{"id":"https://openalex.org/W3028262853","doi":"https://doi.org/10.1109/isbi45749.2020.9098618","title":"ISING-GAN: Annotated Data Augmentation with a Spatially Constrained Generative Adversarial Network","display_name":"ISING-GAN: Annotated Data Augmentation with a Spatially Constrained Generative Adversarial Network","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3028262853","doi":"https://doi.org/10.1109/isbi45749.2020.9098618","mag":"3028262853"},"language":"en","primary_location":{"id":"doi:10.1109/isbi45749.2020.9098618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015782722","display_name":"Panagiotis Dimitrakopoulos","orcid":"https://orcid.org/0000-0002-0975-0735"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"P. Dimitrakopoulos","raw_affiliation_strings":["University of Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039126972","display_name":"Giorgos Sfikas","orcid":"https://orcid.org/0000-0002-7305-2886"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"G. Sfikas","raw_affiliation_strings":["CERTH/ITI, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERTH/ITI, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058318737","display_name":"Christophoros Nikou","orcid":"https://orcid.org/0000-0003-1388-6915"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"C. Nikou","raw_affiliation_strings":["University of Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.5431,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.99020248,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1600","last_page":"1603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9995999932289124,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8122879266738892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7692043781280518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5832281708717346},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5767109990119934},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5453192591667175},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5233094692230225},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5040711164474487},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.46298184990882874},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.45905646681785583},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.45378395915031433},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45014435052871704},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4433697760105133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4320685565471649},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.36088424921035767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33640068769454956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3302285671234131},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2217698097229004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10170787572860718}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8122879266738892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692043781280518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5832281708717346},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5767109990119934},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5453192591667175},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5233094692230225},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5040711164474487},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.46298184990882874},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.45905646681785583},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.45378395915031433},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45014435052871704},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4433697760105133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4320685565471649},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.36088424921035767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33640068769454956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3302285671234131},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2217698097229004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10170787572860718},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi45749.2020.9098618","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi45749.2020.9098618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)","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":22,"referenced_works":["https://openalex.org/W1785730614","https://openalex.org/W1901129140","https://openalex.org/W2019062120","https://openalex.org/W2163605009","https://openalex.org/W2585386021","https://openalex.org/W2618530766","https://openalex.org/W2770173563","https://openalex.org/W2794022343","https://openalex.org/W2799351094","https://openalex.org/W2807869636","https://openalex.org/W2843598537","https://openalex.org/W2892046320","https://openalex.org/W2898091194","https://openalex.org/W2962760235","https://openalex.org/W2963981733","https://openalex.org/W3145164839","https://openalex.org/W3201409833","https://openalex.org/W4246070010","https://openalex.org/W4294643831","https://openalex.org/W4298629799","https://openalex.org/W6639824700","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W3156763702","https://openalex.org/W4311784262","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4226298148","https://openalex.org/W2972144487"],"abstract_inverted_index":{"Data":[0],"augmentation":[1],"is":[2,84],"a":[3,51,59,81],"popular":[4],"technique":[5],"with":[6,76],"which":[7],"new":[8,40,52],"dataset":[9],"samples":[10],"are":[11],"artificially":[12],"synthesized":[13],"to":[14,104],"the":[15,46,114,126],"end":[16],"of":[17,20,69,128],"assisting":[18],"training":[19],"learning-based":[21],"algorithms":[22],"and":[23],"avoiding":[24],"overfitting.":[25],"Methods":[26],"based":[27],"on":[28,39,107],"generative":[29],"adversarial":[30],"networks":[31],"(GANs)":[32],"have":[33],"recently":[34],"rekindled":[35],"interest":[36],"in":[37],"research":[38],"techniques":[41],"for":[42,55],"data":[43,56],"augmentation.":[44],"With":[45],"current":[47],"paper":[48],"we":[49],"propose":[50],"GAN-based":[53],"model":[54,87],"augmentation,":[57],"comprising":[58],"suitable":[60],"Markov":[61],"random":[62],"field-based":[63],"spatial":[64],"constraint":[65],"that":[66],"encourages":[67],"synthesis":[68],"spatially":[70],"smooth":[71],"outputs.":[72],"Oriented":[73],"towards":[74],"use":[75],"medical":[77],"imaging":[78],"sets":[79],"where":[80],"localization/segmentation":[82],"annotation":[83],"available,":[85],"our":[86,129],"can":[88],"simultaneously":[89],"also":[90],"produce":[91],"artificial":[92],"annotations.":[93],"We":[94],"gauge":[95],"performance":[96,100],"numerically":[97],"by":[98,110],"measuring":[99],"through":[101],"U-Net":[102],"trained":[103],"detect":[105],"cells":[106],"microscopy":[108],"images,":[109],"taking":[111],"into":[112],"account":[113],"produced":[115],"augmented":[116],"dataset.":[117],"Numerical":[118],"trials,":[119],"as":[120,122],"well":[121],"qualitative":[123],"results":[124],"validate":[125],"contribution":[127],"model.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
