{"id":"https://openalex.org/W2989267005","doi":"https://doi.org/10.1109/jbhi.2020.3029392","title":"User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing","display_name":"User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing","publication_year":2020,"publication_date":"2020-10-07","ids":{"openalex":"https://openalex.org/W2989267005","doi":"https://doi.org/10.1109/jbhi.2020.3029392","mag":"2989267005","pmid":"https://pubmed.ncbi.nlm.nih.gov/33027010"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2020.3029392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.3029392","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"preprint","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.duo.uio.no/bitstream/10852/80774/1/AuthorAcceptedManuscript.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019810821","display_name":"Andrew Gilbert","orcid":"https://orcid.org/0000-0001-5758-1756"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Andrew Gilbert","raw_affiliation_strings":["Department of Informatics, University of Oslo, Oslo, Norway","GE Vingmed Ultrasound, Horten, Norway"],"raw_orcid":"https://orcid.org/0000-0001-5758-1756","affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]},{"raw_affiliation_string":"GE Vingmed Ultrasound, Horten, Norway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101719544","display_name":"Marit Holden","orcid":"https://orcid.org/0000-0003-0074-0829"},"institutions":[{"id":"https://openalex.org/I144648426","display_name":"Norwegian Computing Center","ror":"https://ror.org/02gm7te43","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I144648426"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Marit Holden","raw_affiliation_strings":["Norwegian Computing Center, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian Computing Center, Oslo, Norway","institution_ids":["https://openalex.org/I144648426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012404498","display_name":"Line Eikvil","orcid":"https://orcid.org/0009-0006-9758-5747"},"institutions":[{"id":"https://openalex.org/I144648426","display_name":"Norwegian Computing Center","ror":"https://ror.org/02gm7te43","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I144648426"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Line Eikvil","raw_affiliation_strings":["Norwegian Computing Center, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian Computing Center, Oslo, Norway","institution_ids":["https://openalex.org/I144648426"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079173064","display_name":"Mariia Rakhmail","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mariia Rakhmail","raw_affiliation_strings":["GE Vingmed Ultrasound, Horten, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Vingmed Ultrasound, Horten, Norway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101601779","display_name":"Aleksandar Babi\u0107","orcid":"https://orcid.org/0000-0001-7677-2451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksandar Babic","raw_affiliation_strings":["GE Vingmed Ultrasound, Horten, Norway"],"raw_orcid":"https://orcid.org/0000-0001-7677-2451","affiliations":[{"raw_affiliation_string":"GE Vingmed Ultrasound, Horten, Norway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030320671","display_name":"Svein Arne Aase","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Svein Arne Aase","raw_affiliation_strings":["GE Vingmed Ultrasound, Horten, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Vingmed Ultrasound, Horten, Norway","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082938227","display_name":"Eigil Samset","orcid":"https://orcid.org/0000-0002-2755-2265"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Eigil Samset","raw_affiliation_strings":["Department of Informatics, University of Oslo, Oslo, Norway","GE Vingmed Ultrasound, Horten, Norway"],"raw_orcid":"https://orcid.org/0000-0002-2755-2265","affiliations":[{"raw_affiliation_string":"Department of Informatics, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]},{"raw_affiliation_string":"GE Vingmed Ultrasound, Horten, Norway","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017717812","display_name":"Kristin McLeod","orcid":"https://orcid.org/0000-0002-2469-7039"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kristin McLeod","raw_affiliation_strings":["GE Vingmed Ultrasound, Horten, Norway"],"raw_orcid":"https://orcid.org/0000-0002-2469-7039","affiliations":[{"raw_affiliation_string":"GE Vingmed Ultrasound, Horten, Norway","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1539,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48795035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"25","issue":"6","first_page":"2113","last_page":"2124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9994999766349792,"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":0.9980999827384949,"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/computer-science","display_name":"Computer science","score":0.7683569192886353},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6495286822319031},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.5827542543411255},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5265888571739197},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5150906443595886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5090543627738953},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4890969395637512},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4119831919670105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36953169107437134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7683569192886353},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6495286822319031},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.5827542543411255},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5265888571739197},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5150906443595886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5090543627738953},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4890969395637512},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4119831919670105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36953169107437134},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001331","descriptor_name":"Automation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001331","descriptor_name":"Automation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001331","descriptor_name":"Automation","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":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","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":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2020.3029392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.3029392","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:33027010","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33027010","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 journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:www.duo.uio.no:10852/80774","is_oa":true,"landing_page_url":"http://hdl.handle.net/10852/80774","pdf_url":"https://www.duo.uio.no/bitstream/10852/80774/1/AuthorAcceptedManuscript.pdf","source":{"id":"https://openalex.org/S4306401717","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2168-2194","raw_type":"info:eu-repo/semantics/article"},{"id":"mag:2989267005","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1911.02407","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}],"best_oa_location":{"id":"pmh:oai:www.duo.uio.no:10852/80774","is_oa":true,"landing_page_url":"http://hdl.handle.net/10852/80774","pdf_url":"https://www.duo.uio.no/bitstream/10852/80774/1/AuthorAcceptedManuscript.pdf","source":{"id":"https://openalex.org/S4306401717","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2168-2194","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4046844035","display_name":"Personalised In-Silico Cardiology","funder_award_id":"764738","funder_id":"https://openalex.org/F4320338337","funder_display_name":"H2020 Marie Sk\u0142odowska-Curie Actions"},{"id":"https://openalex.org/G4830748315","display_name":"Personalised In-Silico Cardiology","funder_award_id":"764738","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338337","display_name":"H2020 Marie Sk\u0142odowska-Curie Actions","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989267005.pdf","grobid_xml":"https://content.openalex.org/works/W2989267005.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W18219543","https://openalex.org/W1984541135","https://openalex.org/W2012942264","https://openalex.org/W2037916763","https://openalex.org/W2081100433","https://openalex.org/W2097117768","https://openalex.org/W2143798640","https://openalex.org/W2183341477","https://openalex.org/W2184188583","https://openalex.org/W2194775991","https://openalex.org/W2279098554","https://openalex.org/W2346062110","https://openalex.org/W2531409750","https://openalex.org/W2592929672","https://openalex.org/W2753709519","https://openalex.org/W2784710428","https://openalex.org/W2797032258","https://openalex.org/W2804268694","https://openalex.org/W2893813411","https://openalex.org/W2894839648","https://openalex.org/W2896287590","https://openalex.org/W2900555488","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2963428668","https://openalex.org/W2963446712","https://openalex.org/W2964081807","https://openalex.org/W2990123797","https://openalex.org/W4289665794","https://openalex.org/W6617145748","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6686207219","https://openalex.org/W6695314431","https://openalex.org/W6738348428","https://openalex.org/W6739365718","https://openalex.org/W6739651123","https://openalex.org/W6740164494","https://openalex.org/W6747911595","https://openalex.org/W6751421292","https://openalex.org/W6753441378"],"related_works":["https://openalex.org/W2140428482","https://openalex.org/W133530068","https://openalex.org/W2987983801","https://openalex.org/W2952089414","https://openalex.org/W1983463833","https://openalex.org/W3173228235","https://openalex.org/W3043334746","https://openalex.org/W2175082661","https://openalex.org/W2793193638","https://openalex.org/W3098152091","https://openalex.org/W3022013479","https://openalex.org/W1794732265","https://openalex.org/W2962937625","https://openalex.org/W3049093533","https://openalex.org/W2464397079","https://openalex.org/W3081600197","https://openalex.org/W3175492751","https://openalex.org/W2946900483","https://openalex.org/W2909926802","https://openalex.org/W3198619676"],"abstract_inverted_index":{"Spectral":[0],"Doppler":[1,89,100,175],"measurements":[2,13,33],"are":[3,34],"an":[4],"important":[5],"part":[6],"of":[7,31,43,152],"the":[8,41,44,55,84,94,126,144,147,153,193],"standard":[9],"echocardiographic":[10],"examination.":[11],"These":[12],"give":[14],"insight":[15],"into":[16],"myocardial":[17],"motion":[18],"and":[19,112,131,155],"blood":[20],"flow,":[21],"providing":[22],"clinicians":[23],"with":[24,37,121],"parameters":[25],"for":[26,134,198],"diagnostic":[27,45],"decision":[28],"making.":[29],"Many":[30],"these":[32],"performed":[35,64],"automatically":[36,82],"high":[38],"accuracy,":[39,129],"increasing":[40],"efficiency":[42],"pipeline.":[46],"However,":[47],"full":[48],"automation":[49],"is":[50,196],"not":[51],"yet":[52],"available":[53],"because":[54],"user":[56],"must":[57],"manually":[58],"select":[59],"which":[60],"measurement":[61,85],"should":[62],"be":[63,103],"on":[65,76,182],"each":[66,98],"image.":[67],"In":[68],"this":[69],"work,":[70],"we":[71,119,138],"develop":[72],"a":[73,106,140,168,183],"pipeline":[74,171],"based":[75],"convolutional":[77],"neural":[78],"networks":[79],"(CNNs)":[80],"to":[81,114,124,174],"classify":[83],"type":[86],"from":[87,172,187],"cardiac":[88],"scans.":[90],"We":[91,178],"show":[92,156],"how":[93],"multi-modal":[95],"information":[96],"in":[97,146],"spectral":[99],"recording":[101],"can":[102,161],"combined":[104],"using":[105,143],"meta":[107],"parameter":[108],"post-processing":[109],"mapping":[110],"scheme":[111],"heatmaps":[113],"encode":[115],"coordinate":[116],"locations.":[117],"Additionally,":[118],"experiment":[120],"several":[122],"architectures":[123],"examine":[125],"tradeoff":[127],"between":[128],"speed,":[130],"memory":[132],"usage":[133],"resource-constrained":[135],"environments.":[136],"Finally,":[137],"propose":[139],"confidence":[141,159],"metric":[142,160],"values":[145],"last":[148],"fully":[149,169],"connected":[150],"layer":[151],"network":[154],"that":[157,192],"our":[158],"prevent":[162],"many":[163],"misclassifications.":[164],"Our":[165],"algorithm":[166],"enables":[167],"automatic":[170],"acquisition":[173],"spectrum":[176],"measurements.":[177],"achieve":[179],"96%":[180],"accuracy":[181],"test":[184],"set":[185],"drawn":[186],"separate":[188],"clinical":[189,199],"sites,":[190],"indicating":[191],"proposed":[194],"method":[195],"suitable":[197],"adoption.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-10T00:00:00"}