{"id":"https://openalex.org/W4386362776","doi":"https://doi.org/10.1109/isbi53787.2023.10230473","title":"High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network","display_name":"High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386362776","doi":"https://doi.org/10.1109/isbi53787.2023.10230473"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","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/A5074865219","display_name":"Yulun Zhang","orcid":"https://orcid.org/0000-0002-2288-5079"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yulun Zhang","raw_affiliation_strings":["ETH Zürich,Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zürich,Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085365474","display_name":"Donglai Wei","orcid":"https://orcid.org/0000-0002-2329-5484"},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donglai Wei","raw_affiliation_strings":["Boston College,USA","Boston College, USA"],"affiliations":[{"raw_affiliation_string":"Boston College,USA","institution_ids":["https://openalex.org/I103531236"]},{"raw_affiliation_string":"Boston College, USA","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036909597","display_name":"Richard Schalek","orcid":"https://orcid.org/0000-0003-2450-1718"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Schalek","raw_affiliation_strings":["Harvard University,USA","Harvard University, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University,USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112559368","display_name":"Yuelong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuelong Wu","raw_affiliation_strings":["Harvard University,USA","Harvard University, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University,USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009627681","display_name":"Stephen G. Turney","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Turney","raw_affiliation_strings":["Harvard University,USA","Harvard University, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University,USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037495122","display_name":"Jeff W. Lichtman","orcid":"https://orcid.org/0000-0002-0208-3212"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff Lichtman","raw_affiliation_strings":["Harvard University,USA","Harvard University, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University,USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043151044","display_name":"Hanspeter Pfister","orcid":"https://orcid.org/0000-0002-3620-2582"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanspeter Pfister","raw_affiliation_strings":["Harvard University,USA","Harvard University, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University,USA","institution_ids":["https://openalex.org/I2801851002"]},{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005819096","display_name":"Yun Fu","orcid":"https://orcid.org/0000-0002-5098-2853"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Fu","raw_affiliation_strings":["Northeastern University,USA","Northeastern University, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5074865219"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4913,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65292192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980999827384949,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9907000064849854,"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":0.9772999882698059,"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/deblurring","display_name":"Deblurring","score":0.9294948577880859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7196734547615051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6619418263435364},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6354221701622009},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6007182598114014},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48111575841903687},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4432205557823181},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.4349457025527954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42003077268600464},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36458778381347656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35532146692276},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26150238513946533},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2071727216243744},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.19188988208770752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15430444478988647}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9294948577880859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196734547615051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6619418263435364},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6354221701622009},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6007182598114014},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48111575841903687},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4432205557823181},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.4349457025527954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42003077268600464},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36458778381347656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35532146692276},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26150238513946533},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2071727216243744},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.19188988208770752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15430444478988647},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1885185971","https://openalex.org/W2050322675","https://openalex.org/W2133665775","https://openalex.org/W2613155248","https://openalex.org/W2752782242","https://openalex.org/W2770804203","https://openalex.org/W2891158090","https://openalex.org/W2963312584","https://openalex.org/W2963319519","https://openalex.org/W2963372104","https://openalex.org/W2963470893","https://openalex.org/W2964094751","https://openalex.org/W2964101377","https://openalex.org/W2979741709","https://openalex.org/W2988823324","https://openalex.org/W3000775737","https://openalex.org/W6631190155","https://openalex.org/W6738893770"],"related_works":["https://openalex.org/W3200192952","https://openalex.org/W2062923025","https://openalex.org/W4308216825","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W2037458148"],"abstract_inverted_index":{"High-quality":[0],"(HQ)":[1],"microscopy":[2,21,39,86,97],"images":[3,22],"afford":[4],"more":[5,46],"detailed":[6],"information":[7],"for":[8,84],"modern":[9],"life":[10],"science":[11],"research":[12],"and":[13,52,98,101,131,150],"quantitative":[14],"image":[15,57,87],"analyses.":[16],"However,":[17],"in":[18,134],"practice,":[19],"HQ":[20,95],"are":[23,82,145],"not":[24],"commonly":[25],"available":[26],"or":[27,78],"suffer":[28,70],"from":[29,71],"blurring":[30],"artifacts.":[31],"Compared":[32],"with":[33,137],"natural":[34,56],"images,":[35],"such":[36],"low-quality":[37],"(LQ)":[38],"ones":[40],"often":[41],"share":[42],"some":[43],"visual":[44,117,129],"characteristics:":[45],"complex":[47],"structures,":[48],"less":[49],"informative":[50],"background,":[51],"repeating":[53],"patterns.":[54],"For":[55],"deblurring,":[58],"deep":[59,112],"convolutional":[60,140],"neural":[61],"networks":[62],"(CNNs)":[63],"achieve":[64,156],"promising":[65],"performance.":[66],"But":[67],"they":[68],"usually":[69],"large":[72],"model":[73],"sizes,":[74],"heavy":[75],"computation":[76],"costs,":[77],"small":[79],"throughput,":[80],"which":[81],"critical":[83],"high-throughput":[85],"deblurring.":[88],"To":[89],"address":[90],"those":[91],"problems,":[92],"we":[93,110],"collect":[94],"electron":[96],"histology":[99],"datasets":[100],"propose":[102],"a":[103,120,138],"graph":[104,121,136,139,157],"reasoning":[105,133,143,158],"attention":[106,149,159],"network":[107],"(GRAN).":[108],"Specifically,":[109],"treat":[111],"feature":[113],"points":[114],"as":[115,148],"embedded":[116],"components,":[118,130],"build":[119],"describing":[122],"the":[123,135,168],"relationship":[124],"between":[125],"all":[126],"pairs":[127],"of":[128,170],"perform":[132],"network.":[141],"The":[142],"results":[144],"then":[146],"transferred":[147],"residual":[151],"learning":[152],"is":[153],"introduced":[154],"to":[155,166],"block":[160],"(GRAB).":[161],"We":[162],"conduct":[163],"extensive":[164],"experiments":[165],"demonstrate":[167],"effectiveness":[169],"our":[171],"GRAN.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}