C, Ç., M, O., & D, Ç. (2026). A two-stage deep learning approach for forensic age and sex determination from hand-wrist radiographs: An anatomical pose estimation and multi-task model. International journal of legal medicine, 140(4), 2207. https://doi.org/10.1007/s00414-026-03729-w
Chicago Style (17th ed.) CitationC, Çatak, Ocak M, and Çolak D. "A Two-stage Deep Learning Approach for Forensic Age and Sex Determination from Hand-wrist Radiographs: An Anatomical Pose Estimation and Multi-task Model." International Journal of Legal Medicine 140, no. 4 (2026): 2207. https://doi.org/10.1007/s00414-026-03729-w.
MLA (9th ed.) CitationC, Çatak, et al. "A Two-stage Deep Learning Approach for Forensic Age and Sex Determination from Hand-wrist Radiographs: An Anatomical Pose Estimation and Multi-task Model." International Journal of Legal Medicine, vol. 140, no. 4, 2026, p. 2207, https://doi.org/10.1007/s00414-026-03729-w.