{"id":"https://openalex.org/W4399039913","doi":"https://doi.org/10.1109/jbhi.2024.3405562","title":"Self-Supervised Image Denoising of Third Harmonic Generation Microscopic Images of Human Glioma Tissue by Transformer-Based Blind Spot (TBS) Network","display_name":"Self-Supervised Image Denoising of Third Harmonic Generation Microscopic Images of Human Glioma Tissue by Transformer-Based Blind Spot (TBS) Network","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4399039913","doi":"https://doi.org/10.1109/jbhi.2024.3405562","pmid":"https://pubmed.ncbi.nlm.nih.gov/38801682"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3405562","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3405562","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/jbhi.2024.3405562","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101107667","display_name":"Yuchen Wu","orcid":"https://orcid.org/0009-0006-0785-9178"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchen Wu","raw_affiliation_strings":["Institute of Modern Optics, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0006-0785-9178","affiliations":[{"raw_affiliation_string":"Institute of Modern Optics, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106667660","display_name":"Si-Qi Qiu","orcid":"https://orcid.org/0000-0002-8870-0639"},"institutions":[{"id":"https://openalex.org/I4210139852","display_name":"Shantou Central Hospital","ror":"https://ror.org/04jmrra88","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210139852"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Qiu","raw_affiliation_strings":["Diagnosis and Treatment Center of Breast Diseases, Shantou Central Hospital, Shantou, China","Clinical Research Center, Shantou Central Hospital, Shantou, China"],"raw_orcid":"https://orcid.org/0000-0002-8870-0639","affiliations":[{"raw_affiliation_string":"Diagnosis and Treatment Center of Breast Diseases, Shantou Central Hospital, Shantou, China","institution_ids":["https://openalex.org/I4210139852"]},{"raw_affiliation_string":"Clinical Research Center, Shantou Central Hospital, Shantou, China","institution_ids":["https://openalex.org/I4210139852"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060507070","display_name":"Marie Louise Groot","orcid":"https://orcid.org/0000-0001-5360-6987"},"institutions":[{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marie Louise Groot","raw_affiliation_strings":["LaserLab Amsterdam, Department of Physics and Astronomy, Faculty of Sciences, Vrije Universiteit Amsterdam De Boelelaan 1081, Amsterdam, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5360-6987","affiliations":[{"raw_affiliation_string":"LaserLab Amsterdam, Department of Physics and Astronomy, Faculty of Sciences, Vrije Universiteit Amsterdam De Boelelaan 1081, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I865915315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089376121","display_name":"Andy Zhang","orcid":"https://orcid.org/0000-0003-2306-0340"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqing Zhang","raw_affiliation_strings":["Institute of Modern Optics, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2306-0340","affiliations":[{"raw_affiliation_string":"Institute of Modern Optics, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101107667"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":2.52,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89392184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"28","issue":"8","first_page":"4688","last_page":"4700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.998199999332428,"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/noise-reduction","display_name":"Noise reduction","score":0.7934675216674805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7844614386558533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6927391886711121},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5361888408660889},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5152073502540588},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4896908104419708},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48284202814102173},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4698311984539032},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4471450746059418},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4042343497276306},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.276003360748291},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24748104810714722},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10129743814468384}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7934675216674805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7844614386558533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927391886711121},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5361888408660889},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5152073502540588},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4896908104419708},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48284202814102173},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4698311984539032},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4471450746059418},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4042343497276306},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.276003360748291},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24748104810714722},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10129743814468384},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D005910","descriptor_name":"Glioma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2024.3405562","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3405562","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38801682","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38801682","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:research.vu.nl:openaire_cris_publications/74853e30-aa58-44e8-91f5-146e58ba5364","is_oa":true,"landing_page_url":"https://research.vu.nl/en/publications/74853e30-aa58-44e8-91f5-146e58ba5364","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wu, Y, Qiu, S, Groot, M L & Zhang, Z 2024, 'Self-Supervised Image Denoising of Third Harmonic Generation Microscopic Images of Human Glioma Tissue by Transformer-Based Blind Spot (TBS) Network', IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 8, pp. 4688-4700. https://doi.org/10.1109/JBHI.2024.3405562","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:research.vu.nl:publications/74853e30-aa58-44e8-91f5-146e58ba5364","is_oa":true,"landing_page_url":"https://hdl.handle.net/1871.1/74853e30-aa58-44e8-91f5-146e58ba5364","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"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":"Wu, Y, Qiu, S, Groot, M L & Zhang, Z 2024, 'Self-Supervised Image Denoising of Third Harmonic Generation Microscopic Images of Human Glioma Tissue by Transformer-Based Blind Spot (TBS) Network', IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 8, pp. 4688-4700. https://doi.org/10.1109/JBHI.2024.3405562","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1109/jbhi.2024.3405562","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3405562","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4673843570","display_name":null,"funder_award_id":"63243141","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321014","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50"},{"id":"https://openalex.org/F4320323021","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1977786555","https://openalex.org/W1985588167","https://openalex.org/W2044197183","https://openalex.org/W2056370875","https://openalex.org/W2156257772","https://openalex.org/W2508457857","https://openalex.org/W2764207251","https://openalex.org/W2771305881","https://openalex.org/W2798278116","https://openalex.org/W2811295358","https://openalex.org/W2902857081","https://openalex.org/W2903905773","https://openalex.org/W2926744292","https://openalex.org/W2963571608","https://openalex.org/W2999653953","https://openalex.org/W3015519144","https://openalex.org/W3034504121","https://openalex.org/W3082373142","https://openalex.org/W3104724358","https://openalex.org/W3138516171","https://openalex.org/W3174829522","https://openalex.org/W3178192988","https://openalex.org/W3187814982","https://openalex.org/W3207918547","https://openalex.org/W4224104371","https://openalex.org/W4226213156","https://openalex.org/W4307715697","https://openalex.org/W4312441397","https://openalex.org/W4312960790","https://openalex.org/W4313007769","https://openalex.org/W4313156423","https://openalex.org/W4377235541","https://openalex.org/W4385002531","https://openalex.org/W4385245566","https://openalex.org/W4385800613","https://openalex.org/W4386075524","https://openalex.org/W4386076517","https://openalex.org/W4386863790","https://openalex.org/W4390872913","https://openalex.org/W4390873171","https://openalex.org/W4390873229","https://openalex.org/W4390874524","https://openalex.org/W4402716100","https://openalex.org/W6749271710","https://openalex.org/W6810613308","https://openalex.org/W6854821412"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4312773500","https://openalex.org/W4297435948"],"abstract_inverted_index":{"Third":[0],"harmonic":[1],"generation":[2],"(THG)":[3],"microscopy":[4],"shows":[5,187],"great":[6],"potential":[7,218],"for":[8,54,85,219],"instant":[9,209],"pathology":[10],"of":[11,24,30,37,60,87,113,137,168,222],"brain":[12],"tumor":[13],"tissue":[14,116],"during":[15],"surgery.":[16],"However,":[17],"due":[18],"to":[19,148],"the":[20,31,34,61,66,70,217],"maximal":[21],"permitted":[22],"exposure":[23],"laser":[25],"intensity":[26],"and":[27,65,97,126,142,161,181,184,201],"inherent":[28],"noise":[29,35],"imaging":[32],"system,":[33],"level":[36],"THG":[38,50,88,111,213,223],"images":[39,51,89,112],"is":[40,52,207],"relatively":[41],"high,":[42],"which":[43,90,215],"affects":[44],"subsequent":[45],"feature":[46],"extraction":[47],"analysis.":[48],"Denoising":[49],"challenging":[53],"modern":[55],"deep-learning":[56,83],"based":[57],"methods":[58],"because":[59],"rich":[62],"morphologies":[63],"contained":[64],"difficulty":[67],"in":[68,76,140,145,210],"obtaining":[69],"noise-free":[71],"counterparts.":[72],"To":[73,163],"address":[74],"this,":[75],"this":[77],"work,":[78],"we":[79,171],"propose":[80],"an":[81,135,165],"unsupervised":[82,152,195],"network":[84],"denoising":[86,123,190,211],"combines":[91],"a":[92,98,102,188,212],"self-supervised":[93],"blind":[94],"spot":[95],"method":[96],"U-shape":[99],"Transformer":[100],"using":[101],"dynamic":[103],"sparse":[104],"attention":[105],"mechanism.":[106],"The":[107],"experimental":[108],"results":[109],"on":[110,176],"human":[114],"glioma":[115],"show":[117],"that":[118],"our":[119,169,174,185,205],"approach":[120],"exhibits":[121],"superior":[122],"performance":[124,191],"qualitatively":[125],"quantitatively":[127],"compared":[128,147],"with":[129],"previous":[130],"methods.":[131],"Our":[132],"model":[133,175,186,206],"achieves":[134],"improvement":[136],"2.47-9.50":[138],"dB":[139,144],"SNR":[141],"0.37-7.40":[143],"CNR,":[146],"six":[149],"recent":[150,194],"state-of-the-art":[151],"learning":[153],"models":[154,196],"including":[155,179],"Neighbor2Neighbor,":[156,199],"Blind2Unblind,":[157],"Self2Self+,":[158],"ZS-N2N,":[159],"Noise2Info":[160],"SDAP.":[162],"achieve":[164],"objective":[166],"evaluation":[167],"model,":[170],"also":[172],"validate":[173],"public":[177],"datasets":[178],"natural":[180],"microscopic":[182],"images,":[183],"better":[189],"than":[192],"several":[193],"such":[197],"as":[198],"Blind2Unblind":[200],"ZS-N2N.":[202],"In":[203],"addition,":[204],"nearly":[208],"image,":[214],"has":[216],"real-time":[220],"applications":[221],"microscopy.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}