{"id":"https://openalex.org/W3046635634","doi":"https://doi.org/10.1109/isbiworkshops50223.2020.9153453","title":"Dual-Encoder-Unet For Fast Mri Reconstruction","display_name":"Dual-Encoder-Unet For Fast Mri Reconstruction","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3046635634","doi":"https://doi.org/10.1109/isbiworkshops50223.2020.9153453","mag":"3046635634"},"language":"en","primary_location":{"id":"doi:10.1109/isbiworkshops50223.2020.9153453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbiworkshops50223.2020.9153453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014943591","display_name":"Amrit Kumar Jethi","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amrit Kumar Jethi","raw_affiliation_strings":["Indian Institute of Technology-Madras (IITM), India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology-Madras (IITM), India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082792887","display_name":"Balamurali Murugesan","orcid":"https://orcid.org/0000-0002-3002-5845"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Balamurali Murugesan","raw_affiliation_strings":["Indian Institute of Technology-Madras (IITM), India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology-Madras (IITM), India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083037666","display_name":"Keerthi Ram","orcid":"https://orcid.org/0000-0002-0555-1923"},"institutions":[{"id":"https://openalex.org/I4210102197","display_name":"Healthcare Technology Innovation Centre","ror":"https://ror.org/017mw4x28","country_code":"IN","type":"facility","lineage":["https://openalex.org/I4210102197"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Keerthi Ram","raw_affiliation_strings":["Healthcare Technology Innovation Centre (HTIC), IITM, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Healthcare Technology Innovation Centre (HTIC), IITM, India","institution_ids":["https://openalex.org/I4210102197"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056763944","display_name":"Mohanasankar Sivaprakasam","orcid":"https://orcid.org/0000-0002-6714-9147"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohanasankar Sivaprakasam","raw_affiliation_strings":["Indian Institute of Technology-Madras (IITM), India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology-Madras (IITM), India","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6812,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85014837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9979000091552734,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7804490327835083},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.7148786783218384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7097420692443848},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7095781564712524},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.568843424320221},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5403440594673157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5365927219390869},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5276913642883301},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5049355626106262},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4826998710632324},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.48154953122138977},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4777502119541168},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4140339493751526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07799094915390015}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804490327835083},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7148786783218384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7097420692443848},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7095781564712524},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.568843424320221},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5403440594673157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5365927219390869},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5276913642883301},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5049355626106262},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4826998710632324},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.48154953122138977},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4777502119541168},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4140339493751526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07799094915390015},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbiworkshops50223.2020.9153453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbiworkshops50223.2020.9153453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2594014149","https://openalex.org/W2611467245","https://openalex.org/W2742774307","https://openalex.org/W2778924750","https://openalex.org/W2795380527","https://openalex.org/W2804047627","https://openalex.org/W2964453626","https://openalex.org/W2975342646","https://openalex.org/W2991684829","https://openalex.org/W3037852071","https://openalex.org/W6639824700","https://openalex.org/W6766104525","https://openalex.org/W6768631097"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520","https://openalex.org/W2801815023"],"abstract_inverted_index":{"Deep":[0],"learning":[1,92,124],"has":[2,33],"shown":[3],"great":[4],"promise":[5],"for":[6,37,85,107],"successful":[7],"acceleration":[8],"of":[9,15],"MRI":[10],"data":[11,102,106],"acquisition.":[12],"A":[13],"variety":[14],"architectures":[16],"have":[17],"been":[18],"proposed":[19,48],"to":[20,54,63,122],"obtain":[21],"high":[22,39],"fidelity":[23],"image":[24,44,65,105],"from":[25,42,60,78],"partially":[26],"observed":[27],"kspace":[28,62,101],"or":[29],"undersampled":[30,43,104],"image.":[31],"U-Net":[32],"demonstrated":[34],"impressive":[35],"performance":[36],"providing":[38],"quality":[40],"reconstruction":[41],"data.":[45],"The":[46],"recently":[47],"dAutomap":[49],"is":[50,82],"an":[51],"innovative":[52],"approach":[53,116],"directly":[55],"learn":[56],"the":[57,79,99],"domain":[58,75,81],"transformation":[59],"source":[61],"target":[64],"domain.":[66,132],"However":[67],"these":[68],"networks":[69,125],"operate":[70,127],"only":[71],"on":[72,129],"a":[73,90,114,130],"single":[74,131],"where":[76],"information":[77],"excluded":[80],"not":[83],"utilized":[84],"reconstruction.":[86,108],"This":[87],"paper":[88],"provides":[89],"deep":[91,123],"based":[93],"strategy":[94],"by":[95],"simultaneously":[96],"optimizing":[97],"both":[98],"raw":[100],"and":[103],"Our":[109],"experiments":[110],"demonstrate":[111],"that,":[112],"such":[113],"hybrid":[115],"can":[117],"potentially":[118],"improve":[119],"reconstruction,":[120],"compared":[121],"that":[126],"solely":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}