{"id":"https://openalex.org/W2751669091","doi":"https://doi.org/10.1109/tmi.2018.2832656","title":"CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction","display_name":"CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction","publication_year":2018,"publication_date":"2018-05-03","ids":{"openalex":"https://openalex.org/W2751669091","doi":"https://doi.org/10.1109/tmi.2018.2832656","mag":"2751669091","pmid":"https://pubmed.ncbi.nlm.nih.gov/29870372"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2018.2832656","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2832656","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/8370207/08353870.pdf","source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/42/8370207/08353870.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Harshit Gupta","orcid":"https://orcid.org/0000-0002-2910-9072"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Harshit Gupta","raw_affiliation_strings":["Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-2910-9072","affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kyong Hwan Jin","orcid":"https://orcid.org/0000-0001-7885-4792"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Kyong Hwan Jin","raw_affiliation_strings":["Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-7885-4792","affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ha Q. Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ha Q. Nguyen","raw_affiliation_strings":["Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michael T. McCann","orcid":"https://orcid.org/0000-0001-7645-252X"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael T. McCann","raw_affiliation_strings":["Center for Biomedical Imaging, Signal Processing Core and the Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-7645-252X","affiliations":[{"raw_affiliation_string":"Center for Biomedical Imaging, Signal Processing Core and the Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":null,"display_name":"Michael Unser","orcid":"https://orcid.org/0000-0003-1248-2513"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Michael Unser","raw_affiliation_strings":["Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-1248-2513","affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":28.4131,"has_fulltext":true,"cited_by_count":365,"citation_normalized_percentile":{"value":0.99796969,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"37","issue":"6","first_page":"1440","last_page":"1453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.49129998683929443,"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":0.49129998683929443,"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":0.33570000529289246,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.021700000390410423,"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.8026999831199646},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.701200008392334},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6177999973297119},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5210000276565552},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.49230000376701355},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.49070000648498535},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.483599990606308},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.44600000977516174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3871999979019165}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.8026999831199646},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.701200008392334},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6177999973297119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.555400013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5239999890327454},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5210000276565552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5092999935150146},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.49230000376701355},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.49070000648498535},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.44600000977516174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3790999948978424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36239999532699585},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.34360000491142273},{"id":"https://openalex.org/C2776865275","wikidata":"https://www.wikidata.org/wiki/Q311666","display_name":"Projector","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.33410000801086426},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C2776637919","wikidata":"https://www.wikidata.org/wiki/Q624380","display_name":"Descent (aeronautics)","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C116149140","wikidata":"https://www.wikidata.org/wiki/Q2070951","display_name":"Descent direction","level":4,"score":0.305400013923645},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.262800008058548},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.2583000063896179}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1109/tmi.2018.2832656","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2832656","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/8370207/08353870.pdf","source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:29870372","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29870372","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on medical imaging","raw_type":null},{"id":"pmh:oai:dora:psi_88024","is_oa":true,"landing_page_url":"https://www.dora.lib4ri.ch/psi/item/psi:88024","pdf_url":"https://www.dora.lib4ri.ch/psi/dload/psi:88024/PDF/view","source":{"id":"https://openalex.org/S4306402574","display_name":"DORA PSI (Paul Scherrer Institute)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802229908","host_organization_name":"Paul Scherrer Institute","host_organization_lineage":["https://openalex.org/I2802229908"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:arXiv.org:1709.01809","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1709.01809","pdf_url":"https://arxiv.org/pdf/1709.01809","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:infoscience.epfl.ch:258515","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/258515","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"}],"best_oa_location":{"id":"doi:10.1109/tmi.2018.2832656","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tmi.2018.2832656","pdf_url":"https://ieeexplore.ieee.org/ielx7/42/8370207/08353870.pdf","source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G166610987","display_name":null,"funder_award_id":"665667","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G3788812306","display_name":null,"funder_award_id":"H2020-ERC","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4937468798","display_name":null,"funder_award_id":"H2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7541377926","display_name":"Global integrative framework for Computational Bio-Imaging","funder_award_id":"692726","funder_id":"https://openalex.org/F4320338335","funder_display_name":"H2020 European Research Council"},{"id":"https://openalex.org/G8390338824","display_name":null,"funder_award_id":"692726","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G852170866","display_name":"Experienced Researchers Incoming Fellowship Programme at the Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne","funder_award_id":"665667","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320306143","display_name":"Mayo Clinic","ror":"https://ror.org/02qp3tb03"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320309691","display_name":"American Association of Physicists in Medicine","ror":"https://ror.org/015jknj09"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320322463","display_name":"Paul Scherrer Institut","ror":"https://ror.org/03eh3y714"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"},{"id":"https://openalex.org/F4320338335","display_name":"H2020 European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2751669091.pdf","grobid_xml":"https://content.openalex.org/works/W2751669091.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1971882318","https://openalex.org/W1980003430","https://openalex.org/W2005836623","https://openalex.org/W2006262045","https://openalex.org/W2037521346","https://openalex.org/W2039466093","https://openalex.org/W2054393756","https://openalex.org/W2071847032","https://openalex.org/W2087416986","https://openalex.org/W2094366314","https://openalex.org/W2098092211","https://openalex.org/W2100556411","https://openalex.org/W2101675075","https://openalex.org/W2103955025","https://openalex.org/W2105910985","https://openalex.org/W2109357213","https://openalex.org/W2110505738","https://openalex.org/W2115706991","https://openalex.org/W2127271355","https://openalex.org/W2142419873","https://openalex.org/W2142808775","https://openalex.org/W2153663612","https://openalex.org/W2166887721","https://openalex.org/W2194775991","https://openalex.org/W2296055064","https://openalex.org/W2442117232","https://openalex.org/W2469946482","https://openalex.org/W2542870090","https://openalex.org/W2573726823","https://openalex.org/W2574952845","https://openalex.org/W2578009003","https://openalex.org/W2584483805","https://openalex.org/W2594396454","https://openalex.org/W2604885021","https://openalex.org/W2608011385","https://openalex.org/W2762685704","https://openalex.org/W2772268761","https://openalex.org/W2950936580","https://openalex.org/W2963814976","https://openalex.org/W4229650096","https://openalex.org/W4292363360","https://openalex.org/W6639824700","https://openalex.org/W6676727762","https://openalex.org/W6677645113","https://openalex.org/W6729455701"],"related_works":[],"abstract_inverted_index":{"We":[0,65,93],"present":[1],"a":[2,12,18,51,67,79,108,112,119,129,147],"new":[3],"image":[4,43,59],"reconstruction":[5,44,91,136,152],"method":[6],"that":[7,56,95],"replaces":[8],"the":[9,57,63,83,87,124],"projector":[10],"in":[11,37],"projected":[13],"gradient":[14,73],"descent":[15,74],"(PGD)":[16],"with":[17,62],"convolutional":[19],"neural":[20],"network":[21],"(CNN).":[22],"Recently,":[23],"CNNs":[24],"trained":[25],"as":[26],"image-to-image":[27],"regressors":[28],"have":[29],"been":[30],"successfully":[31],"used":[32],"to":[33,54,86,100,107,122,126],"solve":[34],"inverse":[35,114],"problems":[36],"imaging.":[38],"However,":[39],"unlike":[40],"existing":[41],"iterative":[42],"algorithms,":[45],"these":[46],"CNN-based":[47],"approaches":[48],"usually":[49],"lack":[50],"feedback":[52],"mechanism":[53],"enforce":[55],"reconstructed":[58],"is":[60,98],"consistent":[61],"measurements.":[64],"propose":[66,118],"relaxed":[68],"version":[69],"of":[70,89,111],"PGD":[71],"wherein":[72],"enforces":[75],"measurement":[76],"consistency,":[77],"while":[78],"CNN":[80,125],"recursively":[81],"projects":[82],"solution":[84],"closer":[85],"space":[88],"desired":[90],"images.":[92],"show":[94,137],"this":[96],"algorithm":[97],"guaranteed":[99],"converge":[101],"and,":[102],"under":[103],"certain":[104],"conditions,":[105],"converges":[106],"local":[109],"minimum":[110],"non-convex":[113],"problem.":[115],"Finally,":[116],"we":[117],"simple":[120],"scheme":[121],"train":[123],"act":[127],"like":[128],"projector.":[130],"Our":[131],"experiments":[132],"on":[133],"sparse-view":[134],"computed-tomography":[135],"an":[138],"improvement":[139],"over":[140],"total":[141],"variation-based":[142],"regularization,":[143],"dictionary":[144],"learning,":[145],"and":[146],"state-of-the-art":[148],"deep":[149],"learning-based":[150],"direct":[151],"technique.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":50},{"year":2022,"cited_by_count":59},{"year":2021,"cited_by_count":97},{"year":2020,"cited_by_count":41},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":9}],"updated_date":"2026-07-20T07:56:41.581041","created_date":"2017-09-15T00:00:00"}