{"id":"https://openalex.org/W4321488692","doi":"https://doi.org/10.1109/icoin56518.2023.10049010","title":"A New Chapter for Medical Image Generation: The Stable Diffusion Method","display_name":"A New Chapter for Medical Image Generation: The Stable Diffusion Method","publication_year":2023,"publication_date":"2023-01-11","ids":{"openalex":"https://openalex.org/W4321488692","doi":"https://doi.org/10.1109/icoin56518.2023.10049010"},"language":"en","primary_location":{"id":"doi:10.1109/icoin56518.2023.10049010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin56518.2023.10049010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Networking (ICOIN)","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/A5053206304","display_name":"Loc X. Nguyen","orcid":"https://orcid.org/0000-0001-5911-5847"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Loc X. Nguyen","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054911644","display_name":"Pyae Sone Aung","orcid":"https://orcid.org/0000-0001-8331-6729"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Pyae Sone Aung","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055592666","display_name":"Huy Q. Le","orcid":"https://orcid.org/0009-0007-8342-7614"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Huy Q. Le","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042224699","display_name":"Seong-Bae Park","orcid":"https://orcid.org/0000-0002-6453-0348"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Bae Park","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034052371","display_name":"Choong Seon Hong","orcid":"https://orcid.org/0000-0003-3484-7333"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Choong Seon Hong","raw_affiliation_strings":["Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Computer Science and Engineering,Republic of Korea,171-04","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053206304"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":3.6571,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94557859,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"483","last_page":"486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.8017653226852417},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6502280235290527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5970417261123657},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5885988473892212},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.5764255523681641},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5625728964805603},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5007808208465576},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4974406063556671},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.41474419832229614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3874607980251312},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3511163592338562},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1536497175693512},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08310768008232117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8017653226852417},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6502280235290527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5970417261123657},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5885988473892212},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.5764255523681641},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5625728964805603},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5007808208465576},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4974406063556671},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.41474419832229614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3874607980251312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3511163592338562},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1536497175693512},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08310768008232117},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icoin56518.2023.10049010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icoin56518.2023.10049010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Information Networking (ICOIN)","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":16,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2567079332","https://openalex.org/W2743780012","https://openalex.org/W2806118840","https://openalex.org/W2957032429","https://openalex.org/W3036167779","https://openalex.org/W3096831136","https://openalex.org/W3107948185","https://openalex.org/W4220950859","https://openalex.org/W4283698495","https://openalex.org/W4301206121","https://openalex.org/W4312933868","https://openalex.org/W6679045638","https://openalex.org/W6765779288","https://openalex.org/W6779823529","https://openalex.org/W7015098694"],"related_works":["https://openalex.org/W3178025616","https://openalex.org/W2131831293","https://openalex.org/W2017457812","https://openalex.org/W2946160871","https://openalex.org/W1995073329","https://openalex.org/W3035059915","https://openalex.org/W2060947339","https://openalex.org/W425542480","https://openalex.org/W49967185","https://openalex.org/W2107727507"],"abstract_inverted_index":{"Data":[0],"collecting":[1],"and":[2,8,40,80,103,134,142,193],"sharing":[3,27],"have":[4,49],"been":[5,50],"widely":[6],"accepted":[7],"adopted":[9],"to":[10,52,97,100,146,157,180],"improve":[11],"the":[12,24,28,63,87,120,137,159,172,182,185,197,201],"performance":[13,183],"of":[14,30,65,94,119,184,200],"deep":[15],"learning":[16,62],"models":[17],"in":[18,23,112,189],"almost":[19],"every":[20],"field.":[21],"Nevertheless,":[22],"medical":[25,47,67,84,160,190],"field,":[26],"data":[29],"patients":[31],"can":[32,77],"raise":[33],"several":[34],"critical":[35],"issues,":[36],"such":[37,54,127],"as":[38,128,171],"privacy":[39],"security":[41],"or":[42],"even":[43],"legal":[44],"issues.":[45],"Synthetic":[46],"images":[48,58,68],"proposed":[51,186],"overcome":[53],"challenges;":[55],"these":[56],"synthetic":[57],"are":[59],"generated":[60],"by":[61],"distribution":[64],"realistic":[66,102],"but":[69],"completely":[70],"different":[71,83],"from":[72],"them":[73],"so":[74],"that":[75],"they":[76],"be":[78],"shared":[79],"used":[81],"across":[82],"institutions.":[85],"Currently,":[86],"diffusion":[88,138,187],"model":[89,139,188],"(DM)":[90],"has":[91],"gained":[92],"lots":[93],"attention":[95],"due":[96,145],"its":[98,147],"potential":[99],"generate":[101],"high-resolution":[104],"images,":[105],"particularly":[106],"outperforming":[107],"generative":[108],"adversarial":[109],"networks":[110],"(GANs)":[111],"many":[113],"applications.":[114],"The":[115],"DM":[116,156],"defines":[117],"state":[118],"art":[121],"for":[122,168],"various":[123],"computer":[124,164],"vision":[125],"tasks":[126],"image":[129,132,191],"inpainting,":[130],"class-conditional":[131],"synthesis,":[133],"others.":[135],"However,":[136],"is":[140],"time":[141],"power":[143],"consumption":[144],"large":[148],"size.":[149],"Therefore,":[150],"this":[151],"paper":[152],"proposes":[153],"a":[154],"lightweight":[155],"synthesize":[158],"image;":[161],"we":[162,176,195],"use":[163],"tomography":[165],"(CT)":[166],"scans":[167],"SARS-CoV-2":[169],"(Covid-19)":[170],"training":[173],"dataset.":[174],"Then":[175],"do":[177],"extensive":[178],"simulations":[179],"show":[181],"generation,":[192],"then":[194],"explain":[196],"key":[198],"component":[199],"model.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}