{"id":"https://openalex.org/W3033248301","doi":"https://doi.org/10.1145/3390557.3394299","title":"Manifold-Regularized Regression Network","display_name":"Manifold-Regularized Regression Network","publication_year":2020,"publication_date":"2020-05-08","ids":{"openalex":"https://openalex.org/W3033248301","doi":"https://doi.org/10.1145/3390557.3394299","mag":"3033248301"},"language":"en","primary_location":{"id":"doi:10.1145/3390557.3394299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3390557.3394299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 the 4th International Conference on Innovation in Artificial Intelligence","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/A5101677057","display_name":"Yuxin Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxin Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352001","display_name":"Zhao Chen","orcid":"https://orcid.org/0000-0002-5411-8659"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Chen","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113272795","display_name":"Yanfei Zuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanfei Zuo","raw_affiliation_strings":["Histo Pathology, Diagnostic Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Histo Pathology, Diagnostic Center, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054904011","display_name":"Xiaosong Guan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaosong Guan","raw_affiliation_strings":["Histo Pathology, Diagnostic Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Histo Pathology, Diagnostic Center, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659515","display_name":"Zhaoyu Wang","orcid":"https://orcid.org/0000-0003-0656-0562"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaoyu Wang","raw_affiliation_strings":["Histo Pathology, Diagnostic Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Histo Pathology, Diagnostic Center, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102403120","display_name":"Xiao Mu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Mu","raw_affiliation_strings":["Histo Pathology, Diagnostic Center, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Histo Pathology, Diagnostic Center, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101677057"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":1.2184,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8395135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"26","issue":null,"first_page":"121","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9994999766349792,"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":0.9988999962806702,"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/overfitting","display_name":"Overfitting","score":0.8747696876525879},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6859800815582275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6161313652992249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5932413339614868},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5926797389984131},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5791423916816711},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.5588271617889404},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.4867746829986572},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4864342212677002},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4863189160823822},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4645960330963135},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45771804451942444},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4487919211387634},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.4448421895503998},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4042113721370697},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.361835241317749},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25949543714523315},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23079612851142883},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1803187131881714},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14740300178527832}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8747696876525879},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6859800815582275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6161313652992249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932413339614868},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5926797389984131},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5791423916816711},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.5588271617889404},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.4867746829986572},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4864342212677002},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4863189160823822},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4645960330963135},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45771804451942444},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4487919211387634},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.4448421895503998},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4042113721370697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.361835241317749},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25949543714523315},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23079612851142883},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1803187131881714},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14740300178527832},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3390557.3394299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3390557.3394299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 the 4th International Conference on Innovation in Artificial Intelligence","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":10,"referenced_works":["https://openalex.org/W1003853626","https://openalex.org/W1901129140","https://openalex.org/W1980794586","https://openalex.org/W2072604406","https://openalex.org/W2149251234","https://openalex.org/W2280351290","https://openalex.org/W2784410567","https://openalex.org/W2919805891","https://openalex.org/W2962716568","https://openalex.org/W2981994674"],"related_works":["https://openalex.org/W4220972140","https://openalex.org/W3161120485","https://openalex.org/W3109610583","https://openalex.org/W2387045723","https://openalex.org/W2375518579","https://openalex.org/W117517268","https://openalex.org/W2944373987","https://openalex.org/W2112684860","https://openalex.org/W2391701611","https://openalex.org/W2109380943"],"abstract_inverted_index":{"Biomedical":[0],"image":[1],"analysis":[2],"by":[3,75],"machine":[4],"learning":[5],"enables":[6],"accurate":[7],"cell":[8,61],"counting":[9,62],"and":[10,18,31,36,63,73,103,116,137,147],"localization,":[11],"which":[12,143],"are":[13],"essential":[14],"to":[15,48,78],"clinic":[16],"diagnosis":[17],"research.":[19],"However,":[20],"high-density":[21],"population":[22],"of":[23,38,44,83,106,113,120,149],"the":[24,34,42,50,80,84,90,96,100,107,111,114,118,145,150],"cells":[25,39],"poses":[26],"great":[27],"challenges.":[28],"The":[29,65],"variability":[30],"intricacy":[32],"in":[33],"shapes":[35],"colours":[37],"further":[40],"jeopardize":[41],"performance":[43],"existing":[45],"models.":[46],"Aiming":[47],"overcome":[49],"difficulties,":[51],"we":[52],"propose":[53],"an":[54],"end-to-end":[55],"manifold-regularized":[56],"regression":[57,72],"network":[58,115],"(MRRN)":[59],"for":[60,71],"localization.":[64],"backbone":[66],"is":[67],"a":[68,132,138],"U-Net":[69,97],"tweaked":[70],"trained":[74],"density":[76],"maps":[77],"preserve":[79],"spatial":[81],"distribution":[82],"cells.":[85],"Based":[86],"on":[87,95,131],"graph":[88],"Laplacian,":[89],"patch-wise":[91],"manifold":[92],"regularizer":[93],"imposed":[94],"can":[98],"represent":[99],"intrinsically":[101],"nonlinear":[102],"complex":[104],"features":[105],"images,":[108],"thus":[109],"increasing":[110],"generalizability":[112],"lowering":[117],"risk":[119],"overfitting.":[121],"Experimental":[122],"results":[123],"show":[124],"that":[125],"MRRN":[126],"outperforms":[127],"several":[128],"state-of-the-art":[129],"algorithms":[130],"widely-adopted":[133],"synthetic":[134],"data":[135,141],"set":[136],"real-world":[139],"carcinoma":[140],"set,":[142],"verifies":[144],"efficacy":[146],"applicability":[148],"proposed":[151],"model.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-07T08:38:57.713557","created_date":"2025-10-10T00:00:00"}
