Jun-Su Jang

发表

Development of an integrated Sasang constitution diagnosis method using face, body shape, voice, and questionnaire information

Jun-Hyeong Do, J. Y. Kim, E. Jang, 2012, BMC Complementary and Alternative Medicine.

Robust 3 D Head Tracking by View-based Feature Point Registration

T. Kanade, Jun-Su Jang, 2010 .

Prediction of Efficacy of Taeumjowi-Tang for Treatment of Metabolic Risk Factors Based on Machine Learning

Taek-Won Ahn, Jun-Hyeong Do, Y. Jeon, 2021, Applied Sciences.

The Concept of Sasang Health Index and Constitution-Based Health Assessment: An Integrative Model with Computerized Four Diagnosis Methods

Jaeuk U. Kim, Jun-Hyeong Do, Y. Jeon, 2013, Evidence-based complementary and alternative medicine : eCAM.

A practical approach to Sasang constitutional diagnosis using vocal features

J. Y. Kim, K. Kim, Boncho Ku, 2013, BMC Complementary and Alternative Medicine.

Development and Evaluation of an Indirect Illumination for Tongue Image Acquisition

C. Jung, Y. Jeon, K. Kim, 2014 .

An exploratory, cross-sectional, prospective observational study protocol

Young Cheol Na, Taeyong Park, Jun-Su Jang, 2021 .

Comparison of concordance between chuna manual therapy diagnosis methods (palpation, X-ray, artificial intelligence program) in lumbar spine

Young Cheol Na, Jun-Su Jang, Jung-Han Lee, 2021, Medicine.

Part Affinity Fields and CoordConv for Detecting Landmarks of Lumbar Vertebrae and Sacrum in X-ray Images

Jun-Su Jang, Chang-Hyeon An, Hyun-Chul Choi, 2022, Sensors.

Robust AAM-based Face Tracking with Occlusion Using SIFT Features

Jun-Su Jang, Sung-Eun Eom, Jun-Su Jang, 2010 .

A Quantification method of Lumbar Vertebral Displacement using Polynomial Curves and Convolutional Neural Networks

Jun-Su Jang, 2021, Journal of Next-generation Convergence Information Services Technology.

Prediction of body mass index status from voice signals based on machine learning for automated medical applications

Keun Ho Kim, Boncho Ku, Jun-Su Jang, 2013, Artif. Intell. Medicine.

Reliability Analysis of Vertebral Landmark Labelling on Lumbar Spine X-ray Images

Boncho Ku, Jun-Su Jang, Jin-Hyun Lee, 2023, Diagnostics.

Comparison of Concordance between Chuna Manual Therapy Diagnostic Methods (Palpation, X-ray, Artificial Intelligence Program) in Lumbar Spine: An Exploratory, Cross-Sectional Clinical Study

Young Cheol Na, Jun-Su Jang, Jung-Han Lee, 2022, Diagnostics.

A Study on Lumbar Vertebrae Landmark Detection using Convolutional Neural Networks

Jun-Su Jang, Jun-Su Jang, 2020, Journal of Next-generation Convergence Information Services Technology.

A Novel Method for Classifying Body Mass Index on the Basis of Speech Signals for Future Clinical Applications: A Pilot Study

Boncho Ku, Jun-Su Jang, Bum Ju Lee, 2013, Evidence-based complementary and alternative medicine : eCAM.

BUU-LSPINE: A Thai Open Lumbar Spine Dataset for Spondylolisthesis Detection

Athita Onuean, Jun-Su Jang, K. Chinnasarn, 2023, Applied Sciences.

Robust 3D Head Tracking by Online Feature Registration

Takeo Kanade, Jun-Su Jang, T. Kanade, 2008 .

Face detection using quantum-inspired evolutionary algorithm

Jong-Hwan Kim, Jun-Su Jang, Kuk-Hyun Han, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

A Study about Reliability of Sasang Constitutional Voice Diagnosis according to Operator Presence

Hyun Jun Park, Jun-Su Jang, Jong-Yeol Kim, 2016 .

Comparison between Diagnostic Results of the Sasang Constitutional Analysis Tool (SCAT) and a Sasang Constitution Expert

Jun-Hyeong Do, Jun-Su Jang, Jang-Woong Kim, 2013 .

The Characteristics of Taeyangin on Body Shape, Face, Voice and Temperament

Jong-hyang Yoo, Eun-su Jang, Jun-Hyeong Do, 2013 .