex.org/W2982686793","https://openalex.org/W2983976417","https://openalex.org/W2987283719","https://openalex.org/W2996353918","https://openalex.org/W3003857389","https://openalex.org/W3048775276","https://openalex.org/W3095864613","https://openalex.org/W3098269293","https://openalex.org/W3100018800","https://openalex.org/W3101582631","https://openalex.org/W3104164805","https://openalex.org/W3113028252","https://openalex.org/W3157423176","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6693160280","https://openalex.org/W6767317149"],"related_works":["https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2888483922","https://openalex.org/W4396737233","https://openalex.org/W2107386309","https://openalex.org/W2545869789","https://openalex.org/W2141090006","https://openalex.org/W1964555484","https://openalex.org/W3048932468","https://openalex.org/W2148504016"],"abstract_inverted_index":{"Respiratory":[0],"motion":[1,9,22,38,76],"is":[2,58,125],"one":[3],"of":[4,8,44,47,55,132,138],"the":[5,117,128,139,150,189,199,207,211,229,237],"main":[6],"sources":[7],"artifacts":[10],"in":[11],"positron":[12],"emission":[13,18],"tomography":[14],"(PET)":[15],"imaging.":[16],"The":[17,53,97,121,136],"image":[19,72,88,95,115,177,201,231],"and":[20,145,173,205,223,232],"patient":[21],"can":[23],"be":[24],"estimated":[25],"simultaneously":[26],"from":[27],"respiratory":[28],"gated":[29,109,239],"data":[30,213],"through":[31],"a":[32,45,61,68,80,86,92,103,113,157],"joint":[33,63,81,98,153,160,192],"estimation":[34,39,64,82,99,154,193],"framework.":[35],"However,":[36],"conventional":[37],"methods":[40],"based":[41],"on":[42],"registration":[43,73,89,178],"pair":[46],"images":[48,110],"are":[49],"sensitive":[50],"to":[51,59,112,198,228],"noise.":[52],"goal":[54],"this":[56],"study":[57,186],"develop":[60],"robust":[62],"method":[65,131,194,217],"that":[66,188],"incorporates":[67],"deep":[69,118],"learning":[70],"(DL)-based":[71],"approach":[74],"for":[75,182],"estimation.":[77,161],"We":[78,148],"propose":[79],"framework":[83],"by":[84,127,169],"incorporating":[85],"learned":[87],"network":[90],"into":[91],"regularized":[93],"PET":[94],"reconstruction.":[96],"was":[100,141],"formulated":[101],"as":[102],"constrained":[104,122],"optimization":[105,123],"problem":[106,124],"with":[107,156],"moving":[108],"related":[111],"fixed":[114],"via":[116],"neural":[119],"network.":[120],"solved":[126],"alternating":[129],"direction":[130],"multipliers":[133],"(ADMM)":[134],"algorithm.":[135],"effectiveness":[137],"algorithm":[140,155],"demonstrated":[142],"using":[143,165],"simulated":[144],"real":[146,212],"data.":[147],"compared":[149,197,227],"proposed":[151,190,216],"DL-ADMM":[152,191],"monotonic":[158],"iterative":[159,174],"Motion":[162],"compensated":[163],"reconstructions":[164],"pre-calculated":[166],"deformation":[167],"fields":[168],"DL-based":[170],"(DL-MC":[171],"recon)":[172,176],"(iterative-MC":[175],"were":[179],"also":[180,218],"included":[181],"comparison.":[183],"Our":[184],"simulation":[185],"shows":[187],"reduces":[195],"bias":[196],"ungated":[200,230],"without":[202],"increasing":[203],"noise":[204,235],"outperforms":[206],"competing":[208],"methods.":[209],"In":[210],"study,":[214],"our":[215],"generated":[219],"higher":[220],"lesion":[221],"contrast":[222],"sharper":[224],"liver":[225],"boundaries":[226],"had":[233],"lower":[234],"than":[236],"reference":[238],"image.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
