آنالیز سفالومتری بافت نرم چهره مبتنی بر تصاویر MRI جهت کاربرد در جراحی‌های بازسازی چهره

[1] Attractiveness of the Face,” European journal of orthodontics, vol. 38, no. 6, pp. 602-608, 2016.  

[2] S. Kaya, B. Turk, et al, “Assessment of facial analysis measurement by Golden Proportion,” Brazilian journal of otorhinolaryngology, vol. 85, no. 4, pp. 494-501, 2019.

[3] E. Kaipainen, et al, “Regional Facial Asymmetries and Sh. Liu, et al, “Advances in computational facial attractiveness methods,” Multimedia Tools and Applications, vol. 75, no. 23, pp. 16633-16663, 2016.

[4] Gode, Sercan, et al, “Photogrammetric analysis of soft tissue facial profile in Turkish rhinoplasty population,” Aesthetic plastic surgery, vol. 35, no. 6, pp. 1016-1021, 2011.

[5] Malkoç, Sıddık, et al, “Angular photogrammetric analysis of the soft tissue facial profile of Turkish adults,” The European Journal of Orthodontics, vol. 31, no. 2, pp.174-179, 2009.

[6] Fortes, Helena Nunes da Rocha, et al, “Photometric analysis of esthetically pleasant and unpleasant facial profile,” Dental press journal of orthodontics, vol. 19, no. 2, pp. 66-75, 2014.

[7] Fariaby, Javad, et al, “Photographic analysis of faces of 20-year-old students in Iran,” British Journal of Oral and Maxillofacial Surgery, vol. 44, no. 5, pp. 393-396, 2006.

[8] Ukoha, U., et al, “Angular craniofacial pho-tometric analysis of the facial profile of Igalas in Nigeria,” Anthropol Open J, 2017.

[9] Tang, Xin, et al, “Facial landmark detection by semi-supervised deep learning", Neurocomputing, vol. 297, pp. 22-32, 2018.

[10] Park, Byung-Hwa, et al, “Face alignment using a deep neural network with local feature learning and recurrent regression,” Expert Systems with Applications, vol. 89, pp. 66-80, 2017.

[11] Wu, Yue, et al, “Facial landmark detection with tweaked convolutional neural networks,” IEEE transactions on pattern analysis and machine intelligence, vol. 40, no. 12, pp. 3067-3074, 2017.

[12] Mala, Pavla Zedni, et al, “How tight is the relationship between the skeletal and soft-tissue facial profile: A geometric morphometric analysis of the facial outline,” Forensic science international, Vol. 292, pp. 212-223, 2018.

[13] Beugre, Jean-Bertin, et al, “Angular photogrammetric analysis and evaluation of facial esthetics of young Ivorians with normal dental occlusion,” International orthodontics, Vol. 15, pp. 25-39, 2017.

[14] Ajami, et al, “Angular photogrammetric analysis of the soft tissue facial profile of Iranian young adults,” J. Orthod, 2015.

[15] Shamsi, Mousa, et al, “Automatic Facial Skin Segmentation Based on EM Algorithm under Varying Illumination,” IEICE transactions on information and systems, vol. 91, no. 5, pp. 1543-1551, 2008.

[16] M. Bakhshi, H. Hassanpour, M. Fateh, “Extraction of Spatial-Frequency Features for Facial Image Retrieval from Large Image Databases,” Journal of Electrical Engineering, University of Tabriz, vol. 48, no. 2, pp. 509-517, 2018.

[17] Sadeghi, F. Ayatollahi, A. Asadollah Raei, “Facial Expression Recognition Using Geometric Normalization and Dual-Tree Mixed Wavelet Transform,” Journal of Electrical Engineering, University of Tabriz, vol. 45, no. 3, pp. 79-87, 2015.

[18] Pujol, Francisco A., et al, “Face detection based on skin color segmentation using fuzzy entropy,” Entropy, vol. 19, no. 1, 2017.

[19] Gorbenko, Iryna, et al, “Automatic segmentation of facial soft tissue in MRI data based on non-rigid normalization in application to soft tissue thickness measurement,” Biomedical Signal Processing and Control, 56, 2020.

[20] Salazar, Augusto, et al, “Feature extraction & lips posture detection oriented to the treatment of CLP children,” 2006 International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006.

[21] Vučinić, Predrag, et al, “Automatic landmarking of cephalograms using active appearance models,” The European Journal of Orthodontics, vol. 32, no. 3, pp. 233-241, 2010.

[22] Bakhshali, Mohamad Amin, and Mousa Shamsi, “Estimating facial angles using Radon transform,” Turkish Journal of Electrical Engineering & Computer Sciences, vol. 23, no. 3, 2015.

[23] Fahmi Jafargholkhanloo, Ali, and Shamsi, Mousa, “Estimation of Ear Parameters Applicable to Otoplasty Surgery,” Journal of Soft Computing and Information Technology, 9, no. 1, pp. 36-45, 2020.

[24] Gerós, Ana, et al, “Facegram–Objective quantitative analysis in facial reconstructive surgery,” Journal of biomedical informatics, vol. 61, pp. 1-9, 2016.

[25] Wang, Shumeng, et al, “Automatic analysis of lateral cephalograms based on multiresolution decision tree regression voting,” Journal of Healthcare Engineering

[26] Ozkul, Tarik, and Murat Haluk Ozkul, “Computer simulation tool for rhinoplasty planning,” Computers in Biology and Medicine, vol. 34, no. 8, pp. 697-718, 2004.

[27] Zhang, David, et al, “Quantitative analysis of human facial beauty using geometric features,” Pattern Recognition, vol. 44, no. 4, pp. 940-950, 2011.

[28] Liu, Yujie, et al, “A physiognomy based method for facial feature extraction and recognition,” Journal of Visual Languages & Computing, vol. 43, pp. 103-109, 2017.

[29] Fan, Yang-Yu, et al, “Label distribution-based facial attractiveness computation by deep residual learning,” IEEE Transactions on Multimedia, vol. 20, no. 8, pp. 2196-2208, 2017.

[30] Chen, Fangmei, et al, “Data-driven facial beauty analysis: prediction, retrieval and manipulation,” IEEE Transactions on Affective Computing, vol. 9, no. 2, pp. 205-216, 2016.

[31] Rhazi, Manal El, et al, “Facial beauty analysis by age and gender,” International Journal of Intelligent Systems Technologies and Applications, vol. 18, no. 1-2, pp. 179-203, 2019.

[32] De Marsico, Maria, et al, “Robust face recognition after plastic surgery using region-based approaches,” Pattern Recognition, vol. 48, no. 4, pp. 1261-1276, 2015.

[33] Sable, Archana Harsing, et al, “Recognition of plastic surgery faces and the surgery types: An approach with entropy based scale invariant features,” Journal of King Saud University-Computer and Information Sciences, vol. 31, no. 4, pp. 554-560, 2019.

[34] Ali Fahmi Jafargholkhanloo, and Mousa Shamsi, “Quantitative Analysis of Facial Soft Tissue Using Weighted Cascade Regression Model Applicable for Facial Plastic Surgery,” Signal Processing: Image Communication, pp. 117086, 2023.

[35] Ali Fahmi Jafargholkhanloo, and Mousa Shamsi, “Cephalometry analysis of facial soft tissue based on two orthogonal views applicable for facial plastic surgeries,” Multimedia Tools and Applications, vol. 82, no. 20, pp. 1-26, 2023.

[36] Sameer, F. O., et al, “A new algorithm of modified binary particle swarm optimization based on the Gustafson-Kessel for credit risk assessment,” Neural Computing and Applications, vol. 31, pp. 337-346, 2017.

[37] Abualigah, L, et al, “Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer,” Expert Systems with Applications, vol. 191, pp. 116158, 2022.

[38] Dollar, et al, “Fast Feature Pyramids for Object Detection,” IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 36, no. 8, pp. 1532-1545, 2014.

[39] Yuan, J., et al, “Pedestrian detection using integrated aggregate channel features and multitask cascaded convolutional neural-network-based face detectors,” Sensors, vol. 22, no. 9, pp. 3568, 2022

[40] Yang, Bin, et al, “Aggregate channel features for multi-view face detection,” In IEEE international joint conference on biometrics, pp. 1-8. IEEE, 2014.

[41] Verma, Ankit, et al, “Pedestrian detection via mixture of CNN experts and thresholded aggregated channel features,” In Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 163-171. 2015.

[42] Mukhopadhyay, Priyanka, and Bidyut B. Chaudhuri, “A survey of Hough Transform,” Pattern Recognition, 48, no. 3, pp. 993-1010, 2015.

[43] IXI Available from: https://brain-development.org/ixi-dataset/.https://brain-development.org/ixi-dataset/

[44] Pattanaik, S., and Pathuri, S, “Establishment of aesthetic soft tissue norms for Southern India population: A photogrammetric study,” Orthodontic Journal of Nepal, vol. 4, no. 1, pp. 29-35., 2014.

[45] Naini, F. B., et al, “Aesthetic impact of the upper component of the nasolabial angle: a quantitative investigation,” Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology, vol. 27, no. 4, pp. 470-476., 2015.

[46] Eliakim-Ikechukwu, C., et al, “Facial aesthetic angles of the Ibo and Yoruba ethnic groups of Nigeria,” IOSR J Pharm Biol Sci, vol. 5, pp. 14-17., 2013.

[47] Viola, P., and M. J. Jones, ‘Rapid Object Detection using a Boosted Cascade of Simple Features.,” Proceedings of the 2001 IEEE Computer Society Conference, vol. 1, pp. I-511–I-518, 2001.

[48] Ojala, T, et al, “Multiresolution Gray-scale and Rotation Invariant Texture Classification With Local Binary Patterns,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971–987, 2002.

[49] Dalal, N., and B. Triggs, “Histograms of Oriented Gradients for Human Detection,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 886–893, 2005.

[50] Kennedy, James, and Russell Eberhart, “Particle swarm optimization,” Proceedings of ICNN'95-International Conference on Neural Networks, vol. 4. IEEE, 1995.‏

[51] Askarzadeh, “A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm,” Computers and Structures, vol. 169, pp. 1-12, 2016.

[52] Mirjalili, A. Lewis, “The Whale Optimization Algorithm,” Advances in Engineering Software, vol. 92, pp. 51-67, 2016.