{"id":"https://openalex.org/W4388674356","doi":"https://doi.org/10.1109/bhi58575.2023.10313377","title":"Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation","display_name":"Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation","publication_year":2023,"publication_date":"2023-10-15","ids":{"openalex":"https://openalex.org/W4388674356","doi":"https://doi.org/10.1109/bhi58575.2023.10313377"},"language":"en","primary_location":{"id":"doi:10.1109/bhi58575.2023.10313377","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bhi58575.2023.10313377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","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/A5104176193","display_name":"Han Bao","orcid":"https://orcid.org/0009-0002-2149-6239"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Han Bao","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,30332"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008428605","display_name":"Jie Deng","orcid":"https://orcid.org/0000-0003-0249-1969"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Deng","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,30332"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111154298","display_name":"Shihao Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shihao Xing","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,30332"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103225696","display_name":"Yishan Zhong","orcid":"https://orcid.org/0000-0002-7010-4521"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yishan Zhong","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,30332"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034193264","display_name":"Wenqi Shi","orcid":"https://orcid.org/0000-0001-8972-7342"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenqi Shi","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,30332"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089017848","display_name":"Benoit Marteau","orcid":"https://orcid.org/0000-0002-4177-7161"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benoit Marteau","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,30332"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,30332","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025437156","display_name":"Bibhuti B. Das","orcid":"https://orcid.org/0000-0001-9530-8785"},"institutions":[{"id":"https://openalex.org/I29606459","display_name":"University of Mississippi Medical Center","ror":"https://ror.org/044pcn091","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I29606459","https://openalex.org/I4210141039"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bibhuti Das","raw_affiliation_strings":["University of Mississippi Medical Center,Jackson,MS,39216"],"affiliations":[{"raw_affiliation_string":"University of Mississippi Medical Center,Jackson,MS,39216","institution_ids":["https://openalex.org/I29606459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032759472","display_name":"Bahig M. Shehata","orcid":null},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bahig Shehata","raw_affiliation_strings":["Wayne State University School of Medicine,Detroit,MI,48201"],"affiliations":[{"raw_affiliation_string":"Wayne State University School of Medicine,Detroit,MI,48201","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090170008","display_name":"Shriprasad R. Deshpande","orcid":"https://orcid.org/0000-0002-8358-9783"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shriprasad Deshpande","raw_affiliation_strings":["Children's National Health System,Washington, DC,20010"],"affiliations":[{"raw_affiliation_string":"Children's National Health System,Washington, DC,20010","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030096887","display_name":"May D. Wang","orcid":"https://orcid.org/0000-0003-3961-3608"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"May D. Wang","raw_affiliation_strings":["Georgia Institute of Technology,Atlanta,GA,30332"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology,Atlanta,GA,30332","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5104176193"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.3268,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64451564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11189","display_name":"Transplantation: Methods and Outcomes","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11189","display_name":"Transplantation: Methods and Outcomes","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11970","display_name":"Molecular Biology Techniques and Applications","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},{"id":"https://openalex.org/T11316","display_name":"Mycobacterium research and diagnosis","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.5992437601089478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5224429965019226},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.411994069814682},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37797603011131287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36352288722991943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5992437601089478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5224429965019226},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.411994069814682},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37797603011131287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36352288722991943}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi58575.2023.10313377","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bhi58575.2023.10313377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1989811344","https://openalex.org/W2183341477","https://openalex.org/W2605876885","https://openalex.org/W2937583316","https://openalex.org/W2955425717","https://openalex.org/W2972563824","https://openalex.org/W2990099053","https://openalex.org/W3036167779","https://openalex.org/W3046193758","https://openalex.org/W3096831136","https://openalex.org/W3107410755","https://openalex.org/W3162926177","https://openalex.org/W3189709464","https://openalex.org/W3201409833","https://openalex.org/W4287282209","https://openalex.org/W4294643831","https://openalex.org/W4319003560","https://openalex.org/W4323044448","https://openalex.org/W6762718338","https://openalex.org/W6765779288","https://openalex.org/W6779823529","https://openalex.org/W6791436925","https://openalex.org/W6795288823"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Heart":[0],"Transplant":[1,103],"Rejection":[2,104],"(HTR)":[3],"is":[4,36,86,93,198],"a":[5,37,78,87,131,199],"rare":[6,88,207,221],"condition":[7,89],"that":[8,134,194],"requires":[9,77],"early":[10],"detection":[11],"to":[12,16,50,62,138,177,186,218],"prevent":[13],"lasting":[14],"damage":[15],"the":[17,21,52,91,98,120,127,159,210],"transplanted":[18],"heart.":[19],"Unfortunately,":[20],"current":[22],"HTR":[23,85,147],"grading":[24],"through":[25],"biopsy":[26],"image":[27,56,75],"classification":[28,76,149],"lacks":[29],"consistency":[30],"among":[31],"pathologists.":[32,70],"In":[33,40,209],"addition,":[34],"it":[35],"time-consuming":[38],"task.":[39],"this":[41,216],"work,":[42],"we":[43,129,212],"have":[44],"developed":[45,130],"an":[46,73,173,182],"automated":[47,74],"diagnosis":[48],"pipeline":[49],"streamline":[51],"heart":[53],"transplant":[54],"histopathology":[55],"quantification":[57],"and":[58,90,111,181],"classification,":[59],"in":[60,125,172,189,202,215],"order":[61],"provide":[63],"objectivity":[64],"for":[65,69,179,206],"clinical":[66,223],"decision":[67,224],"support":[68,225],"Traditionally,":[71],"developing":[72,203],"substantial":[79],"amount":[80],"of":[81,142,168],"labeled":[82],"data.":[83],"However,":[84],"dataset":[92,99,153,160],"usually":[94],"unbalanced.":[95],"For":[96],"example,":[97],"from":[100,175,184],"DNA":[101],"Based":[102],"(DTRT)":[105],"comprises":[106],"1,509":[107],"rejection":[108,156,164],"tile":[109,116],"images":[110,141],"190":[112],"times":[113],"more":[114,220],"non-rejection":[115],"images.":[117],"To":[118],"address":[119],"small":[121],"data":[122,196],"sample":[123],"challenge":[124],"training":[126],"classifiers,":[128],"novel":[132],"strategy":[133,201],"used":[135],"diffusion":[136],"model":[137],"generate":[139],"synthetic":[140,155,163,169,195],"rejection.":[143],"We":[144],"conducted":[145],"comprehensive":[146],"grade":[148],"comparing":[150],"results":[151],"using":[152],"with":[154],"tiles":[157],"versus":[158],"without":[161],"any":[162],"tiles.":[165],"The":[166],"introduction":[167],"augmentation":[170,197],"resulted":[171],"improvement":[174,183],"0.781":[176],"0.981":[178],"sensitivity,":[180],"0.984":[185],"over":[187],"0.998":[188],"AUROC.":[190],"This":[191],"study":[192],"illustrated":[193],"feasible":[200],"AI":[204],"solutions":[205],"diseases.":[208],"future,":[211],"will":[213],"expand":[214],"direction":[217],"benefit":[219],"disease":[222],"development.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}