{"id":"https://openalex.org/W2979415872","doi":"https://doi.org/10.1109/embc.2019.8856819","title":"Deep Learning Based Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning","display_name":"Deep Learning Based Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979415872","doi":"https://doi.org/10.1109/embc.2019.8856819","mag":"2979415872","pmid":"https://pubmed.ncbi.nlm.nih.gov/31946032"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2019.8856819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025751463","display_name":"Dashan Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dashan Jiang","raw_affiliation_strings":["Electrical Engineering and Automation, Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Automation, Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416752","display_name":"Teng Li","orcid":"https://orcid.org/0000-0003-1150-088X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Teng Li","raw_affiliation_strings":["Electrical Engineering and Automation, Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Automation, Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100955780","display_name":"Ronghu Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]},{"id":"https://openalex.org/I4210143608","display_name":"Henan Cancer Hospital","ror":"https://ror.org/043ek5g31","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143608"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghu Mao","raw_affiliation_strings":["Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Henan, China","institution_ids":["https://openalex.org/I38877650","https://openalex.org/I4210143608"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100932960","display_name":"Chi Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]},{"id":"https://openalex.org/I4210145099","display_name":"Xian Yang Central Hospital","ror":"https://ror.org/042g3qa69","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210145099"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Du","raw_affiliation_strings":["Cancer Center, The Second Peoples Hospital of Neijiang, Neijiang, Sichuan, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cancer Center, The Second Peoples Hospital of Neijiang, Neijiang, Sichuan, P.R. China","institution_ids":["https://openalex.org/I4210117337","https://openalex.org/I4210145099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101543443","display_name":"Jianfei Liu","orcid":"https://orcid.org/0000-0001-9885-1695"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfei Liu","raw_affiliation_strings":["Electrical Engineering and Automation, Anhui University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Automation, Anhui University","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8433,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84041995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"868","last_page":"871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11176","display_name":"Radiation Therapy and Dosimetry","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10597","display_name":"Nuclear reactor physics and engineering","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/histogram","display_name":"Histogram","score":0.6385080218315125},{"id":"https://openalex.org/keywords/radiation-treatment-planning","display_name":"Radiation treatment planning","score":0.6331103444099426},{"id":"https://openalex.org/keywords/dose-volume-histogram","display_name":"Dose-volume histogram","score":0.609757661819458},{"id":"https://openalex.org/keywords/dosimetry","display_name":"Dosimetry","score":0.5950791835784912},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5234707593917847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4332835078239441},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.42437100410461426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40292292833328247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.368175208568573},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35182589292526245},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.26967912912368774},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2203439176082611},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13733527064323425},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0912962257862091}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6385080218315125},{"id":"https://openalex.org/C201645570","wikidata":"https://www.wikidata.org/wiki/Q830637","display_name":"Radiation treatment planning","level":3,"score":0.6331103444099426},{"id":"https://openalex.org/C2780198649","wikidata":"https://www.wikidata.org/wiki/Q5299249","display_name":"Dose-volume histogram","level":4,"score":0.609757661819458},{"id":"https://openalex.org/C75088862","wikidata":"https://www.wikidata.org/wiki/Q2291081","display_name":"Dosimetry","level":2,"score":0.5950791835784912},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5234707593917847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4332835078239441},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.42437100410461426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40292292833328247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.368175208568573},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35182589292526245},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.26967912912368774},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2203439176082611},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13733527064323425},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0912962257862091}],"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":"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":"D011874","descriptor_name":"Radiometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011874","descriptor_name":"Radiometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011874","descriptor_name":"Radiometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011879","descriptor_name":"Radiotherapy Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011879","descriptor_name":"Radiotherapy Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011879","descriptor_name":"Radiotherapy Dosage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011880","descriptor_name":"Radiotherapy Planning, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011880","descriptor_name":"Radiotherapy Planning, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011880","descriptor_name":"Radiotherapy Planning, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D050397","descriptor_name":"Radiotherapy, Intensity-Modulated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D050397","descriptor_name":"Radiotherapy, Intensity-Modulated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D050397","descriptor_name":"Radiotherapy, Intensity-Modulated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058958","descriptor_name":"Organs at Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058958","descriptor_name":"Organs at Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058958","descriptor_name":"Organs at Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2019.8856819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:31946032","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31946032","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7200000286102295,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1014379658","https://openalex.org/W1507849272","https://openalex.org/W1963932209","https://openalex.org/W1987419782","https://openalex.org/W2053162035","https://openalex.org/W2069905590","https://openalex.org/W2100495367","https://openalex.org/W2108665656","https://openalex.org/W2171180669","https://openalex.org/W2919115771","https://openalex.org/W4255825300"],"related_works":["https://openalex.org/W2028407790","https://openalex.org/W1965550810","https://openalex.org/W2193288579","https://openalex.org/W2066925027","https://openalex.org/W2049585172","https://openalex.org/W2031306493","https://openalex.org/W2390319468","https://openalex.org/W2019607867","https://openalex.org/W1499476490","https://openalex.org/W2030403482"],"abstract_inverted_index":{"Rapid":[0],"esophageal":[1],"radiation":[2],"treatment":[3],"planning":[4,28,166],"is":[5,16,38,72],"often":[6],"obstructed":[7],"by":[8,19,92],"manually":[9],"adjusting":[10],"optimization":[11],"parameters.":[12],"The":[13,94],"adjustment":[14],"process":[15],"commonly":[17],"guided":[18],"the":[20,42,76,107,122,132,137,155,165],"dose-volume":[21],"histogram":[22,70],"(DVH),":[23],"which":[24,49],"evaluates":[25],"dosimetry":[26],"at":[27,34],"target":[29,69],"volume":[30],"(PTV)":[31],"and":[32,47,61,81,84,111,139],"organs":[33],"risk":[35],"(OARs).":[36],"DVH":[37,85,120,157],"highly":[39],"correlated":[40],"with":[41],"geometrical":[43,77],"relationship":[44,78],"between":[45,79,109],"PTV":[46,80],"OARs,":[48],"motivates":[50],"us":[51],"to":[52,57,68,74,105,118,162],"explore":[53],"deep":[54,102],"learning":[55],"techniques":[56],"model":[58,106],"such":[59],"correlation":[60,108,114],"predict":[62,119],"DVHs":[63,141],"of":[64,121,136],"different":[65,144],"OARs.":[66,82],"Distance":[67],"(DTH)":[71],"chosen":[73],"measure":[75],"DTH":[83,110],"features":[86],"are":[87,98],"then":[88],"undergone":[89],"dimension":[90],"reduction":[91],"autoencoder.":[93],"reduced":[95],"feature":[96],"vectors":[97],"finally":[99],"imported":[100],"into":[101],"belief":[103],"network":[104],"DVH.":[112],"This":[113],"can":[115],"be":[116],"used":[117],"corresponding":[123],"OAR":[124],"for":[125],"new":[126],"patients.":[127],"Validation":[128],"results":[129,152],"revealed":[130],"that":[131,154],"relative":[133],"dose":[134],"difference":[135],"predicted":[138,156],"clinical":[140],"on":[142],"four":[143],"OARs":[145],"were":[146],"less":[147],"than":[148],"3%.":[149],"These":[150],"promising":[151],"suggested":[153],"could":[158],"provide":[159],"near-optimal":[160],"parameters":[161],"significantly":[163],"reduce":[164],"time.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
