{"id":"https://openalex.org/W4401509012","doi":"https://doi.org/10.1109/saci60582.2024.10619803","title":"Noise Reduction with Wavelet Transform for Clustering Time Series of Tumor Volumes","display_name":"Noise Reduction with Wavelet Transform for Clustering Time Series of Tumor Volumes","publication_year":2024,"publication_date":"2024-05-23","ids":{"openalex":"https://openalex.org/W4401509012","doi":"https://doi.org/10.1109/saci60582.2024.10619803"},"language":"en","primary_location":{"id":"doi:10.1109/saci60582.2024.10619803","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/saci60582.2024.10619803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"},"type":"article","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/A5092276465","display_name":"Lilla Kisbenedek","orcid":null},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Lilla Kisbenedek","raw_affiliation_strings":["Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051845260","display_name":"Mel\u00e1nia Pusk\u00e1s","orcid":"https://orcid.org/0009-0003-9694-6553"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Mel\u00e1nia Pusk\u00e1s","raw_affiliation_strings":["Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017908067","display_name":"Borb\u00e1la Gergics","orcid":"https://orcid.org/0009-0001-2607-1179"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Borb\u00e1la Gergics","raw_affiliation_strings":["Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021051122","display_name":"Levente Kov\u00e1cs","orcid":"https://orcid.org/0000-0002-3188-0800"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Levente Kov\u00e1cs","raw_affiliation_strings":["Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071491835","display_name":"D\u00e1niel Andr\u00e1s Drexler","orcid":"https://orcid.org/0000-0001-6655-4354"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"D\u00e1niel Andr\u00e1s Drexler","raw_affiliation_strings":["Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physiological Controls Research Center, Research and Innovation Center of Óbuda University Óbuda University,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2801419141"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07685029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"113","issue":null,"first_page":"000339","last_page":"000344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9107999801635742,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9107999801635742,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6330060362815857},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.625529944896698},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5892736911773682},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5541396737098694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5382471084594727},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5351629257202148},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4938243329524994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4890087842941284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47366032004356384},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4676596224308014},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4175358712673187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26263105869293213},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08527395129203796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.04970237612724304}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6330060362815857},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.625529944896698},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5892736911773682},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5541396737098694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5382471084594727},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5351629257202148},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4938243329524994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4890087842941284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47366032004356384},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4676596224308014},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4175358712673187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26263105869293213},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08527395129203796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.04970237612724304},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/saci60582.2024.10619803","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/saci60582.2024.10619803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1587359340","https://openalex.org/W1596960200","https://openalex.org/W1847315806","https://openalex.org/W1989280111","https://openalex.org/W2024447346","https://openalex.org/W2079492280","https://openalex.org/W2101961850","https://openalex.org/W2891135033","https://openalex.org/W3000598214","https://openalex.org/W3003257820","https://openalex.org/W3015654211","https://openalex.org/W3015784690","https://openalex.org/W3165564116","https://openalex.org/W3208500079","https://openalex.org/W4210431796","https://openalex.org/W4210641405","https://openalex.org/W4210678434","https://openalex.org/W4223999126","https://openalex.org/W4235644068","https://openalex.org/W4237222446","https://openalex.org/W4307002224","https://openalex.org/W4309344239","https://openalex.org/W4312328383","https://openalex.org/W4312647239","https://openalex.org/W4382204541","https://openalex.org/W4382204678","https://openalex.org/W4382204882","https://openalex.org/W4386883086","https://openalex.org/W4391594566","https://openalex.org/W6630485766","https://openalex.org/W6675433768","https://openalex.org/W6748553652","https://openalex.org/W6781892249","https://openalex.org/W6809060786"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2059273319","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Personalizing":[0],"the":[1,15,33,36,39,44,51,55,60,74,93,104,119,142,145,148,155,163,189],"drug":[2],"administration":[3],"during":[4],"chemotherapy":[5],"is":[6],"a":[7,30,70,83,86,167],"promising":[8],"direction":[9],"in":[10,111],"healthcare.":[11],"However,":[12],"due":[13,72],"to":[14,28,38,73,91,154,179,197,202],"lack":[16],"of":[17,35,43,54,79,97,125,128,144,191],"an":[18],"extensive":[19],"dataset":[20],"for":[21,151],"optimizing":[22],"treatment,":[23],"mathematical":[24,45],"models":[25],"are":[26],"essential":[27],"establish":[29],"relationship":[31],"between":[32],"response":[34],"tumor":[37,80,98,126,186],"drug.":[40],"The":[41,106,136,159],"parameters":[42,68,146],"model":[46],"can":[47,62],"be":[48,63,177],"considered":[49],"as":[50],"unique":[52],"characteristics":[53],"patients,":[56],"thus":[57],"after":[58],"identification":[59],"therapy":[61],"individualized.":[64],"Nonetheless,":[65],"determining":[66],"these":[67],"poses":[69],"challenge":[71],"varied":[75],"and":[76,147],"intricate":[77],"patterns":[78],"growth.":[81],"In":[82,114,171],"previous":[84],"study,":[85],"clustering":[87],"approach":[88,107],"was":[89,108,166],"developed":[90],"group":[92],"different":[94],"time":[95,123,149],"series":[96,124,150],"volumes":[99,127],"comparing":[100,141],"their":[101],"dynamic":[102],"by":[103,140],"authors.":[105],"tested":[109,118],"via":[110],"silico":[112],"dataset.":[113],"this":[115,174],"work,":[116],"we":[117],"method":[120],"on":[121,185],"multiple":[122],"real":[129],"experimental":[130],"mice,":[131],"not":[132,195],"only":[133,196],"virtual":[134],"ones.":[135],"results":[137],"were":[138],"evaluated":[139],"median":[143,164],"each":[152],"cluster":[153],"original":[156],"testing":[157],"data.":[158],"evaluation":[160],"revealed":[161],"that":[162],"discrepancy":[165],"mere":[168],"43":[169],"mm3.":[170],"future":[172],"applications,":[173],"methodology":[175],"may":[176],"employed":[178],"categorize":[180],"patients":[181,199],"into":[182],"clusters":[183],"based":[184],"dynamics,":[187],"enabling":[188],"development":[190],"therapeutic":[192],"strategies":[193],"tailored":[194],"individual":[198],"but":[200],"also":[201],"groups":[203],"sharing":[204],"similar":[205],"characteristics.":[206]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}