{"id":"https://openalex.org/W3172299494","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443547","title":"Momentum-Net for Low-Dose CT Image Reconstruction","display_name":"Momentum-Net for Low-Dose CT Image Reconstruction","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3172299494","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443547","mag":"3172299494"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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/A5101900575","display_name":"Siqi Ye","orcid":"https://orcid.org/0000-0002-2295-3123"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Ye","raw_affiliation_strings":["University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University,Shanghai,China","University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085257241","display_name":"Yong Long","orcid":"https://orcid.org/0000-0002-2055-0662"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Long","raw_affiliation_strings":["University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University,Shanghai,China","University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University,Shanghai,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"University of Michigan - Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020501362","display_name":"Il Yong Chun","orcid":"https://orcid.org/0000-0002-4226-3760"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Il Yong Chun","raw_affiliation_strings":["University of Hawai&#x2019;i at Manoa,Department of Electrical Engineering,HI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hawai&#x2019;i at Manoa,Department of Electrical Engineering,HI,USA","institution_ids":["https://openalex.org/I117965899"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9398,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79323015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1405","last_page":"1409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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":1.0,"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":0.9995999932289124,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.72547447681427},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.604605495929718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5503739714622498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.53913414478302},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5196022391319275},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5109226107597351},{"id":"https://openalex.org/keywords/momentum","display_name":"Momentum (technical analysis)","score":0.45308178663253784},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4389209449291229},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4226926565170288},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40407794713974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3767523169517517}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.72547447681427},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.604605495929718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5503739714622498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.53913414478302},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5196022391319275},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5109226107597351},{"id":"https://openalex.org/C60718061","wikidata":"https://www.wikidata.org/wiki/Q1414747","display_name":"Momentum (technical analysis)","level":2,"score":0.45308178663253784},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4389209449291229},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4226926565170288},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40407794713974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3767523169517517},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2030161963","https://openalex.org/W2094366314","https://openalex.org/W2098092211","https://openalex.org/W2104455572","https://openalex.org/W2118916039","https://openalex.org/W2152142562","https://openalex.org/W2157812230","https://openalex.org/W2469946482","https://openalex.org/W2552453838","https://openalex.org/W2552808051","https://openalex.org/W2574952845","https://openalex.org/W2584483805","https://openalex.org/W2603901191","https://openalex.org/W2732096896","https://openalex.org/W2766669015","https://openalex.org/W2795777276","https://openalex.org/W2922019075","https://openalex.org/W2945291039","https://openalex.org/W2949440985","https://openalex.org/W2963814976","https://openalex.org/W2964121744","https://openalex.org/W2964188306","https://openalex.org/W2971503239","https://openalex.org/W2979294594","https://openalex.org/W3004829055","https://openalex.org/W3046819731","https://openalex.org/W3101684528","https://openalex.org/W3103528285","https://openalex.org/W3103702404","https://openalex.org/W3125355101","https://openalex.org/W6631190155","https://openalex.org/W6729455701","https://openalex.org/W6746064845","https://openalex.org/W6762438721","https://openalex.org/W6766104827","https://openalex.org/W6773666656","https://openalex.org/W6785766552"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"This":[0],"paper":[1],"applies":[2,99],"the":[3,26,29,35,42,56,68,94,107,120],"recent":[4],"fast":[5],"iterative":[6],"neural":[7,50,85],"network":[8,51,86],"framework,":[9],"Momentum-Net,":[10,28],"using":[11],"appropriate":[12],"models":[13],"to":[14,78,100,105],"low-dose":[15],"X-ray":[16],"computed":[17],"tomography":[18],"(LDCT)":[19],"image":[20,31,43,74,82,101,121],"reconstruction.":[21],"At":[22],"each":[23],"layer":[24],"of":[25,124],"proposed":[27,69],"model-based":[30],"reconstruction":[32,75,122],"module":[33,45],"solves":[34],"majorized":[36],"penalized":[37],"weighted":[38],"least-square":[39],"problem,":[40],"and":[41],"refining":[44,102],"uses":[46],"a":[47,79],"four-layer":[48],"convolutional":[49],"(CNN).":[52],"Experimental":[53],"results":[54,113],"with":[55],"NIH":[57],"AAPM-Mayo":[58],"Clinic":[59],"Low":[60],"Dose":[61],"CT":[62],"Grand":[63],"Challenge":[64],"dataset":[65],"show":[66,114],"that":[67,98,115],"Momentum-Net":[70],"architecture":[71],"significantly":[72],"improves":[73],"accuracy,":[76],"compared":[77],"state-of-the-art":[80],"noniterative":[81],"denoising":[83],"deep":[84],"(NN),":[87],"WavResNet":[88],"(in":[89],"LDCT).":[90],"We":[91],"also":[92],"investigated":[93],"spectral":[95],"normalization":[96],"technique":[97],"NN":[103,109],"learning":[104],"satisfy":[106],"nonexpansive":[108],"property;":[110],"however,":[111],"experimental":[112],"this":[116],"does":[117],"not":[118],"improve":[119],"performance":[123],"Momentum-Net.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
