{"id":"https://openalex.org/W3162211645","doi":"https://doi.org/10.1088/2632-2153/abde8e","title":"Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography <sup>*</sup>","display_name":"Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography <sup>*</sup>","publication_year":2021,"publication_date":"2021-04-14","ids":{"openalex":"https://openalex.org/W3162211645","doi":"https://doi.org/10.1088/2632-2153/abde8e","mag":"3162211645"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/abde8e","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/abde8e","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abde8e/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abde8e/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077586593","display_name":"Singanallur Venkatakrishnan","orcid":"https://orcid.org/0000-0002-7637-4987"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Singanallur Venkatakrishnan","raw_affiliation_strings":["Multimodal Sensor Analytics Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America"],"affiliations":[{"raw_affiliation_string":"Multimodal Sensor Analytics Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037719051","display_name":"Amirkoushyar Ziabari","orcid":"https://orcid.org/0000-0003-4776-457X"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amirkoushyar Ziabari","raw_affiliation_strings":["Multimodal Sensor Analytics Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America"],"affiliations":[{"raw_affiliation_string":"Multimodal Sensor Analytics Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039044523","display_name":"Jacob Hinkle","orcid":"https://orcid.org/0000-0002-7751-1760"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Hinkle","raw_affiliation_strings":["Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America"],"affiliations":[{"raw_affiliation_string":"Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025377","display_name":"A. W. Needham","orcid":"https://orcid.org/0009-0002-3819-9855"},"institutions":[{"id":"https://openalex.org/I4210149382","display_name":"Johnson Space Center","ror":"https://ror.org/04xx4z452","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210124779","https://openalex.org/I4210149382"]},{"id":"https://openalex.org/I4210150894","display_name":"Jacobs (United States)","ror":"https://ror.org/05pmj3x43","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150894"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew W Needham","raw_affiliation_strings":["Jacobs/NASA Johnson Space Center, Houston, TX 77058, United States of America"],"affiliations":[{"raw_affiliation_string":"Jacobs/NASA Johnson Space Center, Houston, TX 77058, United States of America","institution_ids":["https://openalex.org/I4210149382","https://openalex.org/I4210150894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013760515","display_name":"J. M. Warren","orcid":"https://orcid.org/0000-0002-0680-4697"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey M Warren","raw_affiliation_strings":["Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America"],"affiliations":[{"raw_affiliation_string":"Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060596611","display_name":"Hassina Bilheux","orcid":"https://orcid.org/0000-0001-8574-2449"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hassina Z Bilheux","raw_affiliation_strings":["Neutron Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America"],"affiliations":[{"raw_affiliation_string":"Neutron Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077586593"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":1.3707,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79965338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":"2","first_page":"025031","last_page":"025031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11949","display_name":"Nuclear Physics and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11949","display_name":"Nuclear Physics and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9987000226974487,"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":0.9966999888420105,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7728219032287598},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6220102906227112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5974168181419373},{"id":"https://openalex.org/keywords/neutron-imaging","display_name":"Neutron imaging","score":0.5806207656860352},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5624417066574097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5574653744697571},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5329194068908691},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.4913283884525299},{"id":"https://openalex.org/keywords/neutron","display_name":"Neutron","score":0.4896703064441681},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4576931893825531},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.44915124773979187},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4365770220756531},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41738998889923096},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4126873314380646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35255980491638184},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3507651090621948},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.23566880822181702},{"id":"https://openalex.org/keywords/nuclear-physics","display_name":"Nuclear physics","score":0.10719349980354309},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1068105697631836}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7728219032287598},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6220102906227112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5974168181419373},{"id":"https://openalex.org/C142923127","wikidata":"https://www.wikidata.org/wiki/Q12202639","display_name":"Neutron imaging","level":3,"score":0.5806207656860352},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5624417066574097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5574653744697571},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5329194068908691},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.4913283884525299},{"id":"https://openalex.org/C152568617","wikidata":"https://www.wikidata.org/wiki/Q2348","display_name":"Neutron","level":2,"score":0.4896703064441681},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4576931893825531},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.44915124773979187},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4365770220756531},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41738998889923096},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4126873314380646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35255980491638184},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3507651090621948},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.23566880822181702},{"id":"https://openalex.org/C185544564","wikidata":"https://www.wikidata.org/wiki/Q81197","display_name":"Nuclear physics","level":1,"score":0.10719349980354309},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1068105697631836},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1088/2632-2153/abde8e","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/abde8e","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abde8e/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:osti.gov:1783049","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1783049","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:1814378","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1814378","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:1835353","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1835353","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.1088/2632-2153/abde8e","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/abde8e","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/abde8e/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338287","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3162211645.pdf","grobid_xml":"https://content.openalex.org/works/W3162211645.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W319611471","https://openalex.org/W1522301498","https://openalex.org/W1632156185","https://openalex.org/W1901129140","https://openalex.org/W1925354503","https://openalex.org/W1983373152","https://openalex.org/W1986262252","https://openalex.org/W1995277257","https://openalex.org/W2001101114","https://openalex.org/W2033754767","https://openalex.org/W2037521346","https://openalex.org/W2047809893","https://openalex.org/W2053155454","https://openalex.org/W2098239148","https://openalex.org/W2101675075","https://openalex.org/W2103559027","https://openalex.org/W2128689973","https://openalex.org/W2148564890","https://openalex.org/W2206218737","https://openalex.org/W2508457857","https://openalex.org/W2533020866","https://openalex.org/W2574952845","https://openalex.org/W2621305858","https://openalex.org/W2756152216","https://openalex.org/W2762685704","https://openalex.org/W2768032319","https://openalex.org/W2775194399","https://openalex.org/W2776265614","https://openalex.org/W2782327081","https://openalex.org/W2798893794","https://openalex.org/W2799494313","https://openalex.org/W2802021665","https://openalex.org/W2811174869","https://openalex.org/W2897387455","https://openalex.org/W2899172221","https://openalex.org/W2905525600","https://openalex.org/W2911290743","https://openalex.org/W2917905950","https://openalex.org/W2925706568","https://openalex.org/W2942218938","https://openalex.org/W2953594885","https://openalex.org/W2963446712","https://openalex.org/W2972557657","https://openalex.org/W2974703885","https://openalex.org/W2998779578","https://openalex.org/W3013089114","https://openalex.org/W3046488911","https://openalex.org/W3087467751","https://openalex.org/W3098900881","https://openalex.org/W3103960049","https://openalex.org/W3104258385","https://openalex.org/W3130398772","https://openalex.org/W3131251210","https://openalex.org/W4249983142","https://openalex.org/W6631190155","https://openalex.org/W6687740636","https://openalex.org/W6783698543","https://openalex.org/W6790863980"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1988158806","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W1995070803","https://openalex.org/W2144778520"],"abstract_inverted_index":{"Abstract":[0],"Neutron":[1],"computed":[2,42],"tomography":[3,43],"(NCT),":[4],"a":[5,45,53,89,96,104,124,192,196,203,263],"3D":[6],"non-destructive":[7],"characterization":[8],"technique,":[9],"is":[10,127,183],"carried":[11],"out":[12],"at":[13,52,123],"nuclear":[14],"reactor":[15],"or":[16,283],"spallation":[17],"neutron":[18,39],"source-based":[19],"user":[20,55,125],"facilities.":[21],"Because":[22],"neutrons":[23],"are":[24,32],"not":[25],"severely":[26,128],"attenuated":[27],"by":[28],"heavy":[29],"elements":[30,36],"and":[31,41,84,115,171,223],"sensitive":[33],"to":[34,48,59,77,87,165,194,202,266],"light":[35],"like":[37],"hydrogen,":[38],"radiography":[40],"offer":[44,240],"complementary":[46],"contrast":[47],"x-ray":[49,61],"CT":[50,147,252],"conducted":[51,122],"synchrotron":[54,60],"facility.":[56],"However,":[57],"compared":[58],"CT,":[62],"the":[63,85,107,113,143,186,210,224,228,237,259],"acquisition":[64],"time":[65],"for":[66,95,111,221,231,279],"an":[67],"NCT":[68,175,269,277,287],"scan":[69,109],"can":[70,120,150,261],"be":[71,121,262],"orders":[72],"of":[73,92,106,117,145,190,212],"magnitude":[74],"higher":[75,204],"due":[76],"lower":[78],"source":[79],"flux,":[80],"low":[81,172],"detector":[82],"efficiency":[83],"need":[86],"collect":[88],"large":[90],"number":[91,114],"projection":[93],"images":[94,230],"high-quality":[97,167,268],"reconstruction":[98,198,253],"when":[99],"using":[100,219,227],"conventional":[101,251],"algorithms.":[102,254],"As":[103],"result":[105],"long":[108],"times":[110],"NCT,":[112],"type":[116],"experiments":[118],"that":[119,149,235,258],"facility":[126],"restricted.":[129],"Recently,":[130],"several":[131],"deep":[132],"convolutional":[133],"neural":[134],"network":[135],"(DCNN)":[136],"based":[137,184,217],"algorithms":[138,164],"have":[139],"been":[140],"introduced":[141],"in":[142,242],"context":[144],"accelerating":[146],"scans":[148,278],"enable":[151],"high":[152],"quality":[153,205],"reconstructions":[154,168,270],"from":[155,169,199,271],"sparse-view":[156,170,200,272],"data.":[157],"In":[158],"this":[159],"paper,":[160],"we":[161,208],"introduce":[162],"DCNN":[163,193,215,238,260],"obtain":[166,267],"signal-to-noise":[173],"ratio":[174],"data-sets":[176],"thereby":[177,274],"enabling":[178,275,284],"accelerated":[179,276],"scans.":[180,288],"Our":[181,255],"method":[182],"on":[185,218,226],"supervised":[187],"learning":[188],"strategy":[189],"training":[191,222],"map":[195],"low-quality":[197],"data":[201,273],"reconstruction.":[206],"Specifically,":[207],"evaluate":[209],"performance":[211,243],"two":[213],"popular":[214],"architectures\u2014one":[216],"patches":[220],"other":[225],"full":[229],"training.":[232],"We":[233],"observe":[234],"both":[236],"architectures":[239],"improvements":[241],"over":[244],"classical":[245],"multi-layer":[246],"perceptron":[247],"as":[248,250],"well":[249],"results":[256],"illustrate":[257],"powerful":[264],"tool":[265],"increasing":[280],"user-facility":[281],"throughput":[282],"high-resolution":[285],"time-resolved":[286]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2021-05-24T00:00:00"}
