{"id":"https://openalex.org/W4224985582","doi":"https://doi.org/10.1109/isbi52829.2022.9761513","title":"Low-Dose CT Denoising via Neural Architecture Search","display_name":"Low-Dose CT Denoising via Neural Architecture Search","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4224985582","doi":"https://doi.org/10.1109/isbi52829.2022.9761513"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761513","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th 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/A5048826290","display_name":"Zexin Lu","orcid":"https://orcid.org/0000-0001-5307-145X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zexin Lu","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,China,610065"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045882773","display_name":"Wenjun Xia","orcid":"https://orcid.org/0000-0002-0428-1490"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Xia","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,China,610065"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112118959","display_name":"Yongqiang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqiang Huang","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,China,610065"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013952458","display_name":"Mingzheng Hou","orcid":"https://orcid.org/0000-0002-7520-4783"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzheng Hou","raw_affiliation_strings":["Sichuan University,National Key Laboratory of Fundamental Science on Synthetic Vision,Chengdu,China,610065","College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,National Key Laboratory of Fundamental Science on Synthetic Vision,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357677","display_name":"Hu Chen","orcid":"https://orcid.org/0000-0001-9300-6572"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Chen","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,China,610065"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049086157","display_name":"Hongming Shan","orcid":"https://orcid.org/0000-0002-0604-3197"},"institutions":[{"id":"https://openalex.org/I4210164150","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":"https://ror.org/0551a0y31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210164150"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210085920","display_name":"Shanghai Institute for Science of Science","ror":"https://ror.org/004srxn73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210085920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongming Shan","raw_affiliation_strings":["Fudan University,Institute of Science and Technology for Brain-inspired Intelligence,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,Institute of Science and Technology for Brain-inspired Intelligence,Shanghai,China,200433","institution_ids":["https://openalex.org/I4210164150","https://openalex.org/I4210085920","https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388053","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-7201-2092"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["Sichuan University,School of Cyber Science and Engineering,Chengdu,China,610065","College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,School of Cyber Science and Engineering,Chengdu,China,610065","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048826290"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.2234,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38212842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10522","display_name":"Medical Imaging 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/T10522","display_name":"Medical Imaging 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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9980000257492065,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7725194692611694},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6951792240142822},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6537901163101196},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6449611186981201},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6326922178268433},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5924349427223206},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5509282350540161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5051460862159729},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.47886011004447937},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46951764822006226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41889792680740356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3644863963127136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32444629073143005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32030948996543884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7725194692611694},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6951792240142822},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6537901163101196},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6449611186981201},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6326922178268433},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5924349427223206},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5509282350540161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5051460862159729},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47886011004447937},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46951764822006226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41889792680740356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3644863963127136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32444629073143005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32030948996543884},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761513","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2056370875","https://openalex.org/W2063061288","https://openalex.org/W2508457857","https://openalex.org/W2584483805","https://openalex.org/W2743780012","https://openalex.org/W2793419304","https://openalex.org/W2921457112","https://openalex.org/W2927980542","https://openalex.org/W2951104886","https://openalex.org/W2963136578","https://openalex.org/W2972830778","https://openalex.org/W2995138985","https://openalex.org/W3016171539","https://openalex.org/W3035071066","https://openalex.org/W3092618738","https://openalex.org/W3098281398","https://openalex.org/W3103645830","https://openalex.org/W3112965401","https://openalex.org/W3172797549","https://openalex.org/W6752515464","https://openalex.org/W6767994309"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"Lowering":[0],"the":[1,11,18,22,32,51,81,89,109,164,171,185],"radiation":[2],"dose":[3],"in":[4,45,104],"computed":[5],"tomography":[6],"(CT)":[7],"can":[8,148,161,188,202],"greatly":[9],"reduce":[10,163],"potential":[12],"risk":[13],"to":[14,112,115,140],"public":[15],"health.":[16],"However,":[17],"reconstructed":[19],"images":[20],"from":[21,28,48],"low-dose":[23],"CT":[24],"(LDCT)":[25],"usually":[26],"suffer":[27],"severe":[29],"noise,":[30],"compromising":[31],"subsequent":[33],"diagnosis":[34],"and":[35,68,117,121,169,192],"analysis.":[36],"Recently,":[37],"convolutional":[38],"neural":[39,73],"networks":[40,64],"have":[41,193],"achieved":[42],"promising":[43],"results":[44,177],"removing":[46],"noise":[47],"LDCT":[49,99,116,126],"images;":[50],"network":[52,74,82,96],"architectures":[53,97],"used":[54],"are":[55],"either":[56],"handcrafted":[57],"or":[58],"built":[59],"on":[60,72,88,178],"top":[61],"of":[62,166,173],"conventional":[63],"such":[65],"as":[66],"ResNet":[67],"U-Net.":[69],"Recent":[70],"advance":[71],"architecture":[75,83],"search":[76,149],"(NAS)":[77],"has":[78,84],"proved":[79],"that":[80,94,184],"a":[85,119,150],"dramatic":[86],"effect":[87],"model":[90,167],"performance,":[91],"which":[92],"suggests":[93],"current":[95],"for":[98,125,155],"may":[100],"be":[101,203],"sub-optimal.":[102],"Therefore,":[103],"this":[105],"paper,":[106],"we":[107],"make":[108],"first":[110],"attempt":[111],"apply":[113],"NAS":[114,124],"propose":[118],"multi-scale":[120,142],"multi-level":[122],"memory-efficient":[123],"denoising,":[127],"termed":[128],"M3NAS.":[129],"The":[130],"proposed":[131,186],"M3NAS":[132,147,160,187,205],"fuses":[133],"features":[134],"extracted":[135],"by":[136],"different":[137,180],"scale":[138],"cells":[139],"capture":[141],"image":[143],"structural":[144],"details.":[145],"Also,":[146],"hybrid":[151],"cell-and":[152],"network-level":[153],"structure":[154],"better":[156,190],"performance.":[157],"In":[158],"addition,":[159],"effectively":[162],"amount":[165],"parameters":[168,195],"increase":[170],"speed":[172],"inference.":[174],"Extensively":[175],"experimental":[176],"two":[179],"benchmark":[181],"datasets":[182],"demonstrate":[183],"achieve":[189],"performance":[191],"fewer":[194],"than":[196],"several":[197],"state-of-the-art":[198],"models.":[199],"Our":[200],"code":[201],"found:":[204]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}