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3D surface imaging technology for objective automated assessment of facial interventions: A systematic review
Affiliation:1. Department of Plastic and Reconstructive Surgery, Erasmus MC, University Medical Centre Rotterdam, Office NA-2214, Dr. Molewaterplein 40, Rotterdam 3015 GD, the Netherlands;2. Department of Epidemiology Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands;3. Department Radiology and Nuclear Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands;1. Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, IR Iran;2. Assistant Professor of Biostatistics Department of Biostatistics and Epidemiology, School of Health and Nutrition Lorestan University of Medical Sciences, Khorramabad, IR Iran;3. Associate professor of Anatomical Sciences Department Lorestan University of medical sciences, Khorramabad, Lorestan University of Medical Sciences, Anooshirvan Rezaei Square, Khorramabad, Lorestan, P.O Box; 6813833946, IR Iran;1. Division of Plastic Surgery, Yale School of Medicine, 330 Cedar St, Boardman Building, New Haven, CT 06519, United States;2. Division of Plastic Surgery, Stanford University School of Medicine, Stanford, CA, United States;1. Department of Plastic and Reconstructive Surgery, Kaplan Medical Center, Rehovot, Israel;2. Department of Plastic Surgery, Meir Medical Center, Kfar Saba, Israel;3. The Faculty of Medicine, The Hebrew University, Jerusalem, Israel;4. The Department of Breast Surgery, Hadassah Medical Center, Jerusalem, Israel;1. Department of Ultrasound, West China School of Public Health and West China Fourth Hospital, Sichuan University;2. Department of Head and Neck Oncology, West China Hospital of Stomatology, State Key Laboratory of Oral Diseases, Sichuan University
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