{"id":"https://openalex.org/W3088457004","doi":"https://doi.org/10.1109/jstsp.2020.3021275","title":"Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging","display_name":"Editorial: Introduction to the Issue on Domain Enriched Learning for Medical Imaging","publication_year":2020,"publication_date":"2020-09-24","ids":{"openalex":"https://openalex.org/W3088457004","doi":"https://doi.org/10.1109/jstsp.2020.3021275","mag":"3088457004"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2020.3021275","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.3021275","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9205183/09205331.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"editorial","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/4200690/9205183/09205331.pdf","any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"6","first_page":"1068","last_page":"1071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9172000288963318,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9172000288963318,"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":0.5830575227737427},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5743098855018616},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42141789197921753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3868550658226013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12320861220359802}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830575227737427},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5743098855018616},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42141789197921753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3868550658226013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12320861220359802},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2020.3021275","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.3021275","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9205183/09205331.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/jstsp.2020.3021275","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.3021275","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9205183/09205331.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Selected Topics in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3088457004.pdf","grobid_xml":"https://content.openalex.org/works/W3088457004.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"The":[0],"nineteen":[1],"papers":[2],"in":[3,141,157],"this":[4,161],"special":[5,184],"section":[6],"focus":[7],"on":[8,99],"domain":[9,146,198],"enriched":[10],"learning":[11,18,85,143,202],"for":[12,31,168,204],"medical":[13,35,208],"imaging.":[14],"In":[15,48],"recent":[16,137],"years,":[17],"based":[19,29,122],"methods":[20,30,203],"have":[21,57,63],"emerged":[22,140],"to":[23,133],"complement":[24],"traditional":[25],"model":[26],"and":[27,43,62,94,102,148,172,194],"feature":[28],"a":[32,65,152],"variety":[33],"of":[34,51,68,104,128,154,197],"imaging":[36,209],"problems":[37],"such":[38,79],"as":[39],"image":[40,106,158,166,169,192],"formation,":[41],"classification":[42],"segmentation,":[44,170],"quality":[45,103],"enhancement":[46],"etc.":[47,182],"the":[49,69,72,100,115,126],"case":[50],"deep":[52,88],"neural":[53,120],"networks,":[54],"many":[55,84,206],"solutions":[56],"achieved":[58],"unprecedented":[59],"performance":[60,96,116],"gains":[61],"defined":[64],"new":[66],"state":[67],"art.":[70],"Despite":[71],"progress,":[73],"compelling":[74],"open":[75],"challenges":[76],"remain.":[77],"One":[78],"key":[80],"challenge":[81,127],"is":[82,111],"that":[83,189],"frameworks":[86,144],"(notably":[87],"learning)":[89],"are":[90],"purely":[91],"data-driven":[92],"approaches":[93,123],"their":[95],"depends":[97],"strongly":[98],"quantity":[101],"training":[105,110],"data":[107],"available.":[108],"When":[109],"limited":[112],"or":[113],"noisy,":[114],"drops":[117],"sharply.":[118],"Deep":[119],"networks":[121],"additionally":[124],"face":[125],"often":[129],"not":[130],"being":[131],"straightforward":[132],"interpret.":[134],"Fortunately,":[135],"exciting":[136],"progress":[138],"has":[139],"enriching":[142],"with":[145,200],"knowledge":[147,174,199],"signal":[149],"structure.":[150],"As":[151],"couple":[153],"representative":[155],"examples:":[156],"reconstruction":[159],"problems,":[160],"may":[162,179],"involve":[163],"using":[164],"statistical/structural":[165],"priors;":[167],"shape":[171],"anatomical":[173],"(conveyed":[175],"by":[176],"an":[177],"expert)":[178],"be":[180],"leveraged,":[181],"This":[183],"issue":[185],"brings":[186],"together":[187],"contributions":[188],"combine":[190],"signal,":[191],"priors":[193],"other":[195],"flavors":[196],"machine":[201],"solving":[205],"diverse":[207],"problems.":[210]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
