{"id":"https://openalex.org/W4224986362","doi":"https://doi.org/10.1109/isbi52829.2022.9761587","title":"LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data","display_name":"LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4224986362","doi":"https://doi.org/10.1109/isbi52829.2022.9761587"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761587","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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/A5066311575","display_name":"Shijun Liang","orcid":"https://orcid.org/0000-0002-0825-7068"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shijun Liang","raw_affiliation_strings":["Michigan State University,Department of Biomedical Engineering,East Lansing,MI,USA","Department of Biomedical Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Department of Biomedical Engineering,East Lansing,MI,USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079112672","display_name":"Ashwin Sreevatsa","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashwin Sreevatsa","raw_affiliation_strings":["University of Michigan,Department of Electrical & Computer Engineering,Ann Arbor,MI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Department of Electrical & Computer Engineering,Ann Arbor,MI,USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023143272","display_name":"Anish Lahiri","orcid":"https://orcid.org/0000-0002-5763-4106"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anish Lahiri","raw_affiliation_strings":["University of Michigan,Department of Electrical & Computer Engineering,Ann Arbor,MI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan,Department of Electrical & Computer Engineering,Ann Arbor,MI,USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101799762","display_name":"Saiprasad Ravishankar","orcid":"https://orcid.org/0000-0002-5792-5827"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saiprasad Ravishankar","raw_affiliation_strings":["Michigan State University,Department of Biomedical Engineering,East Lansing,MI,USA","Department of Biomedical Engineering, Michigan State University, East Lansing, MI, USA","Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Department of Biomedical Engineering,East Lansing,MI,USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3029,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47988366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"97","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998999834060669,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998999834060669,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9997000098228455,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9970999956130981,"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/undersampling","display_name":"Undersampling","score":0.9874730110168457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6986837387084961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6908259391784668},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6500200033187866},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5784465670585632},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5295266509056091},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.48272058367729187},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4604988098144531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45834657549858093},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4566553831100464},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.45284074544906616},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4360649883747101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43039023876190186},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4283275008201599},{"id":"https://openalex.org/keywords/standard-test-image","display_name":"Standard test image","score":0.42421281337738037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32009297609329224},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22351062297821045}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.9874730110168457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6986837387084961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6908259391784668},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6500200033187866},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5784465670585632},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5295266509056091},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.48272058367729187},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4604988098144531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45834657549858093},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4566553831100464},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.45284074544906616},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4360649883747101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43039023876190186},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4283275008201599},{"id":"https://openalex.org/C180462255","wikidata":"https://www.wikidata.org/wiki/Q3559736","display_name":"Standard test image","level":4,"score":0.42421281337738037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32009297609329224},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22351062297821045},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761587","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.75,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2065391104","https://openalex.org/W2070678378","https://openalex.org/W2087332491","https://openalex.org/W2098092211","https://openalex.org/W2141039087","https://openalex.org/W2167396304","https://openalex.org/W2168668658","https://openalex.org/W2574952845","https://openalex.org/W2773850766","https://openalex.org/W2900756484","https://openalex.org/W2942199805","https://openalex.org/W2949440985","https://openalex.org/W3003650457","https://openalex.org/W3100730608","https://openalex.org/W3103921058","https://openalex.org/W4250955649","https://openalex.org/W4286851356","https://openalex.org/W6631190155","https://openalex.org/W6684531467","https://openalex.org/W6755625687","https://openalex.org/W6762438721","https://openalex.org/W6803012509","https://openalex.org/W6840498363"],"related_works":["https://openalex.org/W3011226087","https://openalex.org/W2212041357","https://openalex.org/W3214931932","https://openalex.org/W1959447026","https://openalex.org/W2895530314","https://openalex.org/W2052082011","https://openalex.org/W2903019797","https://openalex.org/W2218273114","https://openalex.org/W3151592636","https://openalex.org/W4249288098"],"abstract_inverted_index":{"There":[0],"has":[1],"been":[2],"much":[3],"interest":[4],"in":[5,56],"machine":[6],"learning":[7,107],"based":[8,27],"methods":[9],"for":[10,23,106,150,158],"MR":[11,24],"image":[12,25,79],"reconstruction":[13,26,156],"from":[14],"undersampled":[15],"k-space":[16],"data.":[17],"This":[18],"paper":[19],"presents":[20],"a":[21,38,63,95],"method":[22,104,177],"on":[28,50,188],"rapidly":[29],"fitting":[30],"neural":[31],"networks":[32],"to":[33,93,98,113,122,135,184],"adaptively":[34],"estimated":[35],"neighbor-hoods":[36],"within":[37],"larger":[39,189],"training":[40,51,84,136],"set.":[41],"The":[42,66],"weights":[43],"of":[44,62,75,125,163,180],"the":[45,57,73,76,87,99,114,123,140,147],"network":[46,83,145],"are":[47,54,110],"learned":[48,186],"only":[49],"examples":[52],"that":[53,109],"specified":[55],"\u2018vicinity\u2019":[58],"or":[59,128],"local":[60],"neighborhood":[61],"test":[64,78,88,116],"reconstruction.":[65,89],"algorithm":[67],"(dubbed":[68],"LONDN-MRI)":[69],"alternates":[70],"between":[71],"estimating":[72],"neighbors":[74],"reconstructed":[77],"and":[80,85,118,146,160],"performing":[81],"(local)":[82],"updating":[86],"Rather":[90],"than":[91],"attempting":[92],"fit":[94],"model":[96],"once":[97],"entire":[100],"dataset,":[101],"our":[102,152,176],"proposed":[103],"allows":[105],"models":[108,185],"more":[111,120],"tailored":[112],"input":[115],"data,":[117],"therefore":[119],"flexible":[121],"choice":[124],"undersampling":[126,162],"patterns":[127],"anatomy.":[129],"It":[130],"also":[131],"easily":[132],"accommodates":[133],"modifications":[134],"sets.":[137],"We":[138,154],"used":[139],"recent":[141],"MoDL":[142],"(deep":[143],"unrolled)":[144],"FastMRI":[148],"dataset":[149],"testing":[151],"approach.":[153],"present":[155],"results":[157],"fourfold":[159],"eightfold":[161],"multi-coil":[164],"data":[165],"using":[166],"1D":[167],"variable-density":[168],"random":[169],"phase-encode":[170],"sampling":[171],"masks.":[172],"When":[173],"trained":[174],"locally,":[175],"yields":[178],"reconstructions":[179],"better":[181],"quality":[182],"compared":[183],"globally":[187],"datasets.":[190]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}