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Dora Zlatareva

Biographic Data

ID4183185
NAMEDora Zlatareva
GIVEN NAMESDora
FAMILY NAMEZlatareva
SIGNATUREZLATAREVA D
AFFILIATIONSMedical University of Sofia
ORCID0000-0001-5298-2278
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Sex estimation based on mandibular measurements

    Diana Toneva, Silviya Nikolova et al.•ARTICLE•Anthropologischer Anzeiger•2024

    Medical imaging and machine learning are beneficial approaches in physical and forensic anthropology. They are particularly useful for the development of models for sex identification based on bone remains. The present study uses machine learning algorithms to create models for sex estimation based on mandibular measurements. The sample included head CT scans of 239 adult Bulgarians (116 males and 123 females). Three-dimensional coordinates of 45…

  • Sex estimation by Mastoid Triangle using 3D models

    Open Access•Diana Toneva, Diana H Toneva et al.•ARTICLE•HOMO•2019

    which was significantly greater on the right side. The MT dimensions showed sufficient discriminating power for sex estimation among Bulgarians (up to 89%), and the total MT area proved to be the best single sex discriminating trait. The test sample corroborated the usefulness of the MT in sex estimation demonstrating similar or higher overall accuracy rates.

No prominent works on this page.

  • Sex estimation by Mastoid Triangle using 3D models

    Open Access•Diana Toneva, Diana H Toneva et al.•ARTICLE•HOMO•2019

    which was significantly greater on the right side. The MT dimensions showed sufficient discriminating power for sex estimation among Bulgarians (up to 89%), and the total MT area proved to be the best single sex discriminating trait. The test sample corroborated the usefulness of the MT in sex estimation demonstrating similar or higher overall accuracy rates.

  • Sex estimation based on mandibular measurements

    Diana Toneva, Silviya Nikolova et al.•ARTICLE•Anthropologischer Anzeiger•2024

    Medical imaging and machine learning are beneficial approaches in physical and forensic anthropology. They are particularly useful for the development of models for sex identification based on bone remains. The present study uses machine learning algorithms to create models for sex estimation based on mandibular measurements. The sample included head CT scans of 239 adult Bulgarians (116 males and 123 females). Three-dimensional coordinates of 45…

Artificial Intelligence (2 works) · Computer Science (2 works) · Forensic Anthropology and Bioarchaeology Studies (2 works) · Sample (material) (2 works) · Algorithm (1 work) · Biology (1 work) · C4.5 algorithm (1 work) · Decision tree (1 work) · Discriminant (1 work) · Discriminant function analysis (1 work)

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