{"id":"https://openalex.org/W3020438678","doi":"https://doi.org/10.1109/cvprw50498.2020.00269","title":"Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks","display_name":"Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3020438678","doi":"https://doi.org/10.1109/cvprw50498.2020.00269","mag":"3020438678"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw50498.2020.00269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw50498.2020.00269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.06067","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053095531","display_name":"Puneesh Deora","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Puneesh Deora","raw_affiliation_strings":["Dept. of ECE, IIT Roorkee, Uttarakhand, India","INDIAN INSTITUTE OF TECHNOLOGY ROORKEE"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, IIT Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"INDIAN INSTITUTE OF TECHNOLOGY ROORKEE","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071075838","display_name":"Bhavya Vasudeva","orcid":"https://orcid.org/0000-0003-1307-3017"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhavya Vasudeva","raw_affiliation_strings":["Dept. of ECE, IIT Roorkee, Uttarakhand, India","INDIAN INSTITUTE OF TECHNOLOGY ROORKEE"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, IIT Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"INDIAN INSTITUTE OF TECHNOLOGY ROORKEE","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079312227","display_name":"Saumik Bhattacharya","orcid":"https://orcid.org/0000-0003-1273-7969"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saumik Bhattacharya","raw_affiliation_strings":["Dept. of E&ECE, IIT Kharagpur, West Bengal, India","Indian Institute of Technology\u2013Kharagpur"],"affiliations":[{"raw_affiliation_string":"Dept. of E&ECE, IIT Kharagpur, West Bengal, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Indian Institute of Technology\u2013Kharagpur","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030605875","display_name":"Pyari Mohan Pradhan","orcid":"https://orcid.org/0000-0002-6070-5577"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pyari Mohan Pradhan","raw_affiliation_strings":["Dept. of ECE, IIT Roorkee, Uttarakhand, India","INDIAN INSTITUTE OF TECHNOLOGY ROORKEE"],"affiliations":[{"raw_affiliation_string":"Dept. of ECE, IIT Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"INDIAN INSTITUTE OF TECHNOLOGY ROORKEE","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053095531"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":0.1794,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44433081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2211","last_page":"2219"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9957000017166138,"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/discriminator","display_name":"Discriminator","score":0.8498172760009766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.760567307472229},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7402477264404297},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6895900368690491},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5813409090042114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.545537531375885},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5084266066551208},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48093053698539734},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.46366503834724426},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.46045807003974915},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4370429515838623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3912062644958496},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38350623846054077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3419088125228882},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30440443754196167},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.13426560163497925}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8498172760009766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760567307472229},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7402477264404297},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6895900368690491},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5813409090042114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.545537531375885},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5084266066551208},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48093053698539734},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.46366503834724426},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.46045807003974915},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4370429515838623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3912062644958496},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38350623846054077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3419088125228882},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30440443754196167},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.13426560163497925},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvprw50498.2020.00269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw50498.2020.00269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1910.06067","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.06067","pdf_url":"https://arxiv.org/pdf/1910.06067","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":"mag:3020438678","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1910.06067.pdf","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":"doi:10.48550/arxiv.1910.06067","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.06067","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.06067","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.06067","pdf_url":"https://arxiv.org/pdf/1910.06067","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"},"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3020438678.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1791560514","https://openalex.org/W1901129140","https://openalex.org/W1973207880","https://openalex.org/W1983793191","https://openalex.org/W2047920195","https://openalex.org/W2056777447","https://openalex.org/W2082465502","https://openalex.org/W2099471712","https://openalex.org/W2101675075","https://openalex.org/W2114504143","https://openalex.org/W2125389028","https://openalex.org/W2133665775","https://openalex.org/W2164278908","https://openalex.org/W2168668658","https://openalex.org/W2242218935","https://openalex.org/W2296616510","https://openalex.org/W2304034118","https://openalex.org/W2503339013","https://openalex.org/W2552808051","https://openalex.org/W2562637781","https://openalex.org/W2594014149","https://openalex.org/W2595294663","https://openalex.org/W2607041014","https://openalex.org/W2631883531","https://openalex.org/W2739748921","https://openalex.org/W2741137940","https://openalex.org/W2778924750","https://openalex.org/W2883105305","https://openalex.org/W2884942463","https://openalex.org/W2891158090","https://openalex.org/W2902874468","https://openalex.org/W2912724961","https://openalex.org/W2917550189","https://openalex.org/W2952773607","https://openalex.org/W2963073614","https://openalex.org/W2963372104","https://openalex.org/W2964121744","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W6631190155","https://openalex.org/W6638194035","https://openalex.org/W6639824700","https://openalex.org/W6678815747","https://openalex.org/W6724673846","https://openalex.org/W6729455701","https://openalex.org/W6735307612","https://openalex.org/W6741832134","https://openalex.org/W6753209683","https://openalex.org/W6754405603"],"related_works":["https://openalex.org/W3035300465","https://openalex.org/W3009324850","https://openalex.org/W3092724289","https://openalex.org/W2963722246","https://openalex.org/W2948218902","https://openalex.org/W2896778670","https://openalex.org/W2970928197","https://openalex.org/W3132291493","https://openalex.org/W3132917605","https://openalex.org/W2901087258","https://openalex.org/W2962895431","https://openalex.org/W2099367209","https://openalex.org/W2963532393","https://openalex.org/W3177272095","https://openalex.org/W2524642371","https://openalex.org/W2884549862","https://openalex.org/W3110133064","https://openalex.org/W3016108716","https://openalex.org/W3002879859","https://openalex.org/W2996819250"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"magnetic":[2],"resonance":[3],"imaging":[4],"(CS-MRI)":[5],"accelerates":[6],"the":[7,14,61,108,114],"acquisition":[8],"of":[9,37,81,99,101,113,116],"MR":[10],"images":[11],"by":[12],"breaking":[13],"Nyquist":[15],"sampling":[16],"limit.":[17],"In":[18],"this":[19],"work,":[20],"a":[21,35,72],"novel":[22],"generative":[23],"adversarial":[24],"network":[25,87],"(GAN)":[26],"based":[27,44,74],"framework":[28],"for":[29,122],"CS-MRI":[30],"reconstruction":[31,102,109],"is":[32,112],"proposed.":[33],"Leveraging":[34],"combination":[36],"patch-based":[38],"discriminator":[39],"and":[40,65,103],"structural":[41],"similarity":[42],"index":[43],"loss,":[45],"our":[46,92],"model":[47],"focuses":[48],"on":[49],"preserving":[50],"high":[51],"frequency":[52],"content":[53],"as":[54,56,83,85],"well":[55,84],"fine":[57],"textural":[58],"details":[59],"in":[60,71,97],"reconstructed":[62],"image.":[63],"Dense":[64],"residual":[66],"connections":[67],"have":[68],"been":[69],"incorporated":[70],"U-net":[73],"generator":[75],"architecture":[76],"to":[77,105],"allow":[78],"easier":[79],"transfer":[80],"information":[82],"variable":[86],"length.":[88],"We":[89],"show":[90],"that":[91],"algorithm":[93],"outperforms":[94],"state-of-the-art":[95],"methods":[96],"terms":[98],"quality":[100],"robustness":[104],"noise.":[106],"Also,":[107],"time,":[110],"which":[111],"order":[115],"milliseconds,":[117],"makes":[118],"it":[119],"highly":[120],"suitable":[121],"real-time":[123],"clinical":[124],"use.":[125]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
