{"id":"https://openalex.org/W3095741854","doi":"https://doi.org/10.23919/softcom50211.2020.9238214","title":"The Black-White Pixels Ratio in Medial Temporal Lobe Brain Structure in Transcranial B-Images as a Measurable Marker of Alzheimer\u2019s Disease Probability: The Reproducibility Overview","display_name":"The Black-White Pixels Ratio in Medial Temporal Lobe Brain Structure in Transcranial B-Images as a Measurable Marker of Alzheimer\u2019s Disease Probability: The Reproducibility Overview","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3095741854","doi":"https://doi.org/10.23919/softcom50211.2020.9238214","mag":"3095741854"},"language":"en","primary_location":{"id":"doi:10.23919/softcom50211.2020.9238214","is_oa":false,"landing_page_url":"https://doi.org/10.23919/softcom50211.2020.9238214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","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/A5057449190","display_name":"Ji\u0159\u00ed Blahuta","orcid":"https://orcid.org/0000-0002-3001-1101"},"institutions":[{"id":"https://openalex.org/I4210094628","display_name":"Moravsk\u00e1 Vysok\u00e1 Skola Olomouc","ror":"https://ror.org/00mwh6v70","country_code":"CZ","type":"education","lineage":["https://openalex.org/I4210094628"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jiri Blahuta","raw_affiliation_strings":["Computer Science and Applied Math., Moravian Business College Olomouc, Olomouc, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Applied Math., Moravian Business College Olomouc, Olomouc, Czech Republic","institution_ids":["https://openalex.org/I4210094628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005712209","display_name":"Tom\u00e1\u0161 Soukup","orcid":"https://orcid.org/0000-0001-7475-5711"},"institutions":[{"id":"https://openalex.org/I32366509","display_name":"Silesian University in Opava","ror":"https://ror.org/02w4f2z17","country_code":"CZ","type":"education","lineage":["https://openalex.org/I32366509"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Tomas Soukup","raw_affiliation_strings":["Computer Science and Informatics, Silesian University in Opava, Opava, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Informatics, Silesian University in Opava, Opava, Czech Republic","institution_ids":["https://openalex.org/I32366509"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066780647","display_name":"Luk\u00e1\u0161 Pavl\u00edk","orcid":"https://orcid.org/0000-0003-3005-4125"},"institutions":[{"id":"https://openalex.org/I4210094628","display_name":"Moravsk\u00e1 Vysok\u00e1 Skola Olomouc","ror":"https://ror.org/00mwh6v70","country_code":"CZ","type":"education","lineage":["https://openalex.org/I4210094628"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Lukas Pavlik","raw_affiliation_strings":["Computer Science and Applied Math., Moravian Business College Olomouc, Olomouc, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Applied Math., Moravian Business College Olomouc, Olomouc, Czech Republic","institution_ids":["https://openalex.org/I4210094628"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9571999907493591,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9571999907493591,"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.9488999843597412,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9316999912261963,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reproducibility","display_name":"Reproducibility","score":0.732286810874939},{"id":"https://openalex.org/keywords/temporal-lobe","display_name":"Temporal lobe","score":0.717376708984375},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5676395893096924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41579902172088623},{"id":"https://openalex.org/keywords/white-matter","display_name":"White matter","score":0.41286253929138184},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3795362710952759},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.3502427339553833},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.32907772064208984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3227110505104065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3207377791404724},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.31476181745529175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22018718719482422},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.14316320419311523},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10653823614120483},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.08619222044944763},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.05906417965888977}],"concepts":[{"id":"https://openalex.org/C9893847","wikidata":"https://www.wikidata.org/wiki/Q1425625","display_name":"Reproducibility","level":2,"score":0.732286810874939},{"id":"https://openalex.org/C2781099131","wikidata":"https://www.wikidata.org/wiki/Q744385","display_name":"Temporal lobe","level":3,"score":0.717376708984375},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5676395893096924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41579902172088623},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.41286253929138184},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3795362710952759},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.3502427339553833},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.32907772064208984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3227110505104065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3207377791404724},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31476181745529175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22018718719482422},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.14316320419311523},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10653823614120483},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.08619222044944763},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.05906417965888977}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/softcom50211.2020.9238214","is_oa":false,"landing_page_url":"https://doi.org/10.23919/softcom50211.2020.9238214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322836","display_name":"Ministry of Health, British Columbia","ror":"https://ror.org/05smbmp94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1567198722","https://openalex.org/W2010595907","https://openalex.org/W2139201410","https://openalex.org/W2418317941","https://openalex.org/W2503588077","https://openalex.org/W2616828288","https://openalex.org/W2885500297","https://openalex.org/W2894313090","https://openalex.org/W2970727161","https://openalex.org/W4241005775","https://openalex.org/W6724665537","https://openalex.org/W6755484583"],"related_works":["https://openalex.org/W2413717610","https://openalex.org/W1973270181","https://openalex.org/W2417696084","https://openalex.org/W2368782778","https://openalex.org/W2087830269","https://openalex.org/W3106281778","https://openalex.org/W4324138256","https://openalex.org/W3134060498","https://openalex.org/W2003643616","https://openalex.org/W638612878"],"abstract_inverted_index":{"The":[0,149,160],"objective":[1],"of":[2,54,62,75,85,92,111,145,234,255],"the":[3,10,40,45,60,65,90,93,102,109,125,178,181,185,188,202,204,213,218,239],"presented":[4],"study":[5],"is":[6,47,57,78,104,147],"to":[7,39,99,211,223,252],"introduce":[8],"analysis":[9],"black-white":[11],"pixels":[12],"ratio":[13,32,94,103,126,205,219],"in":[14,21,59,108,114],"medial":[15,137],"temporal":[16,138],"lobe":[17,139],"(MTL)":[18],"brain":[19],"structure":[20,50],"digitized":[22],"transcranial":[23],"B-images":[24,77],"using":[25,121,258],"our":[26],"developed":[27],"software":[28],"B-MODE":[29],"Assist.":[30],"This":[31],"could":[33,206,247],"be":[34,128,207,248],"a":[35,73,117,141,225,249],"significant":[36],"marker":[37],"related":[38],"echogenicity":[41,53,241],"grade.":[42,242],"In":[43,201,243],"B-image,":[44],"MTL":[46,63,214],"stable":[48],"anechogenic":[49],"but":[51],"increased":[52],"surrounding":[55],"cortex":[56,240],"detectable":[58],"case":[61,110],"atrophy;":[64],"atrophy":[66,215],"predicts":[67],"Alzheimer\u2019s":[68,235,256],"Disease.":[69],"Within":[70],"this":[71,86,245],"study,":[72],"set":[74],"97":[76],"used.":[79,148],"There":[80],"are":[81],"two":[82,96,156],"key":[83],"goals":[84],"pilot":[87],"study;":[88],"verify":[89],"reproducibility":[91],"between":[95,155,167,177],"observers":[97,170],"and":[98,120,133,171,187,221],"show":[100],"that":[101],"not":[105,163,173],"much":[106],"different":[107],"original":[112],"image":[113,131],"comparison":[115],"with":[116],"magnified":[118],"segment":[119],"constant":[122],"brightness":[123],"increasing;":[124],"should":[127,230],"independent":[129],"on":[130,217,238],"resolution":[132],"brightness.":[134],"To":[135],"select":[136],"structure,":[140],"20mm":[142],"square-shaped":[143],"Region":[144],"Interest":[146],"correlation":[150],"coefficient":[151],"r=0.69":[152],"was":[153],"achieved":[154],"independent,":[157],"non-experienced":[158,169],"observers.":[159],"error":[161],"does":[162,172],"exceed":[164,174],"28":[165],"%":[166,176],"2":[168],"12":[175],"measurements":[179],"from":[180],"same":[182],"observer.":[183],"Also,":[184],"variance":[186],"range":[189],"were":[190],"computed.":[191],"Achieved":[192],"results":[193],"have":[194],"been":[195],"judged":[196],"by":[197],"an":[198,208],"experienced":[199],"sonographer.":[200],"future,":[203],"effective":[209],"value":[210,220],"determine":[212],"based":[216,237],"possibility":[222],"create":[224],"rule-based":[226],"expert":[227],"system":[228],"which":[229],"help":[231],"evaluate":[232],"probability":[233],"Disease":[236,257],"general,":[244],"approach":[246],"reliable":[250],"way":[251],"detect":[253],"risk":[254],"neurosonological":[259],"imaging.":[260]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
