{"id":"https://openalex.org/W4386597038","doi":"https://doi.org/10.1109/icip49359.2023.10222546","title":"Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings","display_name":"Style Transfer Between Microscopy and Magnetic Resonance Imaging Via Generative Adversarial Network in Small Sample Size Settings","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386597038","doi":"https://doi.org/10.1109/icip49359.2023.10222546"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2310.10414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042829685","display_name":"Monika Pytlarz","orcid":"https://orcid.org/0000-0001-5319-1769"},"institutions":[{"id":"https://openalex.org/I4210119510","display_name":"Personalis (United States)","ror":"https://ror.org/0303drj82","country_code":"US","type":"company","lineage":["https://openalex.org/I4210119510"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Monika Pytlarz","raw_affiliation_strings":["Sano – Centre for Computational Personalised Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sano – Centre for Computational Personalised Medicine","institution_ids":["https://openalex.org/I4210119510"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031153397","display_name":"Adrian Onicas","orcid":"https://orcid.org/0000-0002-5953-8548"},"institutions":[{"id":"https://openalex.org/I4210119510","display_name":"Personalis (United States)","ror":"https://ror.org/0303drj82","country_code":"US","type":"company","lineage":["https://openalex.org/I4210119510"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adrian Onicas","raw_affiliation_strings":["Sano – Centre for Computational Personalised Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sano – Centre for Computational Personalised Medicine","institution_ids":["https://openalex.org/I4210119510"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047749964","display_name":"Alessandro Crimi","orcid":"https://orcid.org/0000-0001-5397-6363"},"institutions":[{"id":"https://openalex.org/I4210119510","display_name":"Personalis (United States)","ror":"https://ror.org/0303drj82","country_code":"US","type":"company","lineage":["https://openalex.org/I4210119510"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessandro Crimi","raw_affiliation_strings":["Sano – Centre for Computational Personalised Medicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sano – Centre for Computational Personalised Medicine","institution_ids":["https://openalex.org/I4210119510"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042829685"],"corresponding_institution_ids":["https://openalex.org/I4210119510"],"apc_list":null,"apc_paid":null,"fwci":0.115,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40667935,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1120","last_page":"1124"},"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":0.9950000047683716,"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":0.9950000047683716,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9825999736785889,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9740999937057495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5800867676734924},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5643360018730164},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5341479182243347},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.5288442373275757},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.5036219954490662},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4922150671482086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4699770510196686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36327359080314636},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.33993208408355713},{"id":"https://openalex.org/keywords/nuclear-magnetic-resonance","display_name":"Nuclear magnetic resonance","score":0.3260148763656616},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.26767653226852417},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20222601294517517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15613263845443726},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08544564247131348},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.07105520367622375}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5800867676734924},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5643360018730164},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5341479182243347},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.5288442373275757},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.5036219954490662},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4922150671482086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4699770510196686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36327359080314636},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.33993208408355713},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.3260148763656616},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.26767653226852417},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20222601294517517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15613263845443726},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08544564247131348},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.07105520367622375},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip49359.2023.10222546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2310.10414","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.10414","pdf_url":"https://arxiv.org/pdf/2310.10414","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2310.10414","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.10414","pdf_url":"https://arxiv.org/pdf/2310.10414","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G4433560962","display_name":null,"funder_award_id":"857533","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321042","display_name":"Fundacja na rzecz Nauki Polskiej","ror":"https://ror.org/048zd9m77"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2038003836","https://openalex.org/W2127890285","https://openalex.org/W2559655401","https://openalex.org/W2623064601","https://openalex.org/W2732257751","https://openalex.org/W2806118840","https://openalex.org/W2886541372","https://openalex.org/W2891326889","https://openalex.org/W2945263066","https://openalex.org/W2952481429","https://openalex.org/W2962785568","https://openalex.org/W2962793691","https://openalex.org/W2963073614","https://openalex.org/W2963873275","https://openalex.org/W2971552217","https://openalex.org/W3049136820","https://openalex.org/W3096831136","https://openalex.org/W3162926177","https://openalex.org/W3207260133","https://openalex.org/W3214977413","https://openalex.org/W4214874138","https://openalex.org/W4220973849","https://openalex.org/W4221004703","https://openalex.org/W4226193026","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6746090280","https://openalex.org/W6753548976","https://openalex.org/W6754922586","https://openalex.org/W6765779288","https://openalex.org/W6795288823"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Cross-modal":[0],"augmentation":[1],"of":[2,27,46,66,74,90,99,133,151,158],"Magnetic":[3],"Resonance":[4],"Imaging":[5],"(MRI)":[6],"and":[7,95,113],"microscopic":[8,40],"imaging":[9],"based":[10],"on":[11,142],"the":[12,25,47,62,67,75,124,137,148,155,161],"same":[13,76],"tissue":[14],"samples":[15],"is":[16,61,104],"promising":[17],"because":[18,106],"it":[19],"can":[20,164],"allow":[21],"histopathological":[22],"analysis":[23],"in":[24,111],"absence":[26],"an":[28],"underlying":[29],"invasive":[30],"biopsy":[31],"procedure.":[32],"Here,":[33],"we":[34],"tested":[35],"a":[36],"method":[37],"for":[38,101,167],"generating":[39],"histological":[41,71],"images":[42,91,108,129],"from":[43,92,130],"MRI":[44,69,93,131,152],"scans":[45,94,132],"corpus":[48,134],"callosum":[49],"using":[50],"conditional":[51],"generative":[52],"adversarial":[53],"network":[54],"(cGAN)":[55],"architecture.":[56],"To":[57],"our":[58],"knowledge,":[59],"this":[60,102],"first":[63],"multimodal":[64],"translation":[65,86],"brain":[68],"to":[70,140],"volumetric":[72],"representation":[73],"sample.":[77],"The":[78,97,119],"technique":[79],"was":[80],"assessed":[81],"by":[82],"training":[83],"paired":[84,146],"image":[85],"models":[87],"taking":[88],"sets":[89],"microscopy.":[96],"use":[98],"cGAN":[100],"purpose":[103],"challenging":[105],"microscopy":[107],"are":[109],"large":[110],"size":[112],"typically":[114],"have":[115],"low":[116],"sample":[117],"availability.":[118],"current":[120],"work":[121],"demonstrates":[122],"that":[123],"framework":[125],"reliably":[126],"synthesizes":[127],"histology":[128],"callosum,":[135],"emphasizing":[136],"network\u2019s":[138],"ability":[139],"train":[141],"high":[143],"resolution":[144],"histologies":[145],"with":[147],"relatively":[149],"lower-resolution":[150],"scans.":[153],"With":[154],"ultimate":[156],"goal":[157],"avoiding":[159],"biopsies,":[160],"proposed":[162],"tool":[163],"be":[165],"used":[166],"educational":[168],"purposes.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-11T08:15:01.531666","created_date":"2025-10-10T00:00:00"}