Results 171 to 180 of about 354,477 (224)

Automated forensic human identification on dental panoramic radiographs using transformer-based detection with supervised metric learning. [PDF]

BMC Oral Health
Choi HR, Lim SH, Han JY, Kim S, Yang S, Kim JE, Huh KH, Lee SS, Yi WJ, Heo MS.   +9 more
europepmc   +1 more source

3D modeling of the frontal sinus as a contribution tool for human identification - a case report. [PDF]

Int J Legal Med
Gabolli S, Oliveira AC, Miamoto P, Villalobos MI.   +3 more
europepmc   +1 more source

Comparative Analysis of Third Molar Segmentation Performance Across Dental Developmental Stages and the 18-Year Age Threshold Using Deep Learning Models. [PDF]

Diagnostics (Basel)
Aşkın MB, Bulut A, Çınarer G.
europepmc   +1 more source

Exploring Senior Dental Students' Readiness and Perceptions of Artificial Intelligence in Dentistry: Insights From a Cross-Sectional Study. [PDF]

Int J Dent
Hamonari NH.
europepmc   +1 more source

Modernizing Forensic Anthropology: A Data-driven Pipeline for Human Identification and Profiling. [PDF]

Eur J Dent
Riaz S, Bukhari KMA, Haque S, Atif S, Zafar MS, Syed S.   +5 more
europepmc   +1 more source

Can vision-language models estimate patient age? evidence from panoramic radiographs. [PDF]

Clin Oral Investig
Silva TP, Fagundes FB, Andrade-Bortoletto MF, Oliveira-Santos C, Freitas DQ, Oliveira ML.   +5 more
europepmc   +1 more source

Assessment of the coming of age using the Caggiano method based on Demirijian stages and the Cameriere method applied to third molars in a Brazilian population. [PDF]

J Forensic Odontostomatol
da Silva MC, Dos Santos Moreira I, Jacometti V, Magri LV, Alves Silva RH.   +4 more
europepmc   +1 more source

Forensic dentistry.

SADJ : journal of the South African Dental Association = tydskrif van die Suid-Afrikaanse Tandheelkundige Vereniging, 2004
openaire   +1 more source