{"id":"https://openalex.org/W4391525523","doi":"https://doi.org/10.1109/isbi56570.2024.10635150","title":"One-Sided Unsupervised Medical Image Synthesis with Normalized Edge Consistency","display_name":"One-Sided Unsupervised Medical Image Synthesis with Normalized Edge Consistency","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4391525523","doi":"https://doi.org/10.1109/isbi56570.2024.10635150"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://imt-atlantique.hal.science/hal-04437751/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023602346","display_name":"Vincent Jaouen","orcid":"https://orcid.org/0000-0003-4498-5713"},"institutions":[{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"V. Jaouen","raw_affiliation_strings":["IMT Atlantique,Brest,France"],"affiliations":[{"raw_affiliation_string":"IMT Atlantique,Brest,France","institution_ids":["https://openalex.org/I4210127572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103324658","display_name":"Pierre-Henri Conze","orcid":"https://orcid.org/0000-0003-2214-3654"},"institutions":[{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"P.-H. Conze","raw_affiliation_strings":["IMT Atlantique,Brest,France"],"affiliations":[{"raw_affiliation_string":"IMT Atlantique,Brest,France","institution_ids":["https://openalex.org/I4210127572"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017138072","display_name":"Dimitris Visvikis","orcid":"https://orcid.org/0000-0003-0831-3637"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210161065","display_name":"Laboratoire de Traitement de l'Information M\u00e9dicale","ror":"https://ror.org/05mqemx33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I4210105774","https://openalex.org/I4210161065"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"D. Visvikis","raw_affiliation_strings":["LaTIM, UMR Inserm 1101,Brest,France"],"affiliations":[{"raw_affiliation_string":"LaTIM, UMR Inserm 1101,Brest,France","institution_ids":["https://openalex.org/I4210161065","https://openalex.org/I154526488"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023602346"],"corresponding_institution_ids":["https://openalex.org/I4210127572"],"apc_list":null,"apc_paid":null,"fwci":0.2596,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46136203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9975000023841858,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6265812516212463},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6188874840736389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5883457660675049},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5604368448257446},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48806750774383545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46287065744400024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4114457070827484}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6265812516212463},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6188874840736389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5883457660675049},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5604368448257446},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48806750774383545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46287065744400024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4114457070827484}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04437751v1","is_oa":true,"landing_page_url":"https://imt-atlantique.hal.science/hal-04437751","pdf_url":"https://imt-atlantique.hal.science/hal-04437751/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBI 2024: IEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece. &#x27E8;10.1109/ISBI56570.2024.10635150&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04437751v1","is_oa":true,"landing_page_url":"https://imt-atlantique.hal.science/hal-04437751","pdf_url":"https://imt-atlantique.hal.science/hal-04437751/document","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBI 2024: IEEE International Symposium on Biomedical Imaging, May 2024, Athens, Greece. &#x27E8;10.1109/ISBI56570.2024.10635150&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391525523.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1524894299","https://openalex.org/W1901129140","https://openalex.org/W2133665775","https://openalex.org/W2617128058","https://openalex.org/W2745006834","https://openalex.org/W2842511635","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2964019233","https://openalex.org/W2982718246","https://openalex.org/W3001602557","https://openalex.org/W3038613716","https://openalex.org/W3108316907","https://openalex.org/W3173372951","https://openalex.org/W3212319976","https://openalex.org/W4285598072","https://openalex.org/W4286849741","https://openalex.org/W4287100534","https://openalex.org/W4296671877","https://openalex.org/W4297808394","https://openalex.org/W4382372079","https://openalex.org/W4389532237","https://openalex.org/W4393372414","https://openalex.org/W6772448084","https://openalex.org/W6798128096","https://openalex.org/W6804599029","https://openalex.org/W6839916579"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W4304185162","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2462100143","https://openalex.org/W1770503332","https://openalex.org/W3125207769","https://openalex.org/W2577825108","https://openalex.org/W3035059915","https://openalex.org/W3034835492"],"abstract_inverted_index":{"We":[0,103],"introduce":[1],"a":[2,60,94],"novel":[3],"one-sided":[4],"approach":[5],"for":[6,81],"unsupervised":[7],"image-to-image":[8],"(I2I)":[9],"translation,":[10],"referred":[11],"to":[12,18,44,67,71,74,88,101],"as":[13],"Normalized":[14,50],"Edge":[15],"Consistency":[16],"(NEC),":[17],"address":[19],"some":[20],"limitations":[21],"of":[22,36,77],"methods":[23,124],"like":[24,125],"CycleGAN":[25],"and":[26,90],"CUT,":[27],"which":[28],"can":[29],"produce":[30],"realistic":[31,82],"images":[32],"at":[33],"the":[34,45,49,117],"cost":[35],"limited":[37],"faithfulness":[38],"(or":[39],"structural":[40],"consistency)":[41],"with":[42,122],"respect":[43],"source.":[46],"Inspired":[47],"by":[48,93],"Gradient":[51],"Field":[52],"similarity":[53],"used":[54],"in":[55,108],"image":[56],"registration,":[57],"NEC":[58,85],"incorporates":[59],"normalized":[61],"gradient":[62],"vector":[63],"field":[64],"loss":[65],"combined":[66],"an":[68],"adversarial":[69],"objective":[70],"maintain":[72],"attachment":[73],"local":[75],"orientation":[76],"structures":[78],"while":[79],"allowing":[80],"contrast":[83],"changes.":[84],"is":[86,91],"easy":[87],"implement":[89],"governed":[92],"unique":[95],"parameter":[96],"that":[97],"controls":[98],"its":[99],"sensitivity":[100],"noise.":[102],"demonstrate":[104],"NEC\u2019s":[105],"(suprising)":[106],"efficacy":[107],"T1-toT2":[109],"brain":[110],"MRI":[111],"translation":[112],"using":[113],"unpaired":[114],"data":[115],"from":[116],"BraTS":[118],"2023":[119],"dataset,":[120],"rivaling":[121],"supervised":[123],"Pix2Pix.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
