{"id":"https://openalex.org/W6907295341","doi":"https://doi.org/10.21227/9p5v-c126","title":"\"Realistic Human Head Phantoms Suitable for AI Applications: Dataset and User-Friendly Application for Phantom Generation\"","display_name":"\"Realistic Human Head Phantoms Suitable for AI Applications: Dataset and User-Friendly Application for Phantom Generation\"","publication_year":2025,"publication_date":"2025-08-01","ids":{"openalex":"https://openalex.org/W6907295341","doi":"https://doi.org/10.21227/9p5v-c126"},"language":"en","primary_location":{"id":"doi:10.21227/9p5v-c126","is_oa":true,"landing_page_url":"https://doi.org/10.21227/9p5v-c126","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/9p5v-c126","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Anja Kovacevic","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Anja Kovacevic","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Darko Ninkovic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Darko Ninkovic","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Lorenzo Crocco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lorenzo Crocco","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Branko Kolundzija","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Branko Kolundzija","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Marija Nikolic Stevanovic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marija Nikolic Stevanovic","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.20250000059604645,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.20250000059604645,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.11509999632835388,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.09880000352859497,"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/imaging-phantom","display_name":"Imaging phantom","score":0.8560000061988831},{"id":"https://openalex.org/keywords/human-head","display_name":"Human head","score":0.7486000061035156},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.6523000001907349},{"id":"https://openalex.org/keywords/spherical-harmonics","display_name":"Spherical harmonics","score":0.43810001015663147},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4350000023841858},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.39559999108314514}],"concepts":[{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.8560000061988831},{"id":"https://openalex.org/C2780549717","wikidata":"https://www.wikidata.org/wiki/Q3409626","display_name":"Human head","level":3,"score":0.7486000061035156},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.6523000001907349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5339000225067139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731999933719635},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.4706999957561493},{"id":"https://openalex.org/C3768446","wikidata":"https://www.wikidata.org/wiki/Q877100","display_name":"Spherical harmonics","level":2,"score":0.43810001015663147},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4350000023841858},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4036000072956085},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C3018411727","wikidata":"https://www.wikidata.org/wiki/Q3867488","display_name":"Head and neck","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C2992441837","wikidata":"https://www.wikidata.org/wiki/Q7362","display_name":"Human ear","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.27549999952316284},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.26190000772476196},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/9p5v-c126","is_oa":true,"landing_page_url":"https://doi.org/10.21227/9p5v-c126","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/9p5v-c126","is_oa":true,"landing_page_url":"https://doi.org/10.21227/9p5v-c126","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4763030707836151}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"\"The":[0],"presented":[1,107,130],"dataset":[2,98,131],"consists":[3],"of":[4,42,81,134,150,153],"1,000":[5],"head":[6,58,119,155],"phantoms":[7,43,82,87,156],"derived":[8],"from":[9,15,88,101],"a\\r\\nsingle":[10],"NEVA":[11,47],"female":[12],"phantom":[13,109],"obtained":[14],"an":[16],"MRI":[17],"scan":[18],"(available":[19],"upon\\r\\nrequest":[20],"at":[21],"https:\\/\\/www.nevaelectromagnetics.com\\/vhp-female-v2-2).":[22],"Each\\r\\nphantom":[23],"comprises":[24],"four":[25],"tissue":[26],"boundary":[27],"surfaces":[28],"(brain,":[29],"skull,":[30],"inner":[31],"skin\\r\\nand":[32],"outer":[33],"skin)":[34],"given":[35],"in":[36,124,138],"stl":[37],"format.":[38],"The":[39],"first":[40,90],"generation":[41,80,91,110],"is\\r\\ngenerated":[44],"by":[45,85],"parameterizing":[46],"brain":[48],"model":[49],"via":[50],"spherical":[51,72],"harmonics":[52],"and\\r\\nperturbing":[53],"the":[54,64,78,89,97,106,129,143],"expansion":[55],"coefficients.":[56],"Remaining":[57],"tissues":[59],"are":[60,104],"deformed\\r\\nin":[61],"unison":[62],"with":[63,66],"brain,":[65],"further":[67],"anatomical":[68],"variability":[69],"introduced\\r\\nthrough":[70],"low-order":[71],"harmonic":[73],"modulations.":[74],"To":[75],"mimic":[76],"genetic\\r\\nrecombination,":[77],"second":[79],"is":[83,112,157],"created":[84,118],"combining\\r\\nthe":[86],"and":[92,123],"adding":[93],"stochastic":[94],"variation":[95],"to\\r\\nenrich":[96],"diversity.":[99],"Phantoms":[100],"both":[102,121],"generations":[103],"included\\r\\nin":[105],"dataset.\\r\\n\\r\\nThe":[108],"process":[111],"fine-tuned":[113],"to":[114,142],"produce":[115],"significant\\r\\nvariations":[116],"among":[117],"models,":[120],"geometrically":[122],"terms":[125],"of\\r\\nelectromagnetic":[126],"response.":[127],"Thus,":[128],"supports":[132],"the\\r\\ntraining":[133],"artificial":[135],"intelligence":[136],"models":[137],"medical":[139],"imaging\\r\\napplications.\\r\\n\\r\\nIn":[140],"addition":[141],"dataset,":[144],"a":[145],"user-friendly":[146],"application":[147],"for":[148],"rapid\\r\\ngeneration":[149],"user-defined":[151],"number":[152],"human":[154],"supplied.\"":[158]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}