{"id":"https://openalex.org/W2963865575","doi":"https://doi.org/10.1109/icassp.2016.7472435","title":"Learning data triage: Linear decoding works for compressive MRI","display_name":"Learning data triage: Linear decoding works for compressive MRI","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2963865575","doi":"https://doi.org/10.1109/icassp.2016.7472435","mag":"2963865575"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://infoscience.epfl.ch/handle/20.500.14299/123174","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089741364","display_name":"Yen-Huan Li","orcid":"https://orcid.org/0000-0003-2454-7249"},"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":"Yen-Huan Li","raw_affiliation_strings":["Laboratory for Information and Inference Systems, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Inference Systems, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027059837","display_name":"Volkan Cevher","orcid":"https://orcid.org/0000-0002-5004-201X"},"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":"Volkan Cevher","raw_affiliation_strings":["Laboratory for Information and Inference Systems, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Inference Systems, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3088,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66221964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"4034","last_page":"4038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9991999864578247,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9952999949455261,"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/compressed-sensing","display_name":"Compressed sensing","score":0.8627183437347412},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7351455688476562},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.7050975561141968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6879121661186218},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6359601616859436},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6025645732879639},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5176621079444885},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.5088205933570862},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4846213757991791},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4673946797847748},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.448896199464798},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3620706796646118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3469266891479492},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33842551708221436},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.22570934891700745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21314433217048645},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20443850755691528},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07171875238418579}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8627183437347412},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7351455688476562},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.7050975561141968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6879121661186218},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6359601616859436},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6025645732879639},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5176621079444885},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.5088205933570862},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4846213757991791},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4673946797847748},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.448896199464798},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3620706796646118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3469266891479492},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33842551708221436},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.22570934891700745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21314433217048645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20443850755691528},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07171875238418579},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2016.7472435","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472435","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.tind.io:215743","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/123174","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":"conference proceedings"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:215743","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/123174","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":"conference proceedings"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W228380312","https://openalex.org/W1557005360","https://openalex.org/W1576820654","https://openalex.org/W1890834058","https://openalex.org/W1920099091","https://openalex.org/W2015418199","https://openalex.org/W2071284784","https://openalex.org/W2086058123","https://openalex.org/W2097474301","https://openalex.org/W2101675075","https://openalex.org/W2125680629","https://openalex.org/W2129278264","https://openalex.org/W2142374996","https://openalex.org/W2145096794","https://openalex.org/W2149298154","https://openalex.org/W2163973643","https://openalex.org/W2167077875","https://openalex.org/W2296399167","https://openalex.org/W2611328865","https://openalex.org/W2952019053","https://openalex.org/W2964150680","https://openalex.org/W3124617746","https://openalex.org/W3125735862","https://openalex.org/W6633270985","https://openalex.org/W6674737082","https://openalex.org/W6678910745","https://openalex.org/W6681189096"],"related_works":["https://openalex.org/W2388133936","https://openalex.org/W2537887767","https://openalex.org/W2330143608","https://openalex.org/W2436826437","https://openalex.org/W3104324607","https://openalex.org/W2340242818","https://openalex.org/W1987102304","https://openalex.org/W2103001330","https://openalex.org/W3090413343","https://openalex.org/W2465351041"],"abstract_inverted_index":{"The":[0],"standard":[1],"approach":[2,30,56],"to":[3],"compressive":[4,111],"sampling":[5],"considers":[6],"recovering":[7],"an":[8,79],"unknown":[9],"deterministic":[10],"signal":[11,40,73,82],"with":[12],"certain":[13],"known":[14,27],"structure,":[15,41],"and":[16,21,42,77,98],"designing":[17],"the":[18,26,39,72,95,106,109],"sub-sampling":[19,63],"pattern":[20,64],"recovery":[22,96],"algorithm":[23],"based":[24,65],"on":[25,66,94,102],"structure.":[28],"This":[29],"requires":[31],"looking":[32],"for":[33],"a":[34,44,61,91],"good":[35,62],"representation":[36],"that":[37],"reveals":[38],"solving":[43],"non-smooth":[45],"convex":[46],"minimization":[47],"problem":[48],"(e.g.,":[49],"basis":[50],"pursuit).":[51],"In":[52],"this":[53],"paper,":[54],"another":[55],"is":[57],"considered:":[58],"We":[59,89],"learn":[60],"available":[67],"training":[68],"signals,":[69],"without":[70],"knowing":[71],"structure":[74],"in":[75],"advance,":[76],"reconstruct":[78],"accordingly":[80],"sub-sampled":[81],"by":[83],"computationally":[84],"much":[85],"cheaper":[86],"linear":[87],"reconstruction.":[88],"provide":[90],"theoretical":[92],"guarantee":[93],"error,":[97],"show":[99],"via":[100],"experiments":[101],"real-world":[103],"MRI":[104,112],"data":[105],"effectiveness":[107],"of":[108],"proposed":[110],"scheme.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
