{"id":"https://openalex.org/W3111140902","doi":"https://doi.org/10.1109/tmi.2020.3042789","title":"Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images","display_name":"Bidirectional Mapping-Based Domain Adaptation for Nucleus Detection in Cross-Modality Microscopy Images","publication_year":2020,"publication_date":"2020-12-08","ids":{"openalex":"https://openalex.org/W3111140902","doi":"https://doi.org/10.1109/tmi.2020.3042789","mag":"3111140902","pmid":"https://pubmed.ncbi.nlm.nih.gov/33284750"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2020.3042789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3042789","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8543886","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076917512","display_name":"Fuyong Xing","orcid":"https://orcid.org/0000-0003-0982-8675"},"institutions":[{"id":"https://openalex.org/I51713134","display_name":"University of Colorado Anschutz Medical Campus","ror":"https://ror.org/03wmf1y16","country_code":"US","type":"education","lineage":["https://openalex.org/I51713134"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fuyong Xing","raw_affiliation_strings":["Department of Biostatistics and Informatics and the Data Science to Patient Value Initiative, University of Colorado Anschutz Medical Campus, Aurora, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Informatics and the Data Science to Patient Value Initiative, University of Colorado Anschutz Medical Campus, Aurora, CO, USA","institution_ids":["https://openalex.org/I51713134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089131066","display_name":"Toby C. Cornish","orcid":"https://orcid.org/0000-0002-1902-2109"},"institutions":[{"id":"https://openalex.org/I51713134","display_name":"University of Colorado Anschutz Medical Campus","ror":"https://ror.org/03wmf1y16","country_code":"US","type":"education","lineage":["https://openalex.org/I51713134"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Toby C. Cornish","raw_affiliation_strings":["Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA","institution_ids":["https://openalex.org/I51713134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075439357","display_name":"Tellen D. Bennett","orcid":"https://orcid.org/0000-0003-1483-4236"},"institutions":[{"id":"https://openalex.org/I51713134","display_name":"University of Colorado Anschutz Medical Campus","ror":"https://ror.org/03wmf1y16","country_code":"US","type":"education","lineage":["https://openalex.org/I51713134"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tellen D. Bennett","raw_affiliation_strings":["Department of Pediatrics and the Data Science to Patient Value Initiative, University of Colorado Anschutz Medical Campus, Aurora, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Pediatrics and the Data Science to Patient Value Initiative, University of Colorado Anschutz Medical Campus, Aurora, CO, USA","institution_ids":["https://openalex.org/I51713134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625252","display_name":"Debashis Ghosh","orcid":"https://orcid.org/0000-0001-6618-1316"},"institutions":[{"id":"https://openalex.org/I51713134","display_name":"University of Colorado Anschutz Medical Campus","ror":"https://ror.org/03wmf1y16","country_code":"US","type":"education","lineage":["https://openalex.org/I51713134"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debashis Ghosh","raw_affiliation_strings":["Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA","institution_ids":["https://openalex.org/I51713134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076917512"],"corresponding_institution_ids":["https://openalex.org/I51713134"],"apc_list":null,"apc_paid":null,"fwci":1.6464,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87616616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"40","issue":"10","first_page":"2880","last_page":"2896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9976000189781189,"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/T10862","display_name":"AI in cancer detection","score":0.9976000189781189,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8107239007949829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8008981347084045},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7643494009971619},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7256478071212769},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6059679985046387},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5720138549804688},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4487978219985962},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.42599812150001526},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4206860661506653},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41156184673309326},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36805206537246704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3516247272491455}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8107239007949829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8008981347084045},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7643494009971619},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7256478071212769},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6059679985046387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5720138549804688},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4487978219985962},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.42599812150001526},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4206860661506653},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41156184673309326},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36805206537246704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3516247272491455},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2020.3042789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3042789","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:33284750","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33284750","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8543886","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8543886","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:8543886","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8543886","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5094034771","display_name":null,"funder_award_id":"R21CA237493","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":137,"referenced_works":["https://openalex.org/W22040386","https://openalex.org/W1731081199","https://openalex.org/W1869602175","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2034980306","https://openalex.org/W2099471712","https://openalex.org/W2103243046","https://openalex.org/W2105739910","https://openalex.org/W2112796928","https://openalex.org/W2116496396","https://openalex.org/W2143273012","https://openalex.org/W2145709622","https://openalex.org/W2159291411","https://openalex.org/W2194775991","https://openalex.org/W2222512263","https://openalex.org/W2280351290","https://openalex.org/W2293083603","https://openalex.org/W2304648132","https://openalex.org/W2312404985","https://openalex.org/W2344654247","https://openalex.org/W2345010043","https://openalex.org/W2395611524","https://openalex.org/W2470965540","https://openalex.org/W2526843974","https://openalex.org/W2529057671","https://openalex.org/W2533800772","https://openalex.org/W2557626841","https://openalex.org/W2559756885","https://openalex.org/W2562469482","https://openalex.org/W2584009249","https://openalex.org/W2592905743","https://openalex.org/W2592929672","https://openalex.org/W2593345132","https://openalex.org/W2593768305","https://openalex.org/W2604922637","https://openalex.org/W2617027347","https://openalex.org/W2738582428","https://openalex.org/W2738820721","https://openalex.org/W2750925197","https://openalex.org/W2756073160","https://openalex.org/W2759965110","https://openalex.org/W2768673271","https://openalex.org/W2770363598","https://openalex.org/W2771464104","https://openalex.org/W2772926238","https://openalex.org/W2786808285","https://openalex.org/W2789713147","https://openalex.org/W2798964604","https://openalex.org/W2803684675","https://openalex.org/W2805899143","https://openalex.org/W2807102196","https://openalex.org/W2890139949","https://openalex.org/W2891179298","https://openalex.org/W2891669248","https://openalex.org/W2896018297","https://openalex.org/W2896359486","https://openalex.org/W2904322775","https://openalex.org/W2905410527","https://openalex.org/W2914823990","https://openalex.org/W2915496375","https://openalex.org/W2916332638","https://openalex.org/W2918032088","https://openalex.org/W2920164639","https://openalex.org/W2939898723","https://openalex.org/W2945334889","https://openalex.org/W2949477454","https://openalex.org/W2955737766","https://openalex.org/W2959170286","https://openalex.org/W2959183777","https://openalex.org/W2962716568","https://openalex.org/W2962793481","https://openalex.org/W2962793691","https://openalex.org/W2962804068","https://openalex.org/W2962808524","https://openalex.org/W2962823940","https://openalex.org/W2962825119","https://openalex.org/W2962837118","https://openalex.org/W2962878449","https://openalex.org/W2963073614","https://openalex.org/W2963182609","https://openalex.org/W2963194837","https://openalex.org/W2963709863","https://openalex.org/W2963768110","https://openalex.org/W2963803174","https://openalex.org/W2964090697","https://openalex.org/W2964152645","https://openalex.org/W2964317695","https://openalex.org/W2967164333","https://openalex.org/W2970369250","https://openalex.org/W2971013993","https://openalex.org/W2972737141","https://openalex.org/W2974825848","https://openalex.org/W2978017498","https://openalex.org/W2979640220","https://openalex.org/W2979847946","https://openalex.org/W2979992433","https://openalex.org/W2980004241","https://openalex.org/W2980170728","https://openalex.org/W2999400187","https://openalex.org/W3001484656","https://openalex.org/W3004967844","https://openalex.org/W3006040295","https://openalex.org/W3013627541","https://openalex.org/W3014795415","https://openalex.org/W3022553019","https://openalex.org/W3031652546","https://openalex.org/W3039883906","https://openalex.org/W3046093204","https://openalex.org/W3083684561","https://openalex.org/W3092051613","https://openalex.org/W3093309013","https://openalex.org/W3097812605","https://openalex.org/W3099097979","https://openalex.org/W3102255912","https://openalex.org/W3103943044","https://openalex.org/W4289129484","https://openalex.org/W4320013936","https://openalex.org/W6637618735","https://openalex.org/W6638924413","https://openalex.org/W6639824700","https://openalex.org/W6683633756","https://openalex.org/W6697974390","https://openalex.org/W6734147758","https://openalex.org/W6743689066","https://openalex.org/W6746282794","https://openalex.org/W6751567958","https://openalex.org/W6754411460","https://openalex.org/W6755604195","https://openalex.org/W6757486280","https://openalex.org/W6761334744","https://openalex.org/W6766773940","https://openalex.org/W6768003284","https://openalex.org/W6768440147","https://openalex.org/W6772566325","https://openalex.org/W6775769912","https://openalex.org/W6784859039"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Cell":[0],"or":[1,44,159],"nucleus":[2,91,108,136,167],"detection":[3,92,109,137,168],"is":[4,41,58,179],"a":[5,52,84,102,128,152,163],"fundamental":[6],"task":[7],"in":[8,46,64,166],"microscopy":[9,95,147,156],"image":[10,38,76,96,115,148],"analysis":[11],"and":[12,74,113,132,161],"has":[13],"recently":[14],"achieved":[15],"state-of-the-art":[16],"performance":[17],"by":[18],"using":[19],"deep":[20,26,103],"neural":[21,31],"networks.":[22],"However,":[23],"training":[24,193],"supervised":[25,185],"models":[27,187],"such":[28],"as":[29],"convolutional":[30],"networks":[32],"(CNNs)":[33],"usually":[34],"requires":[35],"sufficient":[36],"annotated":[37],"data,":[39],"which":[40,150],"prohibitively":[42],"expensive":[43],"unavailable":[45],"some":[47],"applications.":[48],"Additionally,":[49],"when":[50],"applying":[51],"CNN":[53],"to":[54,60,72,127,170],"new":[55],"datasets,":[56,149],"it":[57],"common":[59],"annotate":[61],"individual":[62,107],"cells/nuclei":[63],"those":[65],"target":[66,192],"datasets":[67],"for":[68,90,106],"model":[69,105],"re-learning,":[70],"leading":[71],"inefficient":[73],"low-throughput":[75],"analysis.":[77],"To":[78],"tackle":[79],"these":[80],"problems,":[81],"we":[82,119],"present":[83],"bidirectional,":[85],"adversarial":[86],"domain":[87,124],"adaptation":[88,125],"method":[89,100,126,143,178],"on":[93,144],"cross-modality":[94,146],"data.":[97],"Specifically,":[98],"the":[99,135,141],"learns":[101],"regression":[104],"with":[110,182,189],"both":[111],"source-to-target":[112],"target-to-source":[114],"translation.":[116],"In":[117,174],"addition,":[118,175],"explicitly":[120],"extend":[121],"this":[122],"unsupervised":[123],"semi-supervised":[129,177],"learning":[130,186],"situation":[131],"further":[133],"boost":[134],"performance.":[138],"We":[139],"evaluate":[140],"proposed":[142],"three":[145],"cover":[151],"wide":[153],"variety":[154],"of":[155],"imaging":[157],"protocols":[158],"modalities,":[160],"obtain":[162],"significant":[164],"improvement":[165],"compared":[169],"reference":[171],"baseline":[172],"approaches.":[173],"our":[176],"very":[180],"competitive":[181],"recent":[183],"fully":[184],"trained":[188],"all":[190],"real":[191],"labels.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}