Artificial intelligence -based modeling and comparative evaluation of craniofacial soft tissue and subcutaneous fat thickness using ct imaging for forensic identification in a northwestern indian population

Wilkinson C (2010) Forensic Facial Reconstruction. Cambridge University Press, Cambridge

Google Scholar 

Taylor KT (2000) Forensic Art and Illustration. CRC

De Greef S, Claes P, Vandermeulen D, Mollemans W, Suetens P, Willems G (2006) Large-scale in vivo Caucasian facial soft tissue thickness database. Forensic Sci Int 159:S126–S146

Article  PubMed  Google Scholar 

Fourie Z, Damstra J, Gerrits PO, Ren Y (2011) Evaluation of anthropometric accuracy using 3D scanning systems. Forensic Sci Int 207:127–134

Article  PubMed  Google Scholar 

Claes P, Vandermeulen D, De Greef S, Willems G, Clement JG, Suetens P (2010) Computerized craniofacial reconstruction: Review. Forensic Sci Int 201:138–145

Article  PubMed  Google Scholar 

Wells JC (2007) Sexual dimorphism of body composition. Best Pract Res Clin Endocrinol Metab 21:415–430

Article  PubMed  Google Scholar 

Wysocki J, Reymond J, Skarżyński H, Wróbel B (2006) Skull morphology variation. Folia Morphol 65:301–308

CAS  Google Scholar 

Stephan CN, Simpson EK (2008) Facial soft tissue depths: review. J Forensic Sci 53:1257–1272

Article  PubMed  Google Scholar 

Lamba n (2025) Changing urban realities and women’s vulnerability: a metropolitan analysis of crimes against women using crime in India reports, 2021–2023. J South Asian Res 3(1):205–226

Google Scholar 

Shaw RB, Katzel EB, Koltz PF et al (2011) Aging of the facial skeleton. Plast Reconstr Surg 127:374–383

Article  CAS  PubMed  Google Scholar 

Claes P, Hill H, Shriver MD (2014) DNA-based facial composites. Forensic Sci Int Genet 13:208–216

Article  CAS  PubMed  Google Scholar 

Dakhil N, Abdulazeez A (2024) Face recognition based on deep learning: a comprehensive review. Indones J Comput Sci 13(3):3779–3797. https://doi.org/10.33022/ijcs.v13i3.4037

Article  Google Scholar 

Thurzo A, Kosnáčová HS, Kurilová V, Kosmeľ S, Beňuš R, Moravanský N, Kováč P, Kuracinová KM, Palkovič M, Varga I (2021) Use of advanced artificial intelligence in forensic medicine, forensic anthropology and clinical anatomy. In: Healthcare, vol. 9, no. 11. MDPI, p 1545

Vishal KV, Ahuja V, Mehta S, Dogra A, Tejani GG et al (2025) AI-augmented 3D craniofacial reconstruction for enhanced surgical planning: a novel integration of depth-augmented vision transformers and MeshCNN for structural fidelity. Egypt Inf J 32:100810. https://doi.org/10.1016/j.eij.2025.100810

Article  Google Scholar 

Siwan D, Krishan K, Sharma V, Garg AK (2025) A novel approach of developing machine learning-based models for the prediction of facial dimensions from dental parameters. Sci Rep 15:41047

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ghosh PP, Zaki MJ et al (2021) Machine learning in medical imaging: superiority over traditional statistical approaches. J Med Syst 45(2):1–12

Google Scholar 

Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K et al (2019) A guide to deep learning in healthcare. Nat Med 25(1):24–29

Article  CAS  PubMed  Google Scholar 

Preuß S, Becker S, Rosenfelder J, Labudde D (2025) Computer-aided facial soft tissue reconstruction with computer vision: a modern approach to identifying unknown individuals. Appl Sci 15(11):6086

Article  Google Scholar 

Qiu T, Hu C, Zhang J, Wu F, Wang H, Liu X et al (2025) Attention-based deep learning for 3D craniofacial soft tissue landmark detection and diagnosis in orthodontics. Sci Rep 16(1):729. https://doi.org/10.1038/s41598-025-30383-w

Article  CAS  PubMed  PubMed Central  Google Scholar 

Vishal KV, Ahuja V, Mehta S, Dogra A, Tejani GG et al (2025) AI-augmented 3D craniofacial reconstruction for enhanced surgical planning: A novel integration of depth-augmented vision transformers and MeshCNN for structural fidelity. Egypt Inf J 32:100810. https://doi.org/10.1016/j.eij.2025.100810

Article  Google Scholar 

Shin HC, Roth HR, Gao M, Lu L, Xu Z, Nogues I et al (2016) Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics, and transfer learning. IEEE Trans Med Imaging 35(5):1285–1298

Article  PubMed  PubMed Central  Google Scholar 

Litjens G, Kooi T, Bejnordi BE, Setio AAA, Ciompi F, Ghafoorian M et al (2017) A survey on deep learning in medical image analysis. Med Image Anal 42:60–88

Article  PubMed  Google Scholar 

Liu F, Jang H, Kijowski R, Bradshaw T, McMillan AB (2018) Deep learning MR imaging-based attenuation correction for PET/MR imaging. Radiology 286(2):676–684

Article  PubMed  Google Scholar 

Müller D, Soto-Rey I, Kramer F (2022) Towards a guideline for evaluation metrics in medical image segmentation. BMC Res Notes 15:210

Article  PubMed  PubMed Central  Google Scholar 

Ker J, Wang L, Rao J, Lim T (2018) Deep learning applications in medical image analysis. IEEE Access 6:9375–9389

Article  Google Scholar 

Michael A, Reji A, Raju A, Varghese SM, Rasmi PS (2026) Skull2Face: Anatomy-guided 3D facial reconstruction system using deep learning and tissue depth modeling. Int J Comput Appl 187(80):45–49

Google Scholar 

Guerra R, Martos R, Ibáñez Ó, Valsecchi A, Bermejo E, De Luca S et al (2025) international validation study of AI-guided craniofacial superimposition in a contemporary population sample. Forensic Sci Int 377:112628. https://doi.org/10.1016/j.forsciint.2025.112628

Article  PubMed  Google Scholar 

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