{"id":"https://openalex.org/W7161846997","doi":"https://doi.org/10.1109/isbi61048.2026.11515745","title":"Hybrid Diffusion Model for Breast Ultrasound Image Augmentation","display_name":"Hybrid Diffusion Model for Breast Ultrasound Image Augmentation","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161846997","doi":"https://doi.org/10.1109/isbi61048.2026.11515745"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","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/A5053063274","display_name":"Farhan Fuad Abir","orcid":"https://orcid.org/0000-0001-7203-5876"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Farhan Fuad Abir","raw_affiliation_strings":["University of Central Florida,Electrical and Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida,Electrical and Computer Engineering","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067972640","display_name":"Sanjeda Sara Jennifer","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjeda Sara Jennifer","raw_affiliation_strings":["University of Central Florida,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida,Department of Computer Science","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132701928","display_name":"Niloofar Yousefi","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niloofar Yousefi","raw_affiliation_strings":["University of Central Florida,Industrial Engineering and Management Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida,Industrial Engineering and Management Systems","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026644166","display_name":"Laura J. Brattain","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]},{"id":"https://openalex.org/I94062374","display_name":"Florida College","ror":"https://ror.org/010bgev76","country_code":"US","type":"education","lineage":["https://openalex.org/I94062374"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laura J. Brattain","raw_affiliation_strings":["University of Central Florida College of Medicine,Department of Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida College of Medicine,Department of Medicine","institution_ids":["https://openalex.org/I106165777","https://openalex.org/I94062374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053063274"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93710144,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.1809999942779541,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.1809999942779541,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.16439999639987946,"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"}},{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.11150000244379044,"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/ultrasound","display_name":"Ultrasound","score":0.40059998631477356},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.3255000114440918},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3253999948501587},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.2921000123023987}],"concepts":[{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.4846999943256378},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.39820000529289246},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3693999946117401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3546999990940094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34630000591278076},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3253999948501587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3160000145435333},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.28679999709129333},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd 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":10,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2991372685","https://openalex.org/W4312933868","https://openalex.org/W4327909703","https://openalex.org/W4387258831","https://openalex.org/W4390873054","https://openalex.org/W4393333906","https://openalex.org/W4401879975","https://openalex.org/W4405517723","https://openalex.org/W4407568385"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,92],"hybrid":[3],"diffusion-based":[4,23],"augmentation":[5,15,121],"framework":[6,106],"to":[7,70,89],"overcome":[8],"the":[9,71,82,104,109,118],"critical":[10],"challenge":[11],"of":[12,112,120],"ultrasound":[13,18,32,65,114],"data":[14],"in":[16,95],"breast":[17,64],"(BUS)":[19],"datasets.":[20],"Unlike":[21],"conventional":[22],"augmentations,":[24],"our":[25],"approach":[26],"improves":[27],"visual":[28],"fidelity":[29,96],"and":[30,50,78,116],"preserves":[31],"texture":[33],"by":[34],"combining":[35],"text-to-image":[36],"generation":[37],"with":[38,46],"image-to-image":[39],"(img2img)":[40],"refinement,":[41],"as":[42,44],"well":[43],"fine-tuning":[45],"low-rank":[47],"adaptation":[48],"(LoRA)":[49],"textual":[51],"inversion":[52],"(TI).":[53],"Our":[54],"method":[55],"generated":[56],"realistic,":[57],"class-consistent":[58],"images":[59,115],"on":[60],"an":[61],"open-source":[62],"Kaggle":[63],"image":[66],"dataset":[67],"(BUSI).":[68],"Compared":[69],"Stable":[72],"Diffusion":[73],"v1.5":[74],"baseline,":[75],"incorporating":[76],"TI":[77],"img2img":[79],"refinement":[80],"reduced":[81],"Fr\u00e9chet":[83],"Inception":[84],"Distance":[85],"(FID)":[86],"from":[87],"45.97":[88],"33.29,":[90],"demonstrating":[91],"substantial":[93],"gain":[94],"while":[97],"maintaining":[98],"comparable":[99],"downstream":[100],"classification":[101],"performance.":[102],"Overall,":[103],"proposed":[105],"effectively":[107],"mitigates":[108],"low-fidelity":[110],"limitations":[111],"synthetic":[113],"enhances":[117],"quality":[119],"for":[122],"robust":[123],"diagnostic":[124],"modeling.":[125]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}