Search Results - "Le, Van Nhat Thang"

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  1. 1

    Deep Anatomical Context Feature Learning for Cephalometric Landmark Detection by Oh, Kanghan, Oh, Il-Seok, Le, Van Nhat Thang, Lee, Dae-Woo

    “…In the past decade, anatomical context features have been widely used for cephalometric landmark detection and significant progress is still being made…”
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    Journal Article
  2. 2

    Diagnosing oral and maxillofacial diseases using deep learning by Kang, Junegyu, Le, Van Nhat Thang, Lee, Dae-Woo, Kim, Sungchan

    Published in Scientific reports (30-01-2024)
    “…The classification and localization of odontogenic lesions from panoramic radiographs is a challenging task due to the positional biases and class imbalances…”
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  3. 3

    Dentist Job Satisfaction: A Systematic Review and Meta-analysis by Le, Van Nhat Thang, Dang, Minh-Huy, Kim, Jae-Gon, Yang, Yeon-Mi, Lee, Dae-Woo

    Published in International dental journal (01-10-2021)
    “…Because of the heterogeneous nature of the evidence regarding dentists’ job satisfaction, an overview was necessary to examine dentists’ level of job…”
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  4. 4

    Estimating Cervical Vertebral Maturation with a Lateral Cephalogram Using the Convolutional Neural Network by Kim, Eun-Gyeong, Oh, Il-Seok, So, Jeong-Eun, Kang, Junhyeok, Le, Van Nhat Thang, Tak, Min-Kyung, Lee, Dae-Woo

    Published in Journal of clinical medicine (19-11-2021)
    “…Recently, the estimation of bone maturation using deep learning has been actively conducted. However, many studies have considered hand–wrist radiographs,…”
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    Journal Article
  5. 5

    Effectiveness of Human-Artificial Intelligence Collaboration in Cephalometric Landmark Detection by Le, Van Nhat Thang, Kang, Junhyeok, Oh, Il-Seok, Kim, Jae-Gon, Yang, Yeon-Mi, Lee, Dae-Woo

    Published in Journal of personalized medicine (03-03-2022)
    “…Detection of cephalometric landmarks has contributed to the analysis of malocclusion during orthodontic diagnosis. Many recent studies involving deep learning…”
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  6. 6

    Evaluating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM)-Based Quality of Reports Using Convolutional Neural Network for Odontogenic Cyst and Tumor Detection by Le, Van Nhat Thang, Kim, Jae-Gon, Yang, Yeon-Mi, Lee, Dae-Woo

    Published in Applied sciences (01-10-2021)
    “…This review aimed to explore whether studies employing a convolutional neural network (CNN) for odontogenic cyst and tumor detection follow the methodological…”
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    Journal Article
  7. 7

    Prediction Model for Future Success of Early Orthopedic Treatment of Class III Malocclusion by Lee, Mi-So, Le, Van Nhat Thang, Kim, Jae-Gon, Yang, Yeon-Mi, Lee, Dae-Woo

    Published in Children (Basel) (01-02-2023)
    “…This study aimed to identify predictors for successful post-treatment outcomes in early orthopedic class III malocclusion treatment with a facemask and hyrax…”
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  8. 8

    Treatment of pre-eruptive intracoronal resorption: A systematic review and case report by Le, Van Nhat Thang, Kim, Jae-Gon, Yang, Yeon-Mi, Lee, Dae-Woo

    Published in Journal of dental sciences (01-09-2020)
    “…Pre-eruptive intracoronal resorption (PEIR) is usually detected accidently in radiographs. However, treatment modality is still not reported systematically…”
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    Journal Article
  9. 9

    Risk Factors for Early Childhood Caries: An Umbrella Review by Thang Le, Van Nhat, Kim, Jae-Gon, Yang, Yeon-Mi, Lee, Dae-Woo

    Published in Pediatric dentistry (15-05-2021)
    “…The purpose of this umbrella review was to summarize and evaluate the available evidence concerning risk factors for early childhood caries (ECC). Literature…”
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    Journal Article