{"id":"https://openalex.org/W2790698911","doi":"https://doi.org/10.1109/camsap.2017.8313115","title":"Bi-Linear modeling of manifold-data geometry for Dynamic-MRI recovery","display_name":"Bi-Linear modeling of manifold-data geometry for Dynamic-MRI recovery","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2790698911","doi":"https://doi.org/10.1109/camsap.2017.8313115","mag":"2790698911","pmid":"https://pubmed.ncbi.nlm.nih.gov/31763626"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2017.8313115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6874403","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042922973","display_name":"Konstantinos Slavakis","orcid":"https://orcid.org/0000-0002-3370-3154"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Konstantinos Slavakis","raw_affiliation_strings":["Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037553950","display_name":"Gaurav Shetty","orcid":"https://orcid.org/0000-0003-0373-5689"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gaurav N. Shetty","raw_affiliation_strings":["Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008872414","display_name":"Abhishek Bose","orcid":"https://orcid.org/0000-0002-2784-9069"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhishek Bose","raw_affiliation_strings":["Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011642304","display_name":"Ukash Nakarmi","orcid":"https://orcid.org/0000-0002-5351-3956"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ukash Nakarmi","raw_affiliation_strings":["Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075561442","display_name":"Leslie Ying","orcid":"https://orcid.org/0000-0001-9801-1362"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leslie Ying","raw_affiliation_strings":["Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14226-2500, USA","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, The State University of New York, Buffalo,NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9993000030517578,"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":0.9991000294685364,"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/manifold","display_name":"Manifold (fluid mechanics)","score":0.7246695756912231},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.7031005024909973},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6156740188598633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5929129123687744},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4961877465248108},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4925478398799896},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4742414355278015},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.4568629264831543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.413993239402771},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4011335074901581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3917372226715088},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2764568030834198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2312537431716919}],"concepts":[{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.7246695756912231},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.7031005024909973},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6156740188598633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5929129123687744},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4961877465248108},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4925478398799896},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4742414355278015},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4568629264831543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.413993239402771},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4011335074901581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3917372226715088},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2764568030834198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2312537431716919},{"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/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/camsap.2017.8313115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},{"id":"pmid:31763626","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31763626","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":"... International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. International Workshop on Computational Advances in Multi-Sensor Adaptive Processing","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:6874403","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6874403","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int Workshop Comput Adv Multisens Adapt Process","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6874403","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6874403","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Int Workshop Comput Adv Multisens Adapt Process","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G4319233004","display_name":null,"funder_award_id":"R21 EB020861","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1508953807","https://openalex.org/W1521875821","https://openalex.org/W1553234812","https://openalex.org/W1847612160","https://openalex.org/W1979954835","https://openalex.org/W1999795676","https://openalex.org/W2008257035","https://openalex.org/W2058361915","https://openalex.org/W2070894671","https://openalex.org/W2072990200","https://openalex.org/W2082868024","https://openalex.org/W2089173745","https://openalex.org/W2093582341","https://openalex.org/W2101675075","https://openalex.org/W2117406892","https://openalex.org/W2149855549","https://openalex.org/W2156739854","https://openalex.org/W2157872906","https://openalex.org/W2158928439","https://openalex.org/W2211925052","https://openalex.org/W2432884336","https://openalex.org/W2586920741","https://openalex.org/W2588551052","https://openalex.org/W2697089769","https://openalex.org/W2963289483","https://openalex.org/W4249667877","https://openalex.org/W4285719527","https://openalex.org/W6683194942","https://openalex.org/W7034449035"],"related_works":["https://openalex.org/W117517268","https://openalex.org/W2383239174","https://openalex.org/W2362829263","https://openalex.org/W3159953198","https://openalex.org/W2380477800","https://openalex.org/W2347974653","https://openalex.org/W2766342722","https://openalex.org/W976496805","https://openalex.org/W2380996235","https://openalex.org/W49725993"],"abstract_inverted_index":{"This":[0],"paper":[1],"establishes":[2],"a":[3,36,46,94],"modeling":[4],"framework":[5,31],"for":[6,66,78,129],"data":[7,47,73,88,105],"located":[8],"onto":[9],"or":[10],"close":[11],"to":[12,24,43,74,93],"(unknown)":[13],"smooth":[14],"manifolds,":[15],"embedded":[16],"in":[17],"Euclidean":[18],"spaces,":[19],"and":[20,55,77,115],"considers":[21],"its":[22],"application":[23],"dynamic":[25],"magnetic":[26],"resonance":[27],"imaging":[28],"(dMRI).":[29],"The":[30],"comprises":[32],"several":[33],"modules:":[34],"First,":[35],"set":[37],"of":[38,59,81,97,102,125,132],"landmark":[39,61,82],"points":[40,62,83],"is":[41],"identified":[42],"describe":[44],"concisely":[45],"cloud":[48],"formed":[49],"by":[50,89],"highly":[51,133],"under-sampled":[52,134],"dMRI":[53,99,113,135],"data,":[54,100],"second,":[56],"low-dimensional":[57,72],"renditions":[58],"the":[60,67,86,98,103,122,126,130],"are":[63],"computed.":[64],"Searching":[65],"linear":[68],"operator":[69],"that":[70],"decompresses":[71],"high-dimensional":[75],"ones,":[76],"those":[79],"combinations":[80],"which":[84],"approximate":[85],"manifold":[87],"affine":[90],"patches,":[91],"leads":[92],"bi-linear":[95],"model":[96],"cognizant":[101],"intrinsic":[104],"geometry.":[106],"Preliminary":[107],"numerical":[108],"tests":[109],"on":[110],"synthetically":[111],"generated":[112],"phantoms,":[114],"comparisons":[116],"with":[117],"state-of-the-art":[118],"reconstruction":[119],"techniques,":[120],"underline":[121],"rich":[123],"potential":[124],"proposed":[127],"method":[128],"recovery":[131],"data.":[136]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}