Shin-Jae Lee

yonsei university health system

H指数:38

被引数:4,557

个人简介

暂无内容

教育背景

暂无内容

工作经历

暂无内容

荣誉奖项

暂无内容

Evaluation of automated photograph-cephalogram image integration using artificial intelligence models

使用人工智能模型评估自动照片-脑电图图像集成

ANGLE ORTHODONTIST

IF3.2

2024-08-210

Synergy between Laminin-Derived Elastin-like Polypeptides (LELPs) Optimizes Cell Spreading

BIOMACROMOLECULES

IF5.4

2024-05-300

PRE

Orthodontic treatment outcome predictive performance differences between artificial intelligence and conventional methods

人工智能与常规方法之间的正畸治疗结果预测性能差异

ANGLE ORTHODONTIST

IF3.2

2024-05-103

Does artificial intelligence predict orthognathic surgical outcomes better than conventional linear regression methods?

人工智能是否比传统的线性回归方法更好地预测正颌手术结果？

ANGLE ORTHODONTIST

IF3.2

2024-05-104

East Asian and Southern European craniofacial class III phenotype: two sides of the same coin?

CLINICAL ORAL INVESTIGATIONS

IF3.1

2024-01-092

PRE

Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors

IEEE ACCESS

IF3.6

2024-01-014

Comparison of individualized facial growth prediction models based on the partial least squares and artificial intelligence

基于偏最小二乘和人工智能的个性化面部生长预测模型比较

ANGLE ORTHODONTIST

IF3.2

2023-11-029

Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method

基于多元偏最小二乘法的个性化面部生长预测模型评价

ANGLE ORTHODONTIST

IF3.2

2022-08-1811

Hydra-Elastin-like Polypeptides Increase Rapamycin Potency When Targeting Cell Surface GRP78

BIOMACROMOLECULES

IF5.4

2022-07-055

Assessment of reliability in orthodontic literature: A meta-epidemiological study

ANGLE ORTHODONTIST

IF3.2

2022-01-314

Evaluation of an automated superimposition method based on multiple landmarks for growing patients

基于生长患者多个标志的自动叠加方法的评估

ANGLE ORTHODONTIST

IF3.2

2021-10-049

Evaluation of automated cephalometric analysis based on the latest deep learning method

基于最新深度学习方法的自动化头影测量分析评估

ANGLE ORTHODONTIST

IF3.2

2021-01-1262

How much deep learning is enough for automatic identification to be reliable? A cephalometric example

ANGLE ORTHODONTIST

IF3.2

2020-07-1640

Evaluation of an automated superimposition method for computer-aided cephalometrics

ANGLE ORTHODONTIST

IF3.2

2020-02-0312

OAAI

Automated identification of cephalometric landmarks: Part 2-Might it be better than human?

头部测量标志的自动识别: 第2部分-可能比人类更好吗？

ANGLE ORTHODONTIST

IF3.2

2019-07-22153

OAAI

Automated identification of cephalometric landmarks: Part 1-Comparisons between the latest deep-learning methods YOLOV3 and SSD

头部测量标志的自动识别: 第1部分-最新深度学习方法YOLOV3和SSD之间的比较

ANGLE ORTHODONTIST

IF3.2

2019-07-08149

OAAI

Predicting soft tissue changes after orthognathic surgery: The sparse partial least squares method

预测正颌术后软组织变化: 稀疏偏最小二乘法

ANGLE ORTHODONTIST

IF3.2

2019-05-3123

OAAI

A sparse principal component analysis of Class III malocclusions

ANGLE ORTHODONTIST

IF3.2

2019-03-2110

OAAI

Modern trends in Class III orthognathic treatment: A time series analysis

ANGLE ORTHODONTIST

IF3.2

2016-07-1936

OAAI

Testing a better method of predicting postsurgery soft tissue response in Class II patients: A prospective study and validity assessment

ANGLE ORTHODONTIST

IF3.2

2014-10-0215

OAAI

Shin-Jae Lee

个人简介

教育背景

工作经历

荣誉奖项

研究方向