{"id":"https://openalex.org/W4401797398","doi":"https://doi.org/10.1109/isbi56570.2024.10635646","title":"Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity","display_name":"Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401797398","doi":"https://doi.org/10.1109/isbi56570.2024.10635646"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069388918","display_name":"Tushar Kataria","orcid":"https://orcid.org/0000-0002-9469-5266"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tushar Kataria","raw_affiliation_strings":["University of Utah,Scientific Computing and Imaging Institute & Kahlert School of Computing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah,Scientific Computing and Imaging Institute & Kahlert School of Computing","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060130342","display_name":"Beatrice S. Knudsen","orcid":"https://orcid.org/0000-0002-7589-7591"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beatrice S. Knudsen","raw_affiliation_strings":["University of Utah,Department of Pathology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah,Department of Pathology","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000258401","display_name":"Shireen Elhabian","orcid":"https://orcid.org/0000-0002-7394-557X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shireen Y. Elhabian","raw_affiliation_strings":["University of Utah,Scientific Computing and Imaging Institute & Kahlert School of Computing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah,Scientific Computing and Imaging Institute & Kahlert School of Computing","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9952999949455261,"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/domain-adaptation","display_name":"Domain adaptation","score":0.8345325589179993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7948116064071655},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.7196604013442993},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6174973249435425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5263182520866394},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5184819102287292},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.4993245601654053},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06525450944900513},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0533466637134552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0531788170337677}],"concepts":[{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.8345325589179993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7948116064071655},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7196604013442993},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6174973249435425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5263182520866394},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5184819102287292},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.4993245601654053},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06525450944900513},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0533466637134552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0531788170337677},{"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/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635646","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","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":31,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2157740221","https://openalex.org/W2169522260","https://openalex.org/W2288892845","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2805735218","https://openalex.org/W2899726877","https://openalex.org/W2905510943","https://openalex.org/W2947707615","https://openalex.org/W2963073217","https://openalex.org/W2963107255","https://openalex.org/W2970140852","https://openalex.org/W3004531689","https://openalex.org/W3009914867","https://openalex.org/W3026575546","https://openalex.org/W3034590424","https://openalex.org/W3035294798","https://openalex.org/W3039817009","https://openalex.org/W3042445013","https://openalex.org/W3096515130","https://openalex.org/W3099805905","https://openalex.org/W4220950432","https://openalex.org/W4240805545","https://openalex.org/W4292198371","https://openalex.org/W4386784567","https://openalex.org/W4387422588","https://openalex.org/W6683633756","https://openalex.org/W6763468762","https://openalex.org/W6780851395","https://openalex.org/W6784352518"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W3203792196","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"approaches":[2],"for":[3,53,104,111],"semantic":[4,19,105],"segmentation":[5,106],"rely":[6],"on":[7,148],"harnessing":[8],"the":[9,37,43,54,109,129,134,137,142,159],"power":[10],"of":[11,18,115,144,161],"annotated":[12],"images":[13],"to":[14,25,57,80,89,133],"learn":[15],"features":[16],"indicative":[17],"classes.":[20],"However,":[21],"they":[22],"often":[23],"fail":[24],"generalize":[26],"when":[27,46,158],"there":[28],"is":[29,63,166],"a":[30,112],"significant":[31,74],"domain":[32,101],"(i.e.,":[33,39,48],"distributional)":[34],"shift":[35,62],"between":[36],"training":[38],"source)":[40],"data":[41,56,117,131],"and":[42,76,82,92,119,154],"dataset(s)":[44],"encountered":[45],"deployed":[47],"target),":[49],"necessitating":[50],"manual":[51],"annotations":[52],"target":[55,93,116,130,163],"achieve":[58],"acceptable":[59],"performance.":[60],"Domain":[61],"especially":[64],"important":[65],"in":[66,136],"medical":[67],"imaging":[68],"because":[69],"different":[70],"image":[71],"modalities":[72],"have":[73],"intra-":[75],"intersite":[77],"variations":[78],"due":[79],"protocol":[81],"vendor":[83],"variability.":[84],"Current":[85],"techniques":[86],"are":[87],"sensitive":[88],"hyperparameter":[90],"tuning":[91],"dataset":[94],"size.":[95],"This":[96],"paper":[97],"introduces":[98],"an":[99],"unsupervised":[100],"adaptation":[102],"method":[103],"that":[107],"eliminates":[108],"requirement":[110],"substantial":[113],"quantity":[114],"samples":[118,164],"their":[120],"associated":[121],"annotations.":[122],"Using":[123],"kernel":[124],"density":[125],"estimation,":[126],"we":[127],"match":[128],"distribution":[132],"source":[135],"feature":[138],"space.":[139],"We":[140],"demonstrate":[141],"efficacy":[143],"our":[145],"proposed":[146],"approach":[147],"two":[149],"datasets,":[150],"multisite":[151],"prostate":[152],"MRI":[153],"histopathology":[155],"images,":[156],"particularly":[157],"number":[160],"unannotated":[162],"available":[165],"limited.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}