New Research Publications

2015

  1. Baillie LJ, Ali Mirijali S, Niven BE, Blyth P, Dias GJ. Ancestry and BMI influences on facial soft tissue depths for a cohort of chinese and caucasoid women in Dunedin, New Zealand. Journal of Forensic Sciences 2015;60(5):1146-54.

  2. Baillie LJ, Muirhead JC, Blyth P, Niven BE, Dias GJ. Position effect on facial soft tissue depths: a sonographic investigation. Journal of Forensic Sciences 2015;61(S1):S60-S70.

  3. Briers N, Briers TM, Becker PJ, Steyn M. Soft tissue thickness values for Black and Coloured South African children aged 6 to 13 years. Forensic Science International 2015;252:188.e1-.e10.

  4. Chung JH, Hsu HT, Chen HT, Huang GS, Shaw KP. A CT-scan database for the facial soft tissue thickness of Taiwan adults. Forensic Science International 2015;253:132.e1-.e11.

  5. Damas S, Wilkinson C, Kahana T, Veselovskaya E, Abramov A, Jankauskas R, et al. Technical Note: Study on the performance of different craniofacial superimposition approaches (II): best practices proposal,. Forensic Science International 2015;257:504-8.

  6. Hwang H-S, Choe S-Y, Hwang J-S, Moon D-N, Hou Y, Lee W-J, et al. Reproducibility of Facial Soft Tissue Thickness Measurements Using Cone-Beam CT Images According to the Measurement Methods. Journal of Forensic Sciences 2015;60(4):957-65.

  7. Jayaprakash PT. Conceptual transitions in methods of skull-photo superimposition that impact the reliability of identification: a review. Forensic Science International 2015;246:110-21.

  8. Jayaprakash PT, Hashim N, Yusop RAAM. Relevance of Whitnall's tubercle and auditory meatus in diagnosing exclusions during skull-photo superimposition. Forensic Science International 2015;253:131.e1-.e10

  9. Maltais-Lapointe G, Lynnerup N, Hoppa RD. Validation of the new interpretation of Gerasimov’s nasal projection method for forensic facial approximation using CT data. Journal of Forensic Sciences 2015;61(S1):S193-S200.

  10. Marin F, Mansour KB, Demeter F, Frey P. Displacement of facial soft tissues in upright versus supine positions. Computer Methods in Biomechanics and Biomedical Engineering 2015: Aug, http://dx.doi.org.ezproxy.library.uq.edu.au/10.1080/10255842.2015.1069590.

  11. Masoume J, Farzad E, Mohaddeseh MM. Facial soft tissue thickness in North-West of Iran. Advances in Bioscience and Clinical Medicine 2015;3(1):29-34.

  12. Stephan C. Facial approximation – from facial reconstruction synonym to face prediction paradigm. Journal of Forensic Sciences 2015;60(3):566-71.

  13. Stephan C. Perspective distortion in craniofacial superimposition: logarithmic decay curves mapped mathematically and by practical experiment. Forensic Science International 2015;257:e1-e8.

  14. Stephan CN. Accuracies of facial soft tissue depth means for estimating ground truth skin surfaces in forensic craniofacial identification. International Journal of Legal Medicine 2015;129:877-88.

  15. Stephan C. The application of the central limit theorem and the law of large numbers to facial soft tissue depths: T-Table robustness and trends since 2008. Journal of Forensic Sciences 2014;59(5):454-62.

  16. Stephan CN, Munn L, Caple J. Facial soft tissue thicknesses: noise, signal and P. Forensic Science International 2015;257:114-22.

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