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RESPIRATORY Research

  • Airflow Simulations using Computational Fluid Dynamics using FEM and OpenFOAM

  • Analysis of Respiratory System in healthy, Asthma, dust-exposed and COPD subjects

  • Aerosol transport, and dust deposition analysis using Discrete element method

  • FEM, OpenFOAM, ANSYS 를 활용한 호흡기 CFD 모형 개발 및 해석 연구

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  • Development of Unsupervised Image Registration Method using convolutional neural network

  • Development of Mesh Smooth Learning to provide accurate airway structure using Graph neural network

  • AI-based respiratory disease prediction

  • Construction of medical image and computer-aided diagnosis

  • ​딥러닝 기법을 활용한 의료영상 처리 및 진단 기법 개발

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  • Development of CFD acceleration method using graph convolutional neural network

  • Acceleration of 1D Airflow and Pressure prediction model

  • ​딥러닝 기법을 활용한 기존 호흡기 CFD 모형의 가속화 기법 도출

  • Medical Image Analysis using Impulse Oscillation System (IOS)

  • Medical Image Analysis using Electrical Impedance Tomography (EIT)

  • Multiscale CFD Simulation Using OpenFOAM with Shear-stress Transport-based Scale-adaptive Simulation (SST-SAS) and Physiologically Consistent Boundary Conditions

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  • Micro CT Imaging Analysis for Asthmatic Mouse Animals using 3D Slicer and Deep Learning

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  • AI Modeling for Predict Disease Cases using Kolmogorov-Arnold Networks

  • AI Modeling for Improving Image Quality using Super-resolution Generative Adversarial Networks (GAN)

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