Deep-Asymmetry: Asymmetry Matrix Image for Deep Learning Method in Pre-Screening Depression
□ Min Kang, Hyunjin Kwon, Jin-Hyeok Park, Seokhwan Kang, and Youngho Lee
■ Sensors, 2020

Stacking Ensemble Technique for Classifying Breast Cancer
□ Hyunjin Kwon, Jinhyeok Park, and Youngho Lee
■ Journal of the Healthcare Informatics Research25(4), 2019, 283-288

A2M(Alpha Asymmetry matrix) model for classifying Depressive Disorder Patient
□ Hyunjin Kwon, Jinhyeok Park, Wonjun Park, Seokhwan Kang, and Youngho Lee
■ Korean Society of Medical Informatics, 2019

Deep Learning based Pre-screening method for Depression with Imagery Frontal EEG Channels
□ Hyunjin Kwon, Seokhwan Kang, Wonjun Park, Jinhyeok Park, and Youngho Lee
■ 2019 International Conference on Information and Communication Technology Convergence (ICTC), pp. 378-380, 2019

Imagery Signal-Based Deep Learning Method for Prescreening Major Depressive Disorder
□ Hyunjin Kwon, Jinhyeok Park, Seokhwan Kang, and Youngho Lee
■ Cognitive Computing – ICCC 2019. Lecture Notes in Computer Science, vol 11518, 2019

The effect of binaural beat-based audiovisual stimulation on brain waves and concentration
□ Jinhyeok Park, Hyunjin Kwon, Seokhwan Kang, and Youngho Lee
■ 2018 International Conference on Information and Communication Technology Convergence (ICTC), pp. 420-423, 2018

Identify the Important Features by Random Forest Model when Deciding the Adjuvant Chemotherapy for Colorectal Cancer Patients
□ Hyunjin Kwon, Jinhyeok Park, Youngho Lee, and Jeong-Heum Baek
■ Seoul international symposium of surgical oncology, 2020. – Awarded

Improving Clinical Decision Support System by Analyzing Prognostic Factors of Colorectal Cancer Stage IV Patients
□ Hyunjin Kwon, Youngho Lee, Jinhyeok Park, Sunjin Sym, and Jeong-Heum Baek
■ American Medical Informatics Association, 2019

Improving Clinical Decision Support System by Analyzing Risk factors of Recurrence of Colorectal Cancer patients
□ Hyunjin Kwon, Youngho Lee, Jinhyeok Park, Sunjin Sym, and Jeong-Heum Baek
■ Korean Society of Artificial Intelligence in Medicine, 2019. – Awarded

Evaluation of Diagnosis Model for Colorectal Cancer by Feature Selection Method: Using PLCO Dataset
□ Jinhyeok Park, Youngho Lee, Hyunjin Kwon, Sunjin Sym, and Jeong-Heum Baek
■ Seoul international symposium of surgical oncology, 2019

An Ensemble Algorithm Model for the Diagnosis of Colorectal Cancer Based on Machine Learning
□ Jinhyeok Park, Youngho Lee, Hyunjin Kwon, Wonjun Park, Seunguk Park, Sunjin Sym, and Jeong-Heum Baek
■ European Society for Medical Oncology, 2019

Breast Cancer Management and Recurrence Predictive Application Model Based on Supervised Learning Algorithm
□ Hyunjin Kwon, and Byungmun Lee
■ Korea Multimedia Society, 2018

Balance Analysis System and Method for diagnosing the Degree of Dementia
■ Kr 10-2020-0044588, Issued 2020

Method, System and Computer-Readable Mediums thereof for determining the degree of dementia Based on Voice Recognition Using Machine Learning Model
■ Kr 1021616380000, Issued 2020

Method, System and Computer-Readable Medium for Prescreening Brain Disorders of a User
■ Kr 10-2019-0158002, Issued 2019

Globe Module System for Image Training
■ Kr 102020479B1, Issued 2019

System and Method for Enhancing Attention Concentration Through Auditory Stimulation
■ Kr 102020469B1 (WO 2020013396A1), Issued 2019

Attention Enhancing System Using Multiple Sense
■ Kr 102020476B1, Issued 2019

Brain Disease Research Assistance System, Method and Computer-readable Medium Using Text-Mining
■ Kr 10-2019-0086161, Issued 2019

Medicine image Analysis System for Clinical Trial participant, and Method Thereof
■ Kr 10-2019-0073750, Issued 2019

Clinical Decision Support System and Method for Colorectal Cancer
■ Kr 10-2018-0152875, Filed 2018