{"id":"https://openalex.org/W4385195123","doi":"https://doi.org/10.1109/tase.2023.3295600","title":"Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation","display_name":"Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4385195123","doi":"https://doi.org/10.1109/tase.2023.3295600"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2023.3295600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tase.2023.3295600","pdf_url":"https://ieeexplore.ieee.org/ielx7/8856/4358066/10190316.pdf","source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Transactions on Automation Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/8856/4358066/10190316.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100419954","display_name":"An Wang","orcid":"https://orcid.org/0000-0001-5515-0653"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"An Wang","raw_affiliation_strings":["Department of Electronic Engineering and the Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, China","Department of Electronic Engineering and the Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-5515-0653","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and the Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Electronic Engineering and the Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066653567","display_name":"Mobarakol Islam","orcid":"https://orcid.org/0000-0002-7162-2822"},"institutions":[{"id":"https://openalex.org/I4210122016","display_name":"Wellcome / EPSRC Centre for Interventional and Surgical Sciences","ror":"https://ror.org/03r42r570","country_code":"GB","type":"facility","lineage":["https://openalex.org/I124357947","https://openalex.org/I1299528221","https://openalex.org/I4210087105","https://openalex.org/I4210122016","https://openalex.org/I45129253","https://openalex.org/I87048295"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mobarakol Islam","raw_affiliation_strings":["Department of Medical Physics and Biomedical Engineering, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-7162-2822","affiliations":[{"raw_affiliation_string":"Department of Medical Physics and Biomedical Engineering, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, U.K","institution_ids":["https://openalex.org/I4210122016","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057223988","display_name":"Mengya Xu","orcid":"https://orcid.org/0000-0002-4338-7079"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]},{"id":"https://openalex.org/I4210125878","display_name":"Suzhou Research Institute","ror":"https://ror.org/03ebk0c60","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210125878"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Mengya Xu","raw_affiliation_strings":["Department of Biomedical Engineering, National University of Singapore, Lower Kent Ridge Road, Singapore","NUSRI, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4338-7079","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, National University of Singapore, Lower Kent Ridge Road, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"NUSRI, Suzhou, China","institution_ids":["https://openalex.org/I4210125878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032340829","display_name":"Hongliang Ren","orcid":"https://orcid.org/0000-0002-6488-1551"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongliang Ren","raw_affiliation_strings":["Department of Electronic Engineering and the Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, China","Department of Electronic Engineering and the Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-6488-1551","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and the Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Electronic Engineering and the Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong (CUHK), Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100419954"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":3.9194,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.94831943,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"21","issue":"3","first_page":"4340","last_page":"4352"},"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":0.9940999746322632,"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":0.9940999746322632,"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/T10862","display_name":"AI in cancer detection","score":0.9724000096321106,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9682999849319458,"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":0.7289204001426697},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6700069904327393},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5797831416130066},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.45420002937316895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43792420625686646},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42715635895729065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3541874289512634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35329899191856384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289204001426697},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6700069904327393},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5797831416130066},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45420002937316895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43792420625686646},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42715635895729065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3541874289512634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35329899191856384},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tase.2023.3295600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tase.2023.3295600","pdf_url":"https://ieeexplore.ieee.org/ielx7/8856/4358066/10190316.pdf","source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Transactions on Automation Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/e85e48c1-4c9e-4c08-87db-811f7ee5a8ab","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/e85e48c1-4c9e-4c08-87db-811f7ee5a8ab","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, A, Islam, M, Xu, M & Ren, H 2024, 'Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation', IEEE Transactions on Automation Science and Engineering. https://doi.org/10.1109/TASE.2023.3295600","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1109/tase.2023.3295600","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tase.2023.3295600","pdf_url":"https://ieeexplore.ieee.org/ielx7/8856/4358066/10190316.pdf","source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Transactions on Automation Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4563543975","display_name":null,"funder_award_id":"BME-p1-21","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G4794274901","display_name":null,"funder_award_id":"C4063-18G","funder_id":"https://openalex.org/F4320322942","funder_display_name":"Chinese University of Hong Kong"},{"id":"https://openalex.org/G5912510792","display_name":null,"funder_award_id":"GRF 14216022","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"},{"id":"https://openalex.org/G8247790751","display_name":null,"funder_award_id":"BME-p1-21","funder_id":"https://openalex.org/F4320335138","funder_display_name":"Shun Hing Institute of Advanced Engineering"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"},{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"},{"id":"https://openalex.org/F4320335138","display_name":"Shun Hing Institute of Advanced Engineering","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385195123.pdf","grobid_xml":"https://content.openalex.org/works/W4385195123.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2010581936","https://openalex.org/W2034786340","https://openalex.org/W2122787031","https://openalex.org/W2189051548","https://openalex.org/W2296073425","https://openalex.org/W2494236530","https://openalex.org/W2739759330","https://openalex.org/W2741838462","https://openalex.org/W2746314669","https://openalex.org/W2885343725","https://openalex.org/W2946379889","https://openalex.org/W2962835731","https://openalex.org/W2963052998","https://openalex.org/W2963073217","https://openalex.org/W2963797156","https://openalex.org/W2974825848","https://openalex.org/W2979448322","https://openalex.org/W2986831462","https://openalex.org/W2992308087","https://openalex.org/W2995750307","https://openalex.org/W3015328626","https://openalex.org/W3034214887","https://openalex.org/W3034272105","https://openalex.org/W3035294798","https://openalex.org/W3037260676","https://openalex.org/W3043838341","https://openalex.org/W3044971416","https://openalex.org/W3048402654","https://openalex.org/W3090886921","https://openalex.org/W3092646344","https://openalex.org/W3094111018","https://openalex.org/W3098489756","https://openalex.org/W3099907503","https://openalex.org/W3101281919","https://openalex.org/W3109512970","https://openalex.org/W3136850285","https://openalex.org/W3138516171","https://openalex.org/W3164092155","https://openalex.org/W3169044395","https://openalex.org/W3173094203","https://openalex.org/W3175248300","https://openalex.org/W3183864931","https://openalex.org/W3202563726","https://openalex.org/W3203479069","https://openalex.org/W3207576362","https://openalex.org/W4223465214","https://openalex.org/W4225425603","https://openalex.org/W4235681568","https://openalex.org/W4238019710","https://openalex.org/W4250640407","https://openalex.org/W4283459293","https://openalex.org/W4283825119","https://openalex.org/W4289639938","https://openalex.org/W4295159943","https://openalex.org/W4295934937","https://openalex.org/W4308113119","https://openalex.org/W4311463583","https://openalex.org/W4313172482","https://openalex.org/W4319300373","https://openalex.org/W4321232185","https://openalex.org/W4321353441","https://openalex.org/W4322753738","https://openalex.org/W4322757234","https://openalex.org/W4378696921","https://openalex.org/W6687197975","https://openalex.org/W6743428213","https://openalex.org/W6745136726","https://openalex.org/W6755672337","https://openalex.org/W6756444276","https://openalex.org/W6757555829","https://openalex.org/W6758857762","https://openalex.org/W6766648584","https://openalex.org/W6769912674","https://openalex.org/W6780178746","https://openalex.org/W6784352518","https://openalex.org/W6786637698","https://openalex.org/W6797042228"],"related_works":["https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W2159066190","https://openalex.org/W2117933325","https://openalex.org/W2110230079","https://openalex.org/W2117664411","https://openalex.org/W1507266234","https://openalex.org/W1967061043","https://openalex.org/W2549936415","https://openalex.org/W2965422042"],"abstract_inverted_index":{"Accurate":[0],"and":[1,8,17,28,173,187,193,203,218,260,311,344,350,402,437],"robust":[2,67,172,213],"medical":[3,68,270,309,323,400],"image":[4,69,252,324,362,383],"segmentation":[5,183,253,274,330,386],"is":[6,77,163,228,242,254,289,359],"fundamental":[7],"crucial":[9],"for":[10,66,165,322,382],"enhancing":[11],"the":[12,44,49,59,80,93,97,99,102,106,117,121,125,129,135,146,154,159,166,232,295,316,336,377,388,413,425,431],"autonomy":[13],"of":[14,83,89,185,297,339,361,379,415],"computer-aided":[15],"diagnosis":[16,259],"intervention":[18,261],"systems.":[19],"Medical":[20],"data":[21,90,155,298],"collection":[22],"normally":[23],"involves":[24],"different":[25,87,269],"scanners,":[26],"protocols,":[27],"populations,":[29],"making":[30],"domain":[31,119,123,266,421,441],"adaptation":[32,202,343,442],"(DA)":[33],"a":[34,84,283],"highly":[35,291],"demanding":[36,303],"research":[37],"field":[38],"to":[39,104,120,132,151,169,176,210,249,256,265,293,307],"alleviate":[40],"model":[41,50,85,168,287],"degradation":[42,279],"in":[43,92,124,139,231,282,387,398,424,430],"deployment":[45,94],"site.":[46],"To":[47],"preserve":[48],"performance":[51,278],"across":[52],"multiple":[53,191,347],"testing":[54,348,426],"domains,":[55],"this":[56,435],"work":[57,436],"proposes":[58],"Curriculum-based":[60,317],"Augmented":[61],"Fourier":[62,318,420],"Domain":[63,319],"Adaptation":[64,320],"(Curri-AFDA)":[65,321],"segmentation.":[70,325],"In":[71,222,373],"particular,":[72],"our":[73,197,207,226,340,357,380,392],"curriculum":[74,416],"learning":[75,417],"strategy":[76],"based":[78],"on":[79,181,328,346,370],"causal":[81],"relationship":[82],"under":[86,214],"levels":[88],"shift":[91,100],"phase,":[95],"where":[96],"higher":[98],"is,":[101],"harder":[103],"recognize":[105],"variance.":[107],"Considering":[108,300],"this,":[109],"we":[110,144,224,314,375],"progressively":[111],"introduce":[112],"more":[113,171,212],"amplitude":[114,422],"information":[115],"from":[116,190],"target":[118],"source":[122],"frequency":[126],"space":[127],"during":[128],"curriculum-style":[130],"training":[131,432],"smoothly":[133],"schedule":[134],"semantic":[136],"knowledge":[137],"transfer":[138],"an":[140],"easier-to-harder":[141],"manner.":[142],"Besides,":[143,356],"incorporate":[145],"training-time":[147],"chained":[148],"augmentation":[149],"mixing":[150],"help":[152],"expand":[153],"distributions":[156],"while":[157],"preserving":[158],"domain-invariant":[160],"semantics,":[161],"which":[162],"beneficial":[164,230],"acquired":[167],"be":[170,211,396,409],"generalize":[174],"better":[175],"unseen":[177],"domains.":[178],"Extensive":[179,326],"experiments":[180,327],"two":[182,329],"tasks":[184,331],"Retina":[186],"Nuclei":[188],"collected":[189],"sites":[192],"scanners":[194],"suggest":[195],"that":[196],"proposed":[198],"method":[199,227,341,381,393],"yields":[200],"superior":[201],"generalization":[204,345],"performance.":[205,405],"Meanwhile,":[206],"approach":[208,358],"proves":[209],"various":[215],"corruption":[216],"types":[217],"increasing":[219],"severity":[220],"levels.":[221],"addition,":[223,374],"show":[225,335],"also":[229,290],"domain-adaptive":[233],"classification":[234,384],"task":[235],"with":[236,332,419],"skin":[237],"lesion":[238],"datasets.":[239],"The":[240],"code":[241],"available":[243],"at":[244],"https://github.com/lofrienger/Curri-AFDA.":[245],"<italic":[246],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[247],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[248],"Practitioners</i>":[250],"\u2014Medical":[251],"key":[255],"improving":[257],"computer-assisted":[258],"autonomy.":[262],"However,":[263],"due":[264],"gaps":[267],"between":[268],"sites,":[271],"deep":[272],"learning-based":[273],"models":[275],"frequently":[276],"encounter":[277],"when":[280],"deployed":[281],"novel":[284],"domain.":[285],"Moreover,":[286],"robustness":[288,351],"expected":[292],"mitigate":[294],"effects":[296],"corruption.":[299],"all":[301],"these":[302],"yet":[304],"practical":[305],"needs":[306],"automate":[308],"applications":[310,401],"benefit":[312,378],"healthcare,":[313],"propose":[315],"cross-domain":[333],"datasets":[334],"consistent":[337],"superiority":[338],"regarding":[342],"domains":[349],"against":[352],"synthetic":[353],"corrupted":[354],"data.":[355],"independent":[360],"modalities":[363],"because":[364],"its":[365],"efficacy":[366],"does":[367],"not":[368],"rely":[369],"modality-specific":[371],"characteristics.":[372],"demonstrate":[376],"besides":[385],"ablation":[389],"study.":[390],"Therefore,":[391],"can":[394],"potentially":[395],"applied":[397],"many":[399],"yield":[403],"improved":[404],"Future":[406],"works":[407],"may":[408],"extended":[410],"by":[411],"exploring":[412],"integration":[414],"regime":[418],"fusion":[423],"time":[427,433],"rather":[428],"than":[429],"like":[434],"most":[438],"other":[439],"existing":[440],"works.":[443]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
