{"id":"https://openalex.org/W3128355194","doi":"https://doi.org/10.1109/isbi48211.2021.9433966","title":"Prediction of Low-Kev Monochromatic Images From Polyenergetic CT Scans For Improved Automatic Detection of Pulmonary Embolism","display_name":"Prediction of Low-Kev Monochromatic Images From Polyenergetic CT Scans For Improved Automatic Detection of Pulmonary Embolism","publication_year":2021,"publication_date":"2021-04-13","ids":{"openalex":"https://openalex.org/W3128355194","doi":"https://doi.org/10.1109/isbi48211.2021.9433966","mag":"3128355194"},"language":"en","primary_location":{"id":"doi:10.1109/isbi48211.2021.9433966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2102.01445.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084474018","display_name":"Constantin Seibold","orcid":"https://orcid.org/0000-0001-6042-8437"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Constantin Seibold","raw_affiliation_strings":["Institute of Anthropomatics & Robotics, Karlsruhe Institute of Technology, Germany","Karlsruhe Institute of Technology, Institute of Anthropomatics and Robotics, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Anthropomatics & Robotics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute of Anthropomatics and Robotics, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063434903","display_name":"Matthias A. Fink","orcid":"https://orcid.org/0000-0002-0189-7070"},"institutions":[{"id":"https://openalex.org/I2802164966","display_name":"University Hospital Heidelberg","ror":"https://ror.org/013czdx64","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802164966"]},{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias A. Fink","raw_affiliation_strings":["University Hospital Heidelberg, Germany","University Hospital Heidelberg,Department of Diagnostic and Interventional Radiology,Germany"],"affiliations":[{"raw_affiliation_string":"University Hospital Heidelberg, Germany","institution_ids":["https://openalex.org/I2802164966","https://openalex.org/I223822909"]},{"raw_affiliation_string":"University Hospital Heidelberg,Department of Diagnostic and Interventional Radiology,Germany","institution_ids":["https://openalex.org/I2802164966","https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037155561","display_name":"Charlotte Goos","orcid":null},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Charlotte Goos","raw_affiliation_strings":["Institute of Anthropomatics & Robotics, Karlsruhe Institute of Technology, Germany","Karlsruhe Institute of Technology, Institute of Anthropomatics and Robotics, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Anthropomatics & Robotics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute of Anthropomatics and Robotics, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021850789","display_name":"Hans\u2010Ulrich Kauczor","orcid":"https://orcid.org/0000-0002-6730-9462"},"institutions":[{"id":"https://openalex.org/I2802164966","display_name":"University Hospital Heidelberg","ror":"https://ror.org/013czdx64","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I2802164966"]},{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hans-Ulrich Kauczor","raw_affiliation_strings":["University Hospital Heidelberg, Germany","University Hospital Heidelberg,Department of Diagnostic and Interventional Radiology,Germany"],"affiliations":[{"raw_affiliation_string":"University Hospital Heidelberg, Germany","institution_ids":["https://openalex.org/I2802164966","https://openalex.org/I223822909"]},{"raw_affiliation_string":"University Hospital Heidelberg,Department of Diagnostic and Interventional Radiology,Germany","institution_ids":["https://openalex.org/I2802164966","https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005295293","display_name":"Heinz\u2010Peter Schlemmer","orcid":"https://orcid.org/0000-0002-9291-0954"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I17937529","display_name":"German Cancer Research Center","ror":"https://ror.org/04cdgtt98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heinz-Peter Schlemmer","raw_affiliation_strings":["German Cancer Research Center, Heidelberg, Germany","German Cancer Research Center, Heidelberg, Germany.;"],"affiliations":[{"raw_affiliation_string":"German Cancer Research Center, Heidelberg, Germany","institution_ids":["https://openalex.org/I17937529","https://openalex.org/I223822909"]},{"raw_affiliation_string":"German Cancer Research Center, Heidelberg, Germany.;","institution_ids":["https://openalex.org/I17937529","https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087051920","display_name":"Rainer Stiefelhagen","orcid":"https://orcid.org/0000-0001-8046-4945"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Stiefelhagen","raw_affiliation_strings":["Institute of Anthropomatics & Robotics, Karlsruhe Institute of Technology, Germany","Karlsruhe Institute of Technology, Institute of Anthropomatics and Robotics, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Anthropomatics & Robotics, Karlsruhe Institute of Technology, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, Institute of Anthropomatics and Robotics, Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017161970","display_name":"Jens Kleesiek","orcid":"https://orcid.org/0000-0001-8686-0682"},"institutions":[{"id":"https://openalex.org/I17937529","display_name":"German Cancer Research Center","ror":"https://ror.org/04cdgtt98","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I17937529"]},{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Kleesiek","raw_affiliation_strings":["German Cancer Research Center, Heidelberg, Germany","Institute for AI in Medicine (IKIM), University Hospital Essen, Germany","German Cancer Research Center, Heidelberg, Germany.;"],"affiliations":[{"raw_affiliation_string":"German Cancer Research Center, Heidelberg, Germany","institution_ids":["https://openalex.org/I17937529","https://openalex.org/I223822909"]},{"raw_affiliation_string":"Institute for AI in Medicine (IKIM), University Hospital Essen, Germany","institution_ids":[]},{"raw_affiliation_string":"German Cancer Research Center, Heidelberg, Germany.;","institution_ids":["https://openalex.org/I17937529","https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5084474018"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01047795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1017","last_page":"1020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726778507232666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.723484456539154},{"id":"https://openalex.org/keywords/monochromatic-color","display_name":"Monochromatic color","score":0.656093180179596},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5942291021347046},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.590758204460144},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5190413594245911},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5134785771369934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4852878749370575},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48314258456230164},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4638163447380066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43865862488746643},{"id":"https://openalex.org/keywords/dual-energy","display_name":"Dual energy","score":0.4240024983882904},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3180626630783081},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11575233936309814},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11278176307678223},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10661345720291138},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06603944301605225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726778507232666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.723484456539154},{"id":"https://openalex.org/C40833965","wikidata":"https://www.wikidata.org/wiki/Q6901438","display_name":"Monochromatic color","level":2,"score":0.656093180179596},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5942291021347046},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.590758204460144},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5190413594245911},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5134785771369934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4852878749370575},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48314258456230164},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4638163447380066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43865862488746643},{"id":"https://openalex.org/C2994545362","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Dual energy","level":4,"score":0.4240024983882904},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3180626630783081},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11575233936309814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11278176307678223},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10661345720291138},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06603944301605225},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2776541429","wikidata":"https://www.wikidata.org/wiki/Q165328","display_name":"Osteoporosis","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2776886416","wikidata":"https://www.wikidata.org/wiki/Q4941567","display_name":"Bone mineral","level":3,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isbi48211.2021.9433966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi48211.2021.9433966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"mag:3128355194","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2102.01445.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:EVASTAR-Karlsruhe.de:1000134349","is_oa":false,"landing_page_url":"https://publikationen.bibliothek.kit.edu/1000134349","pdf_url":null,"source":{"id":"https://openalex.org/S4306401992","display_name":"Repository KITopen (Karlsruhe Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102335020","host_organization_name":"Karlsruhe Institute of Technology","host_organization_lineage":["https://openalex.org/I102335020"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/submittedVersion"},{"id":"doi:10.48550/arxiv.2102.01445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.01445","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":"article-journal"},{"id":"doi:10.5445/ir/1000134349","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000134349","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":[],"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"mag:3128355194","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2102.01445.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325698","display_name":"Helmholtz Association","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2291340366","https://openalex.org/W2516125082","https://openalex.org/W2595035631","https://openalex.org/W2745006834","https://openalex.org/W2963073614","https://openalex.org/W2963522749","https://openalex.org/W2963800363","https://openalex.org/W2965200717","https://openalex.org/W3023040161","https://openalex.org/W6729966448"],"related_works":["https://openalex.org/W3108848163","https://openalex.org/W2982167672","https://openalex.org/W3093199996","https://openalex.org/W3193722140","https://openalex.org/W2767768766","https://openalex.org/W2886851666","https://openalex.org/W2770185467","https://openalex.org/W3155928910","https://openalex.org/W3134238839","https://openalex.org/W3119559555","https://openalex.org/W2971204923","https://openalex.org/W2798401174","https://openalex.org/W3185901402","https://openalex.org/W50497000","https://openalex.org/W2994738434","https://openalex.org/W3012544277","https://openalex.org/W3104324122","https://openalex.org/W3032982810","https://openalex.org/W3082031304","https://openalex.org/W3124194096"],"abstract_inverted_index":{"Detector-based":[0],"spectral":[1,17,21],"computed":[2],"tomography":[3],"is":[4],"a":[5,110,131,160,187],"recent":[6],"dual-energy":[7],"CT":[8,86],"(DECT)":[9],"technology":[10],"that":[11,74,100,169],"offers":[12],"the":[13,77,128,137,163,175,178],"possibility":[14],"of":[15,25,62,79,118,130,162],"obtaining":[16],"information.":[18],"From":[19],"this":[20,65,89],"data,":[22],"different":[23],"types":[24],"images":[26,37,81],"can":[27,75],"be":[28],"derived,":[29],"amongst":[30],"others":[31],"virtual":[32],"monoenergetic":[33],"(monoE)":[34],"images.":[35],"MonoE":[36],"potentially":[38],"exhibit":[39],"decreased":[40],"artifacts,":[41],"improve":[42,174],"contrast,":[43],"and":[44,57,151],"overall":[45],"contain":[46],"lower":[47],"noise":[48],"values,":[49],"making":[50],"them":[51],"ideal":[52],"candidates":[53],"for":[54,115],"better":[55],"delineation":[56],"thus":[58],"improved":[59,140],"diagnostic":[60],"accuracy":[61],"vascular":[63],"abnormalities.In":[64],"paper,":[66],"we":[67,91,170],"are":[68,171],"training":[69],"convolutional":[70],"neural":[71],"networks":[72,138],"(CNN)":[73],"emulate":[76],"generation":[78,145],"monoE":[80],"from":[82,191],"conventional":[83],"single":[84],"energy":[85],"acquisitions.":[87],"For":[88],"task,":[90],"investigate":[92],"several":[93],"commonly":[94],"used":[95,114],"image-translation":[96],"methods.":[97],"We":[98,122],"demonstrate":[99],"these":[101,125],"methods":[102,126],"while":[103],"creating":[104],"visually":[105],"similar":[106],"outputs,":[107],"lead":[108],"to":[109,173,186,193],"poorer":[111],"performance":[112],"when":[113],"automatic":[116],"classification":[117,141,189],"pulmonary":[119],"embolism":[120],"(PE).":[121],"expand":[123],"on":[124,159],"through":[127],"use":[129],"multi-task":[132],"optimization":[133],"approach,":[134],"under":[135,177],"which":[136],"achieve":[139],"as":[142,144,147],"well":[143],"results,":[146],"reflected":[148],"by":[149],"PSNR":[150],"SSIM":[152],"scores.":[153],"Further,":[154],"evaluating":[155],"our":[156],"proposed":[157],"framework":[158],"subset":[161],"RSNAPE":[164],"challenge":[165],"data":[166],"set":[167],"shows":[168],"able":[172],"Area":[176],"Receiver":[179],"Operating":[180],"Characteristic":[181],"curve":[182],"(AuROC)":[183],"in":[184],"comparison":[185],"na\u00efve":[188],"approach":[190],"0.8142":[192],"0.8420.":[194]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
