{"id":"https://openalex.org/W3005778357","doi":"https://doi.org/10.1109/jbhi.2020.2971610","title":"Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection","display_name":"Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection","publication_year":2020,"publication_date":"2020-02-11","ids":{"openalex":"https://openalex.org/W3005778357","doi":"https://doi.org/10.1109/jbhi.2020.2971610","mag":"3005778357","pmid":"https://pubmed.ncbi.nlm.nih.gov/32071011"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2020.2971610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.2971610","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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100368805","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0001-5097-2113"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5097-2113","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052731721","display_name":"Lina Yao","orcid":"https://orcid.org/0000-0002-4149-839X"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lina Yao","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4149-839X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080602004","display_name":"Manqing Dong","orcid":"https://orcid.org/0000-0003-1987-2207"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Manqing Dong","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038805046","display_name":"Zhe Liu","orcid":"https://orcid.org/0000-0003-2692-2110"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhe Liu","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433744","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-4087-6544"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Stanford University School of Medicine, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University School of Medicine, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"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":"Yong Li","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5617-1659","affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.808,"has_fulltext":false,"cited_by_count":128,"citation_normalized_percentile":{"value":0.98611562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"24","issue":"10","first_page":"2852","last_page":"2859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10094","display_name":"Epilepsy research and treatment","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/electroencephalography","display_name":"Electroencephalography","score":0.8120839595794678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7314581274986267},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.6898106336593628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6126150488853455},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5212365388870239},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.515009880065918},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4851720929145813},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48029324412345886},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.475117027759552},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4689366817474365},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.46523064374923706},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4648754894733429},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.46077650785446167},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.42040950059890747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3650854527950287},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20784398913383484},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.18561655282974243}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8120839595794678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314581274986267},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.6898106336593628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6126150488853455},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5212365388870239},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.515009880065918},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4851720929145813},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48029324412345886},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.475117027759552},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4689366817474365},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.46523064374923706},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4648754894733429},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.46077650785446167},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.42040950059890747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3650854527950287},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20784398913383484},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.18561655282974243},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2020.2971610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.2971610","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:32071011","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32071011","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1551911662","https://openalex.org/W1906184128","https://openalex.org/W1993799640","https://openalex.org/W2043596210","https://openalex.org/W2151182412","https://openalex.org/W2279742991","https://openalex.org/W2345279893","https://openalex.org/W2406376216","https://openalex.org/W2490215499","https://openalex.org/W2493031908","https://openalex.org/W2517194566","https://openalex.org/W2568407436","https://openalex.org/W2613155248","https://openalex.org/W2739748921","https://openalex.org/W2767033786","https://openalex.org/W2774975003","https://openalex.org/W2789800602","https://openalex.org/W2795691199","https://openalex.org/W2809868225","https://openalex.org/W2887847363","https://openalex.org/W2896164972","https://openalex.org/W2944170161","https://openalex.org/W2947201980","https://openalex.org/W2947485207","https://openalex.org/W2952116256","https://openalex.org/W2962951526","https://openalex.org/W2963403868","https://openalex.org/W2963861107","https://openalex.org/W2964182988","https://openalex.org/W2996585552","https://openalex.org/W3105005018","https://openalex.org/W4385245566","https://openalex.org/W6723019446","https://openalex.org/W6739901393","https://openalex.org/W6741832134","https://openalex.org/W6762145435"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W3199964822","https://openalex.org/W4232132981","https://openalex.org/W4238046985","https://openalex.org/W3164948662","https://openalex.org/W3003242282","https://openalex.org/W3153597579","https://openalex.org/W3012824888","https://openalex.org/W2998249245"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,78,123,154,186],"a":[2,53,187],"chronic":[3],"neurological":[4],"disorder":[5],"characterized":[6],"by":[7],"the":[8,19,24,39,44,69,82,87,99,109,116,126,142,150,190],"occurrence":[9],"of":[10,18,23,42,111,173,192],"spontaneous":[11],"seizures,":[12],"which":[13,185],"affects":[14],"about":[15],"one":[16],"percent":[17],"worlds":[20],"population.":[21],"Most":[22],"current":[25],"seizure":[26,58,65,117,175],"detection":[27,59],"approaches":[28],"strongly":[29],"rely":[30],"on":[31,177],"patient":[32],"history":[33],"records":[34],"and":[35,55,168],"thus":[36],"fail":[37],"in":[38,115],"patient-independent":[40,170],"situation":[41],"detecting":[43],"new":[45],"patients.":[46],"To":[47],"overcome":[48],"such":[49],"limitation,":[50],"we":[51,101],"propose":[52,165],"robust":[54],"explainable":[56],"epileptic":[57,174],"model":[60,77,140],"that":[61,138],"effectively":[62],"learns":[63],"from":[64,86],"states":[66],"while":[67],"eliminates":[68],"inter-patient":[70],"noises.":[71],"A":[72],"complex":[73],"deep":[74],"neural":[75],"network":[76],"proposed":[79,121],"to":[80,97,106,157],"learn":[81,108],"pure":[83],"seizure-specific":[84],"representation":[85],"raw":[88,178],"non-invasive":[89],"electroencephalography":[90],"(EEG)":[91],"signals":[92,180],"through":[93],"adversarial":[94],"training.":[95],"Furthermore,":[96],"enhance":[98],"explainability,":[100],"develop":[102],"an":[103,166],"attention":[104,152],"mechanism":[105,153],"automatically":[107],"importance":[110],"each":[112],"EEG":[113,130,179],"channels":[114],"diagnosis":[118,171],"procedure.":[119],"The":[120,134],"approach":[122,172],"evaluated":[124],"over":[125],"Temple":[127],"University":[128],"Hospital":[129],"(TUH":[131],"EEG)":[132],"database.":[133],"experimental":[135],"results":[136],"illustrate":[137],"our":[139],"outperforms":[141],"competitive":[143],"state-of-the-art":[144],"baselines":[145],"with":[146],"low":[147],"latency.":[148],"Moreover,":[149],"designed":[151],"demonstrated":[155],"ables":[156],"provide":[158],"fine-grained":[159],"information":[160],"for":[161,195],"pathological":[162],"analysis.":[163],"We":[164],"effective":[167],"efficient":[169],"based":[176],"without":[181],"manually":[182],"feature":[183],"engineering,":[184],"step":[188],"toward":[189],"development":[191],"large-scale":[193],"deployment":[194],"real-life":[196],"use.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}