{"id":"https://openalex.org/W4367280658","doi":"https://doi.org/10.1109/access.2023.3270900","title":"PNCS: Pixel-Level Non-Local Method Based Compressed Sensing Undersampled MRI Image Reconstruction","display_name":"PNCS: Pixel-Level Non-Local Method Based Compressed Sensing Undersampled MRI Image Reconstruction","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4367280658","doi":"https://doi.org/10.1109/access.2023.3270900"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3270900","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3270900","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10109723.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10109723.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085524242","display_name":"Hao Hou","orcid":"https://orcid.org/0000-0002-7925-5756"},"institutions":[{"id":"https://openalex.org/I134738993","display_name":"Shandong University of Traditional Chinese Medicine","ror":"https://ror.org/0523y5c19","country_code":"CN","type":"education","lineage":["https://openalex.org/I134738993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Hou","raw_affiliation_strings":["College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, China","Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-7925-5756","affiliations":[{"raw_affiliation_string":"College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, China","institution_ids":["https://openalex.org/I134738993"]},{"raw_affiliation_string":"Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, China","institution_ids":["https://openalex.org/I134738993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076014745","display_name":"Yuchen Shao","orcid":"https://orcid.org/0000-0001-7969-0734"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Shao","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101999838","display_name":"Yang Geng","orcid":"https://orcid.org/0000-0001-5906-0137"},"institutions":[{"id":"https://openalex.org/I134738993","display_name":"Shandong University of Traditional Chinese Medicine","ror":"https://ror.org/0523y5c19","country_code":"CN","type":"education","lineage":["https://openalex.org/I134738993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Geng","raw_affiliation_strings":["Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, China","institution_ids":["https://openalex.org/I134738993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080836472","display_name":"Yingkun Hou","orcid":"https://orcid.org/0000-0003-2153-9040"},"institutions":[{"id":"https://openalex.org/I4210118050","display_name":"Taishan University","ror":"https://ror.org/02bpnkx55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118050"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingkun Hou","raw_affiliation_strings":["School of Information Science and Technology, Taishan University, Tai&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-2153-9040","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Taishan University, Tai&#x2019;an, China","institution_ids":["https://openalex.org/I4210118050"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101669806","display_name":"Peng Ding","orcid":"https://orcid.org/0009-0006-4426-7833"},"institutions":[{"id":"https://openalex.org/I134738993","display_name":"Shandong University of Traditional Chinese Medicine","ror":"https://ror.org/0523y5c19","country_code":"CN","type":"education","lineage":["https://openalex.org/I134738993"]},{"id":"https://openalex.org/I4210159257","display_name":"Affiliated Hospital of Shandong University of Traditional Chinese Medicine","ror":"https://ror.org/052q26725","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210159257"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ding","raw_affiliation_strings":["College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, China","Information Center, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, China","institution_ids":["https://openalex.org/I134738993"]},{"raw_affiliation_string":"Information Center, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China","institution_ids":["https://openalex.org/I134738993","https://openalex.org/I4210159257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051864449","display_name":"Benzheng Wei","orcid":"https://orcid.org/0000-0001-9640-4947"},"institutions":[{"id":"https://openalex.org/I134738993","display_name":"Shandong University of Traditional Chinese Medicine","ror":"https://ror.org/0523y5c19","country_code":"CN","type":"education","lineage":["https://openalex.org/I134738993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Benzheng Wei","raw_affiliation_strings":["Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-9640-4947","affiliations":[{"raw_affiliation_string":"Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, China","institution_ids":["https://openalex.org/I134738993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0789,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.86926438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"42389","last_page":"42402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.8718619346618652},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7868489027023315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7202180027961731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6792229413986206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6728745698928833},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6135380268096924},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5746631026268005},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4824869930744171},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47269535064697266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4538995623588562},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3431534171104431}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.8718619346618652},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7868489027023315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7202180027961731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6792229413986206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6728745698928833},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6135380268096924},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5746631026268005},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4824869930744171},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47269535064697266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4538995623588562},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3431534171104431}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3270900","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3270900","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10109723.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b426205598ab46af9bd9ae5c5646b6dd","is_oa":true,"landing_page_url":"https://doaj.org/article/b426205598ab46af9bd9ae5c5646b6dd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 42389-42402 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3270900","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3270900","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10109723.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2282700838","display_name":null,"funder_award_id":"ZR2020QF043","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G4093825465","display_name":"\u9762\u5411\u591a\u6e90\u6570\u636e\u53d1\u5e03\u7684\u793e\u4f1a\u6570\u636e\u5b89\u5168\u5171\u4eab\u673a\u5236\u7814\u7a76","funder_award_id":"62071320","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5011498858","display_name":null,"funder_award_id":"ZR2019ZD04","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G542413730","display_name":null,"funder_award_id":"ZR2020MF038","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5585983100","display_name":"\u591a\u6a21\u6001\u8111\u5f71\u50cf\u6df1\u5ea6\u8868\u793a\u7684\u51b0\u6bd2\u6210\u763e\u5ea6\u667a\u80fd\u91cf\u5316\u7814\u7a76","funder_award_id":"61872225","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5976735303","display_name":null,"funder_award_id":"ZR2019ZD04","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6066506773","display_name":null,"funder_award_id":"61872225","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7080924630","display_name":null,"funder_award_id":"ZR2020KF013","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7387936317","display_name":null,"funder_award_id":"ZR2020ZD44","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7851937894","display_name":null,"funder_award_id":"62071320","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8735861359","display_name":null,"funder_award_id":"2019-173","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320308724","display_name":"Texas Space Grant Consortium","ror":"https://ror.org/05k1jx057"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367280658.pdf","grobid_xml":"https://content.openalex.org/works/W4367280658.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1983793191","https://openalex.org/W1996287810","https://openalex.org/W2020906966","https://openalex.org/W2025076375","https://openalex.org/W2049926404","https://openalex.org/W2051187242","https://openalex.org/W2056370875","https://openalex.org/W2070678378","https://openalex.org/W2082084229","https://openalex.org/W2093621384","https://openalex.org/W2097073572","https://openalex.org/W2101675075","https://openalex.org/W2111388536","https://openalex.org/W2113030459","https://openalex.org/W2117188745","https://openalex.org/W2117882039","https://openalex.org/W2123844051","https://openalex.org/W2133665775","https://openalex.org/W2141168890","https://openalex.org/W2145020729","https://openalex.org/W2148232185","https://openalex.org/W2163973643","https://openalex.org/W2168668658","https://openalex.org/W2191349405","https://openalex.org/W2331176748","https://openalex.org/W2552808051","https://openalex.org/W2778924750","https://openalex.org/W2807265489","https://openalex.org/W2891437428","https://openalex.org/W2900756484","https://openalex.org/W2950650271","https://openalex.org/W2963793388","https://openalex.org/W2964293140","https://openalex.org/W2966304337","https://openalex.org/W2995273252","https://openalex.org/W2998435122","https://openalex.org/W3001319253","https://openalex.org/W3011787089","https://openalex.org/W3039419472","https://openalex.org/W3100866725","https://openalex.org/W4210305140","https://openalex.org/W4233764193","https://openalex.org/W4251101141","https://openalex.org/W4296057829","https://openalex.org/W6639824700","https://openalex.org/W6702191377","https://openalex.org/W6755625687","https://openalex.org/W6767053242"],"related_works":["https://openalex.org/W3011226087","https://openalex.org/W2212041357","https://openalex.org/W3214931932","https://openalex.org/W1959447026","https://openalex.org/W2895530314","https://openalex.org/W2052082011","https://openalex.org/W2903019797","https://openalex.org/W2218273114","https://openalex.org/W2061033783","https://openalex.org/W1994141795"],"abstract_inverted_index":{"Compressed":[0],"sensing":[1,83,192],"magnetic":[2],"resonance":[3],"imaging":[4],"(CS-MRI)":[5],"has":[6],"made":[7],"great":[8],"progress":[9],"in":[10,49,61,128,176,205,227],"speeding":[11],"up":[12],"MRI":[13,64,85,116,180],"imaging.":[14],"The":[15,149,182,208,243,270],"existing":[16,254,263],"non-local":[17,35,79,145,185],"self-similarity":[18,46,146],"(NSS)":[19,147],"prior":[20],"based":[21,81,189,268],"CS-MRI":[22,256],"models":[23],"mainly":[24],"take":[25],"similar":[26,132,156],"image":[27,65,86,127],"patches":[28],"as":[29,136],"the":[30,45,50,57,62,97,125,144,160,164,173,177,196,203,206,221,224,253,262],"processing":[31],"objects,":[32],"this":[33,75,246],"patch-level":[34],"sparse":[36,141],"representation":[37,142],"method":[38,80,88,226,247],"can":[39,54,170,194],"not":[40,55,249],"make":[41],"full":[42],"use":[43],"of":[44,163,198,223,245],"among":[47],"pixels":[48],"image,":[51],"so":[52,135],"it":[53],"recover":[56],"weak":[58],"edge":[59],"information":[60],"undersampled":[63,84,98,178],"well":[66],"and":[67,107,119,159,167,200,210,217,231,239],"there":[68],"will":[69,272],"still":[70],"be":[71,273],"some":[72],"artifacts.":[73],"In":[74],"paper,":[76],"a":[77,103,113,139],"pixel-level":[78,184],"compressed":[82,191],"reconstruction":[87],"is":[89,94,109,153,248],"introduced.":[90],"First,":[91],"zero":[92],"filling":[93],"performed":[95,110,123,154],"on":[96,124,155,190],"k-space":[99],"data":[100],"to":[101,111,130,137,236,252],"obtain":[102,112,131],"full-size":[104],"2D":[105],"signal,":[106],"IFFT":[108],"preliminary":[114],"reconstructed":[115,126,179],"image.":[117,207],"Block-matching":[118],"row-matching":[120],"are":[121],"successively":[122],"turn":[129],"pixel":[133,157],"groups,":[134,158],"establish":[138],"better":[140,201],"under":[143,213],"prior.":[148],"separable":[150],"Haar":[151],"transform":[152,165],"hard":[161],"threshold":[162],"coefficients":[166],"Wiener":[168],"filtering":[169],"effectively":[171],"remove":[172],"artifacts":[174,199],"introduced":[175],"images.":[181],"proposed":[183,225],"iterative":[186],"thinning":[187],"model":[188],"theory":[193],"ensure":[195],"removal":[197],"restore":[202],"details":[204],"qualitative":[209],"quantitative":[211],"results":[212],"different":[214],"undersampling":[215,218],"modes":[216],"rates":[219],"prove":[220],"advantages":[222],"subjective":[228],"visual":[229],"quality":[230],"objective":[232],"evaluation":[233],"(peak":[234],"signal":[235],"noise":[237],"ratio":[238],"structure":[240],"similarity":[241],"index).":[242],"performance":[244],"only":[250],"superior":[251],"traditional":[255],"methods,":[257],"but":[258],"also":[259],"competitive":[260],"with":[261],"deep":[264],"neural":[265],"network":[266],"(DNN)":[267],"models.":[269],"code":[271],"released":[274],"at":[275],"<uri":[276],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[277],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/HaoHou-98/PNCS</uri>":[278],".":[279]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}