{"id":"https://openalex.org/W4410296467","doi":"https://doi.org/10.1109/isbi60581.2025.10980871","title":"XAI-PSSGAN: Perception-Enhanced Spectrum Shift Generative Adversarial Network with Explainable AI System for NIR-II Fluorescence Molecular Imaging","display_name":"XAI-PSSGAN: Perception-Enhanced Spectrum Shift Generative Adversarial Network with Explainable AI System for NIR-II Fluorescence Molecular Imaging","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410296467","doi":"https://doi.org/10.1109/isbi60581.2025.10980871"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd 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/A5079610626","display_name":"Lidan Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidan Fu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012672747","display_name":"Binchun Lu","orcid":"https://orcid.org/0000-0003-2677-3354"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binchun Lu","raw_affiliation_strings":["Tsinghua University,Department of Precision Instrument,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Precision Instrument,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102828800","display_name":"Lingbing Li","orcid":"https://orcid.org/0000-0002-8808-4389"},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingbing Li","raw_affiliation_strings":["Chinese PLA General Hospital,Interventional Radiology Department,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese PLA General Hospital,Interventional Radiology Department,Beijing,China","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019959232","display_name":"Xiaojing Shi","orcid":"https://orcid.org/0000-0001-6303-3676"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojing Shi","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429272","display_name":"Jie Tian","orcid":"https://orcid.org/0000-0003-2025-1870"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tian","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062435881","display_name":"Zhenhua Hu","orcid":"https://orcid.org/0000-0002-4600-3405"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Hu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,CAS Key Laboratory of Molecular Imaging,Beijing,China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3723,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88185769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9660000205039978,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9541000127792358,"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/fluorescence","display_name":"Fluorescence","score":0.5875800848007202},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5720967650413513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5628810524940491},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5307345986366272},{"id":"https://openalex.org/keywords/optical-imaging","display_name":"Optical imaging","score":0.5000171661376953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49903321266174316},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.49512115120887756},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4814574122428894},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4517747759819031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3323328495025635},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.21580955386161804},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21302205324172974},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.18497571349143982},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1023682951927185},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08857765793800354}],"concepts":[{"id":"https://openalex.org/C91881484","wikidata":"https://www.wikidata.org/wiki/Q191807","display_name":"Fluorescence","level":2,"score":0.5875800848007202},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5720967650413513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5628810524940491},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5307345986366272},{"id":"https://openalex.org/C92630104","wikidata":"https://www.wikidata.org/wiki/Q4115103","display_name":"Optical imaging","level":2,"score":0.5000171661376953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49903321266174316},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.49512115120887756},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4814574122428894},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4517747759819031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3323328495025635},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.21580955386161804},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21302205324172974},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.18497571349143982},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1023682951927185},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08857765793800354},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd 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":11,"referenced_works":["https://openalex.org/W2516809705","https://openalex.org/W2890139949","https://openalex.org/W2962793481","https://openalex.org/W2995471545","https://openalex.org/W3115300508","https://openalex.org/W3191365619","https://openalex.org/W4319081789","https://openalex.org/W4327748031","https://openalex.org/W4396566906","https://openalex.org/W6765779288","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4235873501"],"abstract_inverted_index":{"Fluorescence":[0],"imaging":[1,29,51,83,129,145],"in":[2,14,146],"the":[3,9,19,27,42,53,102,128,142],"second":[4],"near-infrared":[5],"window":[6],"(NIR-II)":[7],"facilitates":[8],"real-time":[10,28],"optical":[11],"contrast":[12],"for":[13,36,69],"vivo":[15],"biomedical":[16],"imaging.":[17],"However,":[18],"detection":[20],"noise":[21],"is":[22,136],"an":[23],"inevitable":[24],"byproduct":[25],"of":[26,44,104,137],"process.":[30],"Additionally,":[31],"fluorescent":[32,65],"probes":[33,66],"currently":[34],"approved":[35,68],"clinical":[37,74,147],"use":[38],"remain":[39],"limited":[40,105],"within":[41],"wavelength":[43],"NIR-IIa":[45],"(1000\u20131300":[46],"nm).":[47],"NIR-IIb":[48,111],"(1500\u20131700":[49],"nm)":[50],"has":[52],"potential":[54],"to":[55,140],"deliver":[56],"higher":[57],"resolution":[58,116],"than":[59],"NIR-IIa,":[60],"but":[61],"relies":[62],"on":[63,86],"toxic":[64],"not":[67],"human":[70],"use.":[71],"To":[72],"support":[73],"high-precision":[75],"imaging,":[76],"we":[77],"propose":[78],"a":[79],"NIR-II":[80,144],"fluorescence":[81],"enhanced":[82,115],"method":[84,100,125],"based":[85],"perception-enhanced":[87],"spectrum":[88],"shift":[89],"generative":[90],"adversarial":[91],"network":[92],"with":[93,114],"explainable":[94],"AI":[95],"systems":[96],"(xAI-PSSGAN).":[97],"The":[98],"proposed":[99,124],"tackles":[101],"problem":[103],"unpaired":[106],"data":[107],"training,":[108],"and":[109,117,131],"generates":[110],"resembling":[112],"images":[113],"reduced":[118],"noise.":[119],"Experimental":[120],"results":[121],"demonstrate":[122],"that":[123],"effectively":[126],"improves":[127],"quality":[130],"surpasses":[132],"competing":[133],"alternatives,":[134],"which":[135],"great":[138],"significance":[139],"promote":[141],"high-quality":[143],"practice.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}