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Sanghee (Sunni) Lee, DDS, MSc, MS

Sanghee (Sunni) Lee

Assistant Professor, Orthodontics

slee1119@uw.edu

Box: 357446

Background

Dr. Sanghee Lee is an Assistant Professor at the University of Washington and is currently teaching and supervising resident clinics and mentoring residents in their research activities. Dr. Lee earned her DDS degree and Master of science in science degree in Orthodontics from Yonsei University in South Korea. Then she received her orthodontic training and Master of Science in science at the Ohio State University. She is a Diplomate of the Korean Board of Orthodontists and the American Board of Orthodontists. Dr. Lee’s research interest is the application of Artificial intelligence in Orthodontics and advances in clear aligner therapy.

Publications

  • Predicting Invisalign TreatmentTime Using MachineLearning. Angle Orthod. in press, 2023
  • Murphy SJ, Lee S,Scharm JC, et al. Comparison of maxillary anteriortooth movement betweenInvisalign and fixed appliances. Am J Orthod Dentofacial Orthop. 2023;S0889-5406(23)00032-X.
  • Lee S, Wu TH, Deguchi T, et al. Assessmentof malalignment factorsrelated to the Invisalign treatment time aided by automated imaging processes. Angle Orthod. 2023;93:144–150.
  • Mitchell B, Liu J, Lee S, et al. Quantitative evaluation of trainingmethod in placingminiscrews in orthodontic graduate program. Prog Orthod. 2022;23(1):33.
  • Ferraro JM, Falter J, Lee S, et al. Accuracyof three-dimensional printedmodels derived from cone-beam computed tomography. Angle Orthod. 2022;10.2319/021122-128.1.
  • Watanabe K, Lee S, Lee D, Zheng F, Kyung HM, Kim DG, Deguchi T, Authors’response. Am J Orthod Dentofacial Orthop. 2022 Aug;162(3):288-289.
  • Watanabe K, Lee S, Lee D, Zheng F, Kyung HM, Kim DG, Deguchi T. Evaluationof clinical parameters for the stability of 2 types of miniscrews. Am J Orthod Dentofacial Orthop. 2022 Mar;161(3):437-444.
  • Etemad L, Wu TH, Heiner P, Liu J, Lee S, Chao WL, Zaytoun ML, Guez C, Lin FC, Jackson CB, Ko CC. Machine learning from clinical data sets of a contemporary decision for orthodontic tooth extraction. Orthod Craniofac Res. 2021 Dec;24 Suppl 2:193-200. doi: 10.1111/ocr.12502.
  • Wu TH, Lian C, Lee S, Pastewait M, Piers C, Liu J, Ko CC. Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans. IEEE Transactions on Medical Imaging,2022 Nov; 41(11) 3158-66. doi: 10.1109/TMI.2022.3180343.
  • Lee S, Hwang S, Jang W, Choi YJ, Chung CJ, Kim KH. Assessmentof lower incisoralveolar bone width using cone- beam computed tomography imagesin skeletal ClassIII adults of different verticalpatterns. Korean J Orthod. 2018 Nov;48(6):349-356. doi: 10.4041/kjod.2018.48.6.349.