{"id":"https://openalex.org/W4386636291","doi":"https://doi.org/10.1145/3576781.3608717","title":"Fine-tuned Circuit Representation of Human Vessels through Reinforcement Learning","display_name":"Fine-tuned Circuit Representation of Human Vessels through Reinforcement Learning","publication_year":2023,"publication_date":"2023-09-12","ids":{"openalex":"https://openalex.org/W4386636291","doi":"https://doi.org/10.1145/3576781.3608717"},"language":"en","primary_location":{"id":"doi:10.1145/3576781.3608717","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3576781.3608717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/155162","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088581993","display_name":"Jorge Torres G\u00f3mez","orcid":"https://orcid.org/0000-0001-9523-048X"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jorge Torres Gomez","raw_affiliation_strings":["TU Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9523-048X","affiliations":[{"raw_affiliation_string":"TU Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049149990","display_name":"Nicolai Spicher","orcid":"https://orcid.org/0000-0002-2879-9948"},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nicolai Spicher","raw_affiliation_strings":["University of G\u00f6ttingen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2879-9948","affiliations":[{"raw_affiliation_string":"University of G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015203185","display_name":"Jorge Luis Gonz\u00e1lez R\u00edos","orcid":"https://orcid.org/0000-0003-4415-9649"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Jorge Luis Gonz\u00e1lez Rios","raw_affiliation_strings":["University of Luxembourg, Luxembourg"],"raw_orcid":"https://orcid.org/0000-0003-4415-9649","affiliations":[{"raw_affiliation_string":"University of Luxembourg, Luxembourg","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042212040","display_name":"Falko Dressler","orcid":"https://orcid.org/0000-0002-1989-1750"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Falko Dressler","raw_affiliation_strings":["TU Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1989-1750","affiliations":[{"raw_affiliation_string":"TU Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088581993"],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":0.2146,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47895438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9940999746322632,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7642444372177124},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6602089405059814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.623992383480072},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4449889361858368},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4317421317100525},{"id":"https://openalex.org/keywords/resistor","display_name":"Resistor","score":0.43051791191101074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42177486419677734},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.413127064704895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32793688774108887},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.24758940935134888},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18657657504081726},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12401115894317627}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7642444372177124},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6602089405059814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.623992383480072},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4449889361858368},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4317421317100525},{"id":"https://openalex.org/C137488568","wikidata":"https://www.wikidata.org/wiki/Q5321","display_name":"Resistor","level":3,"score":0.43051791191101074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42177486419677734},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.413127064704895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32793688774108887},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.24758940935134888},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18657657504081726},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12401115894317627},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3576781.3608717","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3576781.3608717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM International Conference on Nanoscale Computing and Communication","raw_type":"proceedings-article"},{"id":"pmh:oai:orbilu.uni.lu:10993/57005","is_oa":false,"landing_page_url":"https://orbilu.uni.lu/handle/10993/57005","pdf_url":null,"source":{"id":"https://openalex.org/S4306401815","display_name":"Open Repository and Bibliography (University of Luxembourg)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I186903577","host_organization_name":"University of Luxembourg","host_organization_lineage":["https://openalex.org/I186903577"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"10th ACM International Conference on Nanoscale Computing and Communication (NANOCOM \u201923) (2023-09-20); NANOCOM '23, September 2023","raw_type":"peer reviewed"},{"id":"pmh:oai:publications.goettingen-research-online.de:2/160900","is_oa":true,"landing_page_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/155162","pdf_url":null,"source":{"id":"https://openalex.org/S4306401634","display_name":"GoeScholar  The Publication Server of the Georg-August-Universit\u00e4t G\u00f6ttingen (Georg-August-Universit\u00e4t G\u00f6ttingen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210122495","host_organization_name":"Asklepios Klinik St. Georg","host_organization_lineage":["https://openalex.org/I4210122495"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"yes"}],"best_oa_location":{"id":"pmh:oai:publications.goettingen-research-online.de:2/160900","is_oa":true,"landing_page_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/155162","pdf_url":null,"source":{"id":"https://openalex.org/S4306401634","display_name":"GoeScholar  The Publication Server of the Georg-August-Universit\u00e4t G\u00f6ttingen (Georg-August-Universit\u00e4t G\u00f6ttingen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210122495","host_organization_name":"Asklepios Klinik St. Georg","host_organization_lineage":["https://openalex.org/I4210122495"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"yes"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1516996557","https://openalex.org/W1910763089","https://openalex.org/W2011679634","https://openalex.org/W2064298625","https://openalex.org/W2078318670","https://openalex.org/W2108471353","https://openalex.org/W2137258350","https://openalex.org/W2140143190","https://openalex.org/W2143583486","https://openalex.org/W3119595909","https://openalex.org/W4251820791","https://openalex.org/W4293109418","https://openalex.org/W4320063697"],"related_works":["https://openalex.org/W3200817179","https://openalex.org/W1960166976","https://openalex.org/W2380067098","https://openalex.org/W1992708211","https://openalex.org/W1548152478","https://openalex.org/W2137172615","https://openalex.org/W2112564789","https://openalex.org/W2106247205","https://openalex.org/W2543503210","https://openalex.org/W2371805284"],"abstract_inverted_index":{"The":[0,109,120],"modeling":[1],"of":[2,15,21,29,36,61,98,134],"human":[3,51,92],"vessel":[4,74,127],"hemodynamics":[5],"targets":[6],"various":[7],"benefits":[8],"in":[9,103],"health":[10],"care":[11],"applications.":[12],"Subject-specific":[13],"models":[14],"vessels":[16],"allow":[17],"the":[18,27,50,57,91,96,126],"accurate":[19],"prediction":[20],"pressure":[22,80,141],"and":[23,81,94,101,129,139],"flow,":[24],"thus,":[25],"enabling":[26],"study":[28],"individuals'":[30],"responses":[31],"to":[32],"medical":[33],"treatment.":[34],"Instead":[35],"developing":[37],"a":[38,41,47,67,114,144],"model":[39,71,89,111],"for":[40,49,56,72,90],"standard":[42],"person,":[43],"this":[44],"paper":[45],"features":[46],"design":[48],"circulatory":[52],"system":[53],"(HCS)":[54],"accounting":[55],"specific":[58,118],"physiological":[59],"parameters":[60,75],"an":[62,86,132],"individual.":[63],"We":[64,84],"report":[65],"using":[66],"reinforcement":[68,106,121],"learning":[69,107,122],"(RL)":[70,123],"customary":[73],"when":[76],"training":[77],"with":[78,105,131,143],"subject-specific":[79],"flow":[82],"waveforms.":[83],"use":[85],"equivalent":[87],"electric-circuit":[88],"arteries":[93],"adjust":[95],"values":[97],"resistors,":[99],"inductors,":[100],"capacitors":[102],"combination":[104],"(RL).":[108],"conceived":[110],"stems":[112],"as":[113],"digital":[115],"twin":[116],"replicating":[117],"subjects.":[119],"method":[124],"predicts":[125],"length":[128],"radius":[130],"error":[133],"less":[135],"than":[136,147],"10":[137],"%":[138],"fits":[140],"waveforms":[142],"similarity":[145],"higher":[146],"94":[148],"%.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
