Kwang Gi Kim

Professor

Gachon University

South Korea

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About

Dr. Kwang Gi Kim is a Professor at Gachon University in South Korea. His research interests encompass artificial intelligence applications in medical imaging, machine learning for disease classification, and deep learning techniques for various health-related assessments. Recent publications include studies on AI-based liver volume measurement and the use of convolutional neural networks for classifying tablet medications and speech disorders.

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Collaborators (14)

JeongYun Park

Professor

University of Ulsan

SOUTH KOREA

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Chae-Seo Rhee

Professor and Chairman

Seoul National University College of Medicine

SOUTH KOREA

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Bong Chul Kim

Wonkwang University

SOUTH KOREA

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Ji-Su Shim

Clinical Assistant Professor

Ewha Women's University Mokdong Hospital

SOUTH KOREA

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Sang Min Lee

Assistant professor

Gachon University Gil Medical Center

SOUTH KOREA

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Jun-won Chung

Gachon University Gil Medical Center

SOUTH KOREA

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Jaehun Yang

Gachon University Gil Medical Center

SOUTH KOREA

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Sung-Yoon Kang

MD. Assistant Professor

Gachon University Gil Medical Center

SOUTH KOREA

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Sang Pyo Lee

Sung Kyun Kwan University School of Medicine at Samsung Medical Center Cancer Center

SOUTH KOREA

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Doojin Kim

professor

Gachon University Gil Medical Center

SOUTH KOREA

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Young Jae Kim

Assistant Professor

Gachon University - Medical Campus

SOUTH KOREA

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Sung Joon Park

Clinical Assistant professor

Seoul National University Hospital

SOUTH KOREA

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Young-Hoon Yoon

Professor

Seoul National University Hospital

SOUTH KOREA

View details

So Hyun Park

Gachon University Gil Medical Center

SOUTH KOREA

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Kwang Gi Kim

Research Interests

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About

Articles (30)

Artificial Intelligence-based Liver Volume Measurement Using Preoperative and Postoperative CT Images

How valuable are the questions and answers generated by large language models in oral and maxillofacial surgery?

Multi-asymmetric irradiation in a ring-type array for enhanced beamwidth and power of led fluorescence microscopy in surgical imaging

CNN-Based Automatic Tablet Classification Using a Vibration-Controlled Bowl Feeder with Spiral Torque Optimization

Comparison of lesion segmentation performance in diffusion-weighted imaging and apparent diffusion coefficient images of stroke by artificial neural networks

Performance Comparison of Machine Learning Using Radiomic Features and CNN-Based Deep Learning in Benign and Malignant Classification of Vertebral Compression Fractures Using CT Scans

Deep learning-based classification of speech disorder in stroke and hearing impairment

Artificial intelligence for severity triage based on conversations in an emergency department in Korea

Artificial Intelligence Model Assists Knee Osteoarthritis Diagnosis via Determination of K-L Grade

Ensemble Learning-Based Alzheimer’s Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images

Airway and Airway Obstruction Site Segmentation Study Using U-Net with Drug-Induced Sleep Endoscopy Images

Machine learning model based on radiomics features for AO/OTA classification of pelvic fractures on pelvic radiographs

Semantic segmentation networks of organs in minimally invasive surgery

Allergy Wheal and Erythema Segmentation Using Attention U-Net

Optical Methods for Optimizing Fluorescence Imaging Field of View and Image Quality in Surgical Guidance Procedures

Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data

Increasing the Beam Width and Intensity with Refraction Power Effect Using a Combination of Beam Mirrors and Concave Mirrors for Surgical-Fluorescence-Emission-Guided Cancer Monitoring Method

Intraoperative detection of parathyroid glands using artificial intelligence: optimizing medical image training with data augmentation methods

A Method to Reduce Tension Differences in Pull/Push Manipulation for a Robot in Fluorescence Emission-Guided Surgical Microscopy

Performance Evaluation of Artificial Intelligence Methods Predicting Annual Number of Patients in Hospitals

Enhancing Disease Classification in Abdominal CT Scans through RGB Superposition Methods and 2D Convolutional Neural Networks: A Study of Appendicitis and Diverticulitis

Automatically Diagnosing Skull Fractures Using an Object Detection Method and Deep Learning Algorithm in Plain Radiography Images

Design of an Automatic Jackson-Pratt Drain Auxiliary System for Postoperative Management Applications

Single Quasi–Symmetrical LED with High Intensity and Wide Beam Width Using Diamond–Shaped Mirror Refraction Method for Surgical Fluorescence Microscope Applications

The Design of an Automatic Temperature Compensation System through Smart Heat Comparison/Judgment and Control for Stable Thermal Treatment in Hyperthermic Intraperitoneal Chemotherapy (HIPEC) Surgery

Comparison between single and serial computed tomography images in classification of acute appendicitis, acute right-sided diverticulitis, and normal appendix using EfficientNet

Automatic Spine Segmentation and Parameter Measurement for Radiological Analysis of Whole-Spine Lateral Radiographs Using Deep Learning and Computer Vision

Semi-Permanent Use of Indocyanine Green Latex Phantom for Fluorescence Emission

Development of an Automatic Pill Image Data Generation System

Remote Monitoring System for Condition Management of Patients in Free Flap Surgery

Collaborators (14)

JeongYun Park

Chae-Seo Rhee

Bong Chul Kim

Ji-Su Shim

Sang Min Lee

Jun-won Chung

Jaehun Yang

Sung-Yoon Kang

Sang Pyo Lee

Doojin Kim

Young Jae Kim

Sung Joon Park

Young-Hoon Yoon

So Hyun Park

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