{"id":"https://openalex.org/W2951193768","doi":"https://doi.org/10.1109/tmi.2020.3017353","title":"Learning the Sampling Pattern for MRI","display_name":"Learning the Sampling Pattern for MRI","publication_year":2020,"publication_date":"2020-08-17","ids":{"openalex":"https://openalex.org/W2951193768","doi":"https://doi.org/10.1109/tmi.2020.3017353","mag":"2951193768","pmid":"https://pubmed.ncbi.nlm.nih.gov/32804647"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2020.3017353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3017353","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://researchportal.bath.ac.uk/en/publications/0033a56c-6bdc-4748-a542-2d58a4ac2abd","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053884504","display_name":"Ferdia Sherry","orcid":"https://orcid.org/0000-0003-4809-7254"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ferdia Sherry","raw_affiliation_strings":["DAMTP, University of Cambridge, Cambridge, U.K","Univ. of Cambridge"],"raw_orcid":"https://orcid.org/0000-0003-4809-7254","affiliations":[{"raw_affiliation_string":"DAMTP, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Univ. of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008341403","display_name":"Martin Benning","orcid":"https://orcid.org/0000-0002-6203-1350"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Martin Benning","raw_affiliation_strings":["School of Mathematical Sciences, Queen Mary University of London (QMUL), London, U.K","[School of Mathematical Sciences, Queen Mary University of London (QMUL), London, U.K.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Queen Mary University of London (QMUL), London, U.K","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"[School of Mathematical Sciences, Queen Mary University of London (QMUL), London, U.K.]","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068217099","display_name":"Juan Carlos De los Reyes","orcid":"https://orcid.org/0000-0003-2761-5382"},"institutions":[{"id":"https://openalex.org/I70764802","display_name":"National Polytechnic School","ror":"https://ror.org/01gb99w41","country_code":"EC","type":"education","lineage":["https://openalex.org/I70764802"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Juan Carlos De los Reyes","raw_affiliation_strings":["Research Centre for Mathematical Modelling, Escuela Polit\u00e9cnica Nacional, Quito, Ecuador"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Centre for Mathematical Modelling, Escuela Polit\u00e9cnica Nacional, Quito, Ecuador","institution_ids":["https://openalex.org/I70764802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082573872","display_name":"Martin J. Graves","orcid":"https://orcid.org/0000-0003-4327-3052"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210090013","display_name":"Cambridge School","ror":"https://ror.org/006k1pa70","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210090013"]},{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["GB","PT","SS"],"is_corresponding":false,"raw_author_name":"Martin J. Graves","raw_affiliation_strings":["University of Cambridge, Cambridge, U.K","Department of Radiology, University of Cambridge, Cambridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"Department of Radiology, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749","https://openalex.org/I4210096386","https://openalex.org/I4210090013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081769352","display_name":"Georg Maierhofer","orcid":"https://orcid.org/0000-0002-9764-8596"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Georg Maierhofer","raw_affiliation_strings":["DAMTP, University of Cambridge, Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9764-8596","affiliations":[{"raw_affiliation_string":"DAMTP, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034431716","display_name":"Guy Williams","orcid":"https://orcid.org/0000-0001-5223-6654"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guy Williams","raw_affiliation_strings":["University of Cambridge, Cambridge, U.K","[Department of Clinical Neurosciences, University of Cambridge, Cambridge, U.K.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]},{"raw_affiliation_string":"[Department of Clinical Neurosciences, University of Cambridge, Cambridge, U.K.]","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033880300","display_name":"Carola\u2010Bibiane Sch\u00f6nlieb","orcid":"https://orcid.org/0000-0003-0099-6306"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Carola-Bibiane Schonlieb","raw_affiliation_strings":["DAMTP, University of Cambridge, Cambridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMTP, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078070589","display_name":"Matthias J. Ehrhardt","orcid":"https://orcid.org/0000-0001-8523-353X"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Matthias J. Ehrhardt","raw_affiliation_strings":["IMI, University of Bath, Bath, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8523-353X","affiliations":[{"raw_affiliation_string":"IMI, University of Bath, Bath, U.K","institution_ids":["https://openalex.org/I51601045"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9003,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67971464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"39","issue":"12","first_page":"4310","last_page":"4321"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9990000128746033,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9959999918937683,"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/sampling","display_name":"Sampling (signal processing)","score":0.662752091884613},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6188717484474182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6186733245849609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070075035095215},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5122544169425964},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.4923504590988159},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4838775396347046},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4792613983154297},{"id":"https://openalex.org/keywords/spiral","display_name":"Spiral (railway)","score":0.4724743068218231},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43658989667892456},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.41746607422828674},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.41589516401290894},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3424338698387146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2786582112312317}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.662752091884613},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6188717484474182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6186733245849609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070075035095215},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5122544169425964},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.4923504590988159},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4838775396347046},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4792613983154297},{"id":"https://openalex.org/C174128100","wikidata":"https://www.wikidata.org/wiki/Q846907","display_name":"Spiral (railway)","level":2,"score":0.4724743068218231},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43658989667892456},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.41746607422828674},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.41589516401290894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3424338698387146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2786582112312317},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[{"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":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":10,"locations":[{"id":"doi:10.1109/tmi.2020.3017353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2020.3017353","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:32804647","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32804647","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:purehost.bath.ac.uk:openaire/0033a56c-6bdc-4748-a542-2d58a4ac2abd","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/0033a56c-6bdc-4748-a542-2d58a4ac2abd","pdf_url":null,"source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Sherry, F, Benning, M, Reyes, J C D L, Graves, M J, Maierhofer, G, Williams, G, Sch\u00f6nlieb, C-B & Ehrhardt, M J 2020, 'Learning the Sampling Pattern for MRI', IEEE Transactions on Medical Imaging, vol. 39, no. 12, pp. 4310-4321. https://doi.org/10.1109/TMI.2020.3017353","raw_type":"article"},{"id":"pmh:oai:arXiv.org:1906.08754","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.08754","pdf_url":"https://arxiv.org/pdf/1906.08754","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":"","raw_type":"text"},{"id":"pmh:oai:purehost.bath.ac.uk:publications/0033a56c-6bdc-4748-a542-2d58a4ac2abd","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1906.08754","pdf_url":"https://purehost.bath.ac.uk/ws/files/211147097/accepted_version.pdf","source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sherry, F, Benning, M, Reyes, J C D L, Graves, M J, Maierhofer, G, Williams, G, Sch\u00f6nlieb, C-B & Ehrhardt, M J 2020, 'Learning the Sampling Pattern for MRI', IEEE Transactions on Medical Imaging, vol. 39, no. 12, pp. 4310-4321. https://doi.org/10.1109/TMI.2020.3017353","raw_type":"article"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/309340","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/309340","pdf_url":"https://www.repository.cam.ac.uk/handle/1810/309340","source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"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":"Article"},{"id":"mag:2951193768","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1906.08754","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/66507","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/66507","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"doi:10.48550/arxiv.1906.08754","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.08754","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17863/cam.56432","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.56432","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:purehost.bath.ac.uk:openaire/0033a56c-6bdc-4748-a542-2d58a4ac2abd","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/0033a56c-6bdc-4748-a542-2d58a4ac2abd","pdf_url":null,"source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Sherry, F, Benning, M, Reyes, J C D L, Graves, M J, Maierhofer, G, Williams, G, Sch\u00f6nlieb, C-B & Ehrhardt, M J 2020, 'Learning the Sampling Pattern for MRI', IEEE Transactions on Medical Imaging, vol. 39, no. 12, pp. 4310-4321. https://doi.org/10.1109/TMI.2020.3017353","raw_type":"article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1018969006","display_name":null,"funder_award_id":"EP/M00483X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1683571055","display_name":null,"funder_award_id":"Nr. EP/M00483X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G1755984640","display_name":null,"funder_award_id":"EP/N014588/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2763947431","display_name":"Nonlocal Methods for Arbitrary Data Sources","funder_award_id":"777826","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4215495552","display_name":null,"funder_award_id":"1804247","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4897358205","display_name":"CHallenges in Preservation of Structure","funder_award_id":"691070","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5639283639","display_name":null,"funder_award_id":"777826","funder_id":"https://openalex.org/F4320313467","funder_display_name":"Alan Turing Institute"},{"id":"https://openalex.org/G5799390005","display_name":null,"funder_award_id":"691070 CHiPS","funder_id":"https://openalex.org/F4320338337","funder_display_name":"H2020 Marie Sk\u0142odowska-Curie Actions"},{"id":"https://openalex.org/G5855033780","display_name":"Efficient computational tools for inverse imaging problems","funder_award_id":"EP/M00483X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5920941534","display_name":null,"funder_award_id":"URB 16-40","funder_id":"https://openalex.org/F4320320184","funder_display_name":"London Mathematical Society"},{"id":"https://openalex.org/G6579398875","display_name":"EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging","funder_award_id":"EP/N014588/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7393500401","display_name":null,"funder_award_id":"EP/M00483X/1","funder_id":"https://openalex.org/F4320319993","funder_display_name":"Leverhulme Trust"},{"id":"https://openalex.org/G8252974818","display_name":null,"funder_award_id":"777826 NoMADS","funder_id":"https://openalex.org/F4320338337","funder_display_name":"H2020 Marie Sk\u0142odowska-Curie Actions"}],"funders":[{"id":"https://openalex.org/F4320313467","display_name":"Alan Turing Institute","ror":"https://ror.org/035dkdb55"},{"id":"https://openalex.org/F4320319993","display_name":"Leverhulme Trust","ror":"https://ror.org/012mzw131"},{"id":"https://openalex.org/F4320320184","display_name":"London Mathematical Society","ror":"https://ror.org/01r1e1h27"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320338337","display_name":"H2020 Marie Sk\u0142odowska-Curie Actions","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1482297123","https://openalex.org/W1576590016","https://openalex.org/W1800346269","https://openalex.org/W1916477561","https://openalex.org/W1963129880","https://openalex.org/W1976203937","https://openalex.org/W1983923103","https://openalex.org/W2000359198","https://openalex.org/W2005089986","https://openalex.org/W2005126631","https://openalex.org/W2040319606","https://openalex.org/W2040967952","https://openalex.org/W2046033161","https://openalex.org/W2053780716","https://openalex.org/W2066211830","https://openalex.org/W2078725149","https://openalex.org/W2082698807","https://openalex.org/W2092663520","https://openalex.org/W2092706821","https://openalex.org/W2101675075","https://openalex.org/W2103559027","https://openalex.org/W2112479046","https://openalex.org/W2113030459","https://openalex.org/W2116523778","https://openalex.org/W2121752514","https://openalex.org/W2127079904","https://openalex.org/W2145469382","https://openalex.org/W2146097164","https://openalex.org/W2156739854","https://openalex.org/W2164452299","https://openalex.org/W2168668658","https://openalex.org/W2254341021","https://openalex.org/W2281493160","https://openalex.org/W2560447554","https://openalex.org/W2604388535","https://openalex.org/W2612406831","https://openalex.org/W2798774029","https://openalex.org/W2915235222","https://openalex.org/W2945831440","https://openalex.org/W2946092443","https://openalex.org/W2962904605","https://openalex.org/W2963439178","https://openalex.org/W2963865575","https://openalex.org/W2964340701","https://openalex.org/W2970971581","https://openalex.org/W2995396522","https://openalex.org/W3003257820","https://openalex.org/W3016096216","https://openalex.org/W3098015273","https://openalex.org/W3100220310","https://openalex.org/W3100694778","https://openalex.org/W3102723347","https://openalex.org/W3103145119","https://openalex.org/W6641072476","https://openalex.org/W6660491833","https://openalex.org/W6691399181","https://openalex.org/W6737611964","https://openalex.org/W6766978945","https://openalex.org/W6946383978"],"related_works":["https://openalex.org/W2963439178","https://openalex.org/W3203184279","https://openalex.org/W2950788731","https://openalex.org/W2899334524","https://openalex.org/W2804034251","https://openalex.org/W1923858626","https://openalex.org/W2552118156","https://openalex.org/W3027535025","https://openalex.org/W3122499440","https://openalex.org/W3122633743","https://openalex.org/W1545341333","https://openalex.org/W3040793855","https://openalex.org/W2687213666","https://openalex.org/W3100455090","https://openalex.org/W3013308410","https://openalex.org/W2949268173","https://openalex.org/W3160809778","https://openalex.org/W122293826","https://openalex.org/W3179592584","https://openalex.org/W2766720529"],"abstract_inverted_index":{"The":[0,151],"discovery":[1],"of":[2,5,47,64,84,102,107,116,119,127,134,148],"the":[3,9,45,65,75,94,98,128],"theory":[4],"compressed":[6],"sensing":[7],"brought":[8],"realisation":[10],"that":[11,53,77,90],"many":[12],"inverse":[13],"problems":[14],"can":[15,36,54],"be":[16,55],"solved":[17],"even":[18,96],"when":[19],"measurements":[20,108],"are":[21],"\"incomplete\".":[22],"This":[23],"is":[24,81,92,154],"particularly":[25],"interesting":[26],"in":[27,138],"magnetic":[28],"resonance":[29],"imaging":[30],"(MRI),":[31],"where":[32],"long":[33],"acquisition":[34,60],"times":[35],"limit":[37],"its":[38],"use.":[39],"In":[40],"this":[41,91],"work,":[42],"we":[43],"consider":[44],"problem":[46],"learning":[48,72],"a":[49,70,113,145],"sparse":[50],"sampling":[51,160],"pattern":[52],"used":[56],"to":[57,157],"optimally":[58],"balance":[59],"time":[61],"versus":[62],"quality":[63],"reconstructed":[66],"image.":[67],"We":[68,88],"use":[69],"supervised":[71],"approach,":[73],"making":[74],"assumption":[76],"our":[78],"training":[79,99,105,114],"data":[80,86,100],"representative":[82],"enough":[83,156],"new":[85],"acquisitions.":[87],"demonstrate":[89],"indeed":[93],"case,":[95],"if":[97],"consists":[101],"just":[103],"7":[104],"pairs":[106],"and":[109,169],"ground-truth":[110],"images;":[111],"with":[112,140],"set":[115,147],"brain":[117],"images":[118],"size":[120],"192":[121],"by":[122],"192,":[123],"for":[124],"instance,":[125],"one":[126],"learned":[129],"patterns":[130,164],"samples":[131],"only":[132],"35%":[133],"k-space,":[135],"however":[136],"results":[137],"reconstructions":[139],"mean":[141],"SSIM":[142],"0.914":[143],"on":[144],"test":[146],"similar":[149],"images.":[150],"proposed":[152],"framework":[153],"general":[155],"learn":[158],"arbitrary":[159],"patterns,":[161],"including":[162],"common":[163],"such":[165],"as":[166],"Cartesian,":[167],"spiral":[168],"radial":[170],"sampling.":[171]},"counts_by_year":[{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}