{"id":"https://openalex.org/W3200373482","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533826","title":"Volumetric Modulated Arc Therapy Dose Distribution Prediction for Breast Cancer Patients: CNN Approach","display_name":"Volumetric Modulated Arc Therapy Dose Distribution Prediction for Breast Cancer Patients: CNN Approach","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200373482","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533826","mag":"3200373482"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5081794661","display_name":"Zuzanna Krawczyk","orcid":"https://orcid.org/0000-0002-3897-1078"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Zuzanna Krawczyk","raw_affiliation_strings":["Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056729658","display_name":"Robert Szmur\u0142o","orcid":"https://orcid.org/0000-0001-8041-4438"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Robert Szmurlo","raw_affiliation_strings":["Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023015726","display_name":"Pawe\u0142 Zawadzki","orcid":"https://orcid.org/0000-0002-9157-0695"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Pawel Zawadzki","raw_affiliation_strings":["Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068875682","display_name":"Estera Kot","orcid":"https://orcid.org/0000-0001-8308-7129"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Estera Kot","raw_affiliation_strings":["Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089145210","display_name":"Jacek Starzy\u0144ski","orcid":"https://orcid.org/0000-0002-1093-9500"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jacek Starzynski","raw_affiliation_strings":["Warsaw University of Technology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101470456","display_name":"Anna Zawadzka","orcid":"https://orcid.org/0000-0003-0757-0869"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna Zawadzka","raw_affiliation_strings":["National Research Institute of Oncology, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Institute of Oncology, Warsaw, Poland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.268,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60969102,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9351","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9925000071525574,"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":0.45594322681427},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4542340636253357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4440983235836029},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.4286537766456604},{"id":"https://openalex.org/keywords/arc","display_name":"Arc (geometry)","score":0.4148261547088623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39378541707992554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32807204127311707},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20633253455162048},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15754082798957825},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10554534196853638},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.07416543364524841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45594322681427},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4542340636253357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4440983235836029},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.4286537766456604},{"id":"https://openalex.org/C83415579","wikidata":"https://www.wikidata.org/wiki/Q161973","display_name":"Arc (geometry)","level":2,"score":0.4148261547088623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39378541707992554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32807204127311707},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20633253455162048},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15754082798957825},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10554534196853638},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.07416543364524841}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2059395168","https://openalex.org/W2084851290","https://openalex.org/W2091388764","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2592929672","https://openalex.org/W2804608955","https://openalex.org/W2889646458","https://openalex.org/W2890567626","https://openalex.org/W2898515460","https://openalex.org/W2898757811","https://openalex.org/W2911823761","https://openalex.org/W2963150697","https://openalex.org/W2963308874","https://openalex.org/W2972150145","https://openalex.org/W2982402070","https://openalex.org/W3094548069","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6687483927","https://openalex.org/W6931409757"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544839741","https://openalex.org/W2810064750","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2355955825","https://openalex.org/W3036572561","https://openalex.org/W2187401768","https://openalex.org/W2181413294"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"to":[3,75],"explore":[4],"popular":[5],"CNN":[6],"architectures":[7],"for":[8,15],"the":[9,44,48,72,76,90,104],"generation":[10],"of":[11,43,112],"patient-specific":[12,114],"dose":[13,115],"distributions":[14],"Volumetric":[16],"Modulated":[17],"Arc":[18],"Therapy":[19],"(VMAT)":[20],"radiotherapy":[21,127],"satisfying":[22],"clinical":[23,126],"dose-volume":[24,91],"constraints.":[25],"Only":[26],"organs":[27],"at":[28],"risk":[29],"(OARs)":[30],"and":[31,52,84,95,117],"planning":[32,128],"target":[33],"volume":[34],"(PTV)":[35],"segmentations":[36],"are":[37,62,98],"required":[38],"as":[39,71,82,87,89,121],"input.":[40],"The":[41,56,64,78,100],"outcome":[42],"research":[45],"is":[46,110],"selecting":[47],"optimal":[49],"network":[50,109],"architecture":[51],"assessing":[53],"training":[54],"parameters.":[55],"U-net,":[57],"<tex":[58,65,105],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[59,66,106],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{ResNet}+\\mathbf{U-net},\\mathbf{ResNet}+\\mathbf{PSPNet}$</tex>":[60],"networks":[61],"analyzed.":[63],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{Resnet}+\\mathbf{U-net}$</tex>":[67],"model":[68],"was":[69],"chosen":[70],"most":[73],"suited":[74],"task.":[77],"similarity":[79],"measures":[80],"such":[81],"mIoU":[83],"mDice":[85],"coefficient":[86],"well":[88],"constraints":[92],"in":[93],"PTV":[94],"selected":[96],"OARs":[97],"evaluated.":[99],"results":[101],"confirm":[102],"that":[103],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{Reset}+\\boldsymbol{U}$</tex>":[107],"-net":[108],"capable":[111],"generating":[113],"distribution":[116],"can":[118],"be":[119],"used":[120],"a":[122],"valuable":[123],"assistance":[124],"during":[125],"procedures.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}