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Gohain, Meghna and Asif, Muhammad Khan and Nambiar, Phrabhakaran and Mohd Noor, Nora Sakina and Hidayah Reduwan, Nor and Ibrahim, Norliza (2024) Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images. Legal Medicine, 66. ISSN 1344-6223, DOI https://doi.org/10.1016/j.legalmed.2024.102391.
Bunyarit, Safar Sumit and Nambiar, Phrabhakaran and Naidu, Murali and Asif, Muhammad Khan and Poh, Rozaida Yuen Ying (2022) Dental age estimation of Malaysian Indian children and adolescents: Applicability of Chaillet and Demirjian's modified method using artificial neural network. Annals of Human Biology, 49 (3-4). pp. 192-199. ISSN 0301-4460, DOI https://doi.org/10.1080/03014460.2022.2105396.
Asif, Muhammad Khan and Ibrahim, Norliza and Khan, Iqra Muhammad and Khan, Shah Salman and Nambiar, Phrabhakaran (2022) Dental age estimation of Malaysian children: A comparison of two-dimensional versus three-dimensional imaging analyses of the developing root apices. Annals of Human Biology, 49 (2). pp. 109-115. ISSN 0301-4460, DOI https://doi.org/10.1080/03014460.2022.2075034.
Bunyarit, Safar Sumit and Nambiar, Phrabhakaran and Naidu, Murali K. and Ying, Rozaida Poh Yuen and Asif, Muhammad Khan (2021) Dental age estimation of Malay children and adolescents: Chaillet and Demirjian's data improved using artificial multilayer perceptron neural network. Pediatric Dental Journal, 31 (2). pp. 176-185. ISSN 0917-2394, DOI https://doi.org/10.1016/j.pdj.2021.06.002.
Wilson, Yvonne Padmini and Nambiar, Phrabakaran and Yaacob, Hashim and Asif, Muhammad Khan (2021) Age estimation from developing third molars. The Medico-Legal Journal, 89 (4). pp. 254-259. ISSN 00258172, DOI https://doi.org/10.1177/00258172211052930.
Bunyarit, Safar Sumit and Jayaraman, Jayakumar and Naidu, Murali K. and Yuen Ying, Rozaida Poh and Nambiar, Phrabhakaran and Asif, Muhammad Khan (2020) Dental age estimation of Malaysian Chinese children and adolescents: Chaillet and Demirjian's method revisited using arti?cial multilayer perceptron neural network. Australian Journal of Forensic Sciences, 52 (6). pp. 681-698. ISSN 00450618, DOI https://doi.org/10.1080/00450618.2019.1567810.
Teh, Ng Heng Khiang and Sivarajan, Saritha and Asif, Muhammad Khan and Ibrahim, Norliza and Wey, Mang Chek (2020) Distribution of mandibular trabeculae bone volume fraction in relation to different MOP intervals for accelerating orthodontic tooth movement: A randomized controlled trial. Angle Orthidontist, 90 (6). pp. 774-782. ISSN 0003-3219, DOI https://doi.org/10.2319/032820-227.1.
Asif, Muhammad Khan and Ibrahim, Norliza and Al-Amery, Samah M. and Muhammad, Aso Muhammad Ali and Khan, Asfand Ali and Nambiar, Phrabhakaran (2020) A novel method of age estimation in children using three-dimensional surface area analyses of maxillary canine apices. Legal Medicine, 44. ISSN 1344-6223, DOI https://doi.org/10.1016/j.legalmed.2020.101690.
Muhammad, Aso Muhammad Ali and Ibrahim, Norliza and Ahmad, Rohana and Asif, Muhammad Khan and Radzi, Zamri and Zaini, Zuraiza Mohamad and Razak, Hairil Rashmizal Abdul (2020) Effect of reconstruction parameters on cone beam CT trabecular bone microstructure quantification in sheep. BMC Oral Health, 20. p. 48. ISSN 1472-6831, DOI https://doi.org/10.1186/s12903-020-1035-7.
Asif, Muhammad Khan and Nambiar, Phrabhakaran and Mani, Shani Ann and Ibrahim, Norliza and Khan, Iqra Muhammad and Lokman, Najihah (2019) Dental age estimation in Malaysian adults based on volumetric analysis of pulp/tooth ratio using CBCT data. Legal Medicine, 36. pp. 50-58. ISSN 1344-6223, DOI https://doi.org/10.1016/j.legalmed.2018.10.005.
Asif, Muhammad Khan and Nambiar, Phrabhakaran and Mani, Shani Ann and Ibrahim, Norliza and Khan, Iqra Muhammad and Sukumaran, Prema (2018) Dental age estimation employing CBCT scans enhanced with Mimics software: Comparison of two different approaches using pulp/tooth volumetric analysis. Journal of Forensic and Legal Medicine, 54. pp. 53-61. ISSN 1752-928X, DOI https://doi.org/10.1016/j.jflm.2017.12.010.
