{"id":"https://openalex.org/W2527488432","doi":"https://doi.org/10.1007/978-3-319-46726-9_33","title":"Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models","display_name":"Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2527488432","doi":"https://doi.org/10.1007/978-3-319-46726-9_33","mag":"2527488432"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-46726-9_33","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_33","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-46726-9_33","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035068572","display_name":"Jwala Dhamala","orcid":"https://orcid.org/0000-0002-5396-9187"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jwala Dhamala","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, New York, 14623, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, New York, 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077573193","display_name":"John L. Sapp","orcid":"https://orcid.org/0000-0002-9602-2751"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"John L. Sapp","raw_affiliation_strings":["Dalhousie University, Halifax, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010690465","display_name":"B. Milan Hor\u00e1\u010dek","orcid":"https://orcid.org/0000-0001-6902-7787"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Milan Horacek","raw_affiliation_strings":["Dalhousie University, Halifax, Canada"],"affiliations":[{"raw_affiliation_string":"Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101710700","display_name":"Linwei Wang","orcid":"https://orcid.org/0000-0002-5678-2369"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linwei Wang","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, New York, 14623, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, New York, 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035068572"],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":8.9498,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97683677,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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":0.9686999917030334,"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/computer-science","display_name":"Computer science","score":0.6932164430618286},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.6866641640663147},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5840497016906738},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.501936674118042},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5018115043640137},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48789095878601074},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.48612546920776367},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4260713458061218},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42164579033851624},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38041993975639343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22793591022491455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19128134846687317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6932164430618286},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.6866641640663147},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5840497016906738},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.501936674118042},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5018115043640137},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48789095878601074},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.48612546920776367},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4260713458061218},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42164579033851624},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38041993975639343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22793591022491455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19128134846687317},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-46726-9_33","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_33","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-46726-9_33","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-46726-9_33","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W242287787","https://openalex.org/W1984561163","https://openalex.org/W2041417176","https://openalex.org/W2143828148","https://openalex.org/W2144895118","https://openalex.org/W2155382668","https://openalex.org/W2161455851","https://openalex.org/W2192203593","https://openalex.org/W2286032140","https://openalex.org/W2561675875","https://openalex.org/W4248606406"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W2542402767","https://openalex.org/W2158056054","https://openalex.org/W3023086044","https://openalex.org/W2906353151","https://openalex.org/W2142226356","https://openalex.org/W3210000161","https://openalex.org/W3103111272"],"abstract_inverted_index":{"The":[0],"estimation":[1,31,75,142],"of":[2,40,47,81,113,131,139],"local":[3,29,140],"parameter":[4,30,74,141],"values":[5],"for":[6,13,22],"a":[7,37,66,72,78,89,104],"3D":[8],"cardiac":[9],"model":[10],"is":[11],"important":[12],"revealing":[14],"abnormal":[15],"tissues":[16,57],"with":[17,36,58],"altered":[18],"material":[19],"properties":[20,116],"and":[21,62,102,125],"building":[23],"patient-specific":[24],"models.":[25,150],"Existing":[26],"works":[27],"in":[28,121,143],"typically":[32],"represent":[33],"the":[34,45,99,129,132,137],"heart":[35],"small":[38],"number":[39,80],"pre-defined":[41],"segments":[42],"to":[43,55,70,97,111,135,145],"reduce":[44],"dimension":[46],"unknowns.":[48,82],"Such":[49],"low-resolution":[50,95],"approaches":[51],"have":[52],"limited":[53],"ability":[54,130],"estimate":[56],"varying":[59],"sizes,":[60],"locations,":[61],"distributions.":[63],"We":[64],"present":[65],"novel":[67],"optimization":[68,92,146],"framework":[69,134],"achieve":[71],"higher-resolution":[73,100],"without":[76],"using":[77],"high":[79],"It":[83],"has":[84],"two":[85],"central":[86],"elements:":[87],"(1)":[88],"multi-scale":[90],"coarse-to-fine":[91],"that":[93,107],"uses":[94],"solutions":[96],"facilitate":[98],"optimization;":[101],"(2)":[103],"spatially-adaptive":[105],"scheme":[106],"dedicates":[108],"higher":[109],"resolution":[110,120],"regions":[112],"heterogeneous":[114],"tissue":[115],"whereas":[117],"retaining":[118],"low":[119],"homogeneous":[122],"regions.":[123],"Synthetic":[124],"real-data":[126],"experiments":[127],"demonstrate":[128],"presented":[133],"improve":[136],"accuracy":[138],"comparison":[144],"based":[147],"on":[148],"fixed-segment":[149]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}