{"id":"https://openalex.org/W3134792000","doi":"https://doi.org/10.1109/dicta51227.2020.9363397","title":"UNET-Based Multi-Task Architecture for Brain Lesion Segmentation","display_name":"UNET-Based Multi-Task Architecture for Brain Lesion Segmentation","publication_year":2020,"publication_date":"2020-11-29","ids":{"openalex":"https://openalex.org/W3134792000","doi":"https://doi.org/10.1109/dicta51227.2020.9363397","mag":"3134792000"},"language":"en","primary_location":{"id":"doi:10.1109/dicta51227.2020.9363397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","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/A5076302997","display_name":"Ava Assadi Abolvardi","orcid":null},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ava Assadi Abolvardi","raw_affiliation_strings":["dept. Computing, Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"dept. Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039882547","display_name":"Len Hamey","orcid":"https://orcid.org/0000-0001-8594-2176"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Len Hamey","raw_affiliation_strings":["dept. Computing, Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"dept. Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052414369","display_name":"Kevin Ho\u2010Shon","orcid":"https://orcid.org/0000-0003-2804-6281"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kevin Ho-Shon","raw_affiliation_strings":["dept. Clinical Medicine, Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"dept. Clinical Medicine, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2937,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59420817,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.837689220905304},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7596375942230225},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6942334175109863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6447789669036865},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.599648118019104},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5807665586471558},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5787167549133301},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.5377654433250427},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5335963368415833},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5138238072395325},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4879552721977234},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4436842203140259},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.4335397183895111},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4314520061016083},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38344335556030273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3537946343421936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.837689220905304},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7596375942230225},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6942334175109863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6447789669036865},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.599648118019104},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5807665586471558},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5787167549133301},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.5377654433250427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5335963368415833},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5138238072395325},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4879552721977234},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4436842203140259},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.4335397183895111},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4314520061016083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38344335556030273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3537946343421936},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta51227.2020.9363397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta51227.2020.9363397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W582055897","https://openalex.org/W1522301498","https://openalex.org/W1896424170","https://openalex.org/W1901129140","https://openalex.org/W1942576506","https://openalex.org/W2102099319","https://openalex.org/W2102213632","https://openalex.org/W2108270603","https://openalex.org/W2468387181","https://openalex.org/W2525606708","https://openalex.org/W2549401308","https://openalex.org/W2575552683","https://openalex.org/W2608018997","https://openalex.org/W2621477274","https://openalex.org/W2624871570","https://openalex.org/W2734349601","https://openalex.org/W2742079690","https://openalex.org/W2784231336","https://openalex.org/W2788689866","https://openalex.org/W2793022090","https://openalex.org/W2805191397","https://openalex.org/W2811322499","https://openalex.org/W2900954917","https://openalex.org/W2913340405","https://openalex.org/W2962914239","https://openalex.org/W2963043051","https://openalex.org/W2963877604","https://openalex.org/W2964121744","https://openalex.org/W2964250774","https://openalex.org/W2964350391","https://openalex.org/W2966182616","https://openalex.org/W2979829558","https://openalex.org/W3104087655","https://openalex.org/W3105282616","https://openalex.org/W4298168912","https://openalex.org/W6616954417","https://openalex.org/W6639824700","https://openalex.org/W6676063626","https://openalex.org/W6694260854","https://openalex.org/W6703533685","https://openalex.org/W6727704182","https://openalex.org/W6748637385","https://openalex.org/W6785499332"],"related_works":["https://openalex.org/W2948333011","https://openalex.org/W4386619269","https://openalex.org/W1942758450","https://openalex.org/W2994972936","https://openalex.org/W2922338626","https://openalex.org/W4303645333","https://openalex.org/W4312745891","https://openalex.org/W3088045114","https://openalex.org/W2108010283","https://openalex.org/W4221067497"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,40],"is":[2,14,34,62,73,104,118],"the":[3,7,17,24,35,57,68,78,115,135,139,143],"task":[4,124],"of":[5,9,16,20,52],"extracting":[6],"region":[8],"interest":[10],"in":[11,23,67],"images":[12],"and":[13,47,125],"one":[15],"main":[18,36],"applications":[19],"computer":[21,29],"vision":[22,30],"medical":[25,69],"domain.":[26,70],"Like":[27],"other":[28,58],"tasks,":[31],"deep":[32,79],"learning":[33,43,72],"solution":[37],"to":[38,81,101,106,114,121],"image":[39],"problems.":[41],"Deep":[42],"methods":[44],"are":[45],"data-hungry":[46],"need":[48],"a":[49,64,74,98,127],"huge":[50],"amount":[51],"data":[53,60,86],"for":[54],"training.":[55],"On":[56],"side,":[59],"shortage":[61],"always":[63],"problem,":[65],"especially":[66],"Multi-task":[71],"technique":[75],"which":[76],"helps":[77],"model":[80],"learn":[82],"better":[83,105,120],"representation":[84],"from":[85],"distribution":[87],"by":[88],"introducing":[89],"related":[90],"auxiliary":[91,109,153],"tasks.":[92],"In":[93],"this":[94,108,123,148],"study,":[95],"we":[96],"investigate":[97],"research":[99],"question":[100],"whether":[102],"it":[103,119],"provide":[107],"information":[110,150],"as":[111,152],"an":[112],"input":[113,154],"network,":[116],"or":[117],"use":[122],"design":[126],"multi-output":[128,136],"network.":[129],"Our":[130],"findings":[131],"suggest":[132],"that":[133],"however,":[134],"manner":[137],"improves":[138],"overall":[140],"performance,":[141],"but":[142],"best":[144],"result":[145],"achieves":[146],"when":[147],"extra":[149],"serves":[151],"information.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
