2024

-  Deep Learning Algorithm for Detection of Acute Heart Failure Using Standard ECG waveforms

   Sang Mee Lee, Myung Jin Chung, Jin Oh Choi, Kyoung Min Park, Mi Rae Shin, Taeyoung Kim, Darae Kim

   Current Applications and Future of Artificial Intelligence in Cardiology (AI in Cardiology 2024)

2023

-  Unsupervised Deep Learning Model for ECG Noise Detection

   Taeyoung Kim, Sang Mee Lee, Myung Jin Chung

   International Conference on Biomedical Imaging, Signal Processing (ICBSP 2023)

-  Early Triaging Support System for Hospitalized COVID-19 Patients: a Machine-Learning based Severity Prediction Model using Nationwide Multi-Center Real World Data

   Sangwon Baek, Kyung A Kim, Myung Jin Chung 

   American Society for Microbiology (ASM Microbe)

-  Automatic segmentation and evaluation techniques for free flap in reconstruction surgery using deep learning

   Sang Mee Lee, Myung Jin Chung, Zero Kim, Kyeong Tae Lee, Da Eun Kim, Ji Su Kim

   Conference on Artificial Intelligence (CAI)

-  Quantification of Chest radiograph based on Generative Adversarial Network for Extent Scoring of Idiopathic Pulmonary Fibrosis

   Subin Park, Myung Jin Chung, Kyungsu Kim

   European society of radiology (ECR)

-  Artificial Intelligence-Assisted Analysis to Facilitate Effective Detection of Humeral Lesions in Chest Radiograph

   Harim Kim, Kyungsu Kim, Sungjoo Lee, Seong Je Oh, Kyunga Kim, Myung Jin Chung

   Radiological Society of North America (RSNA)

2022

-  Low-Dose Computed Tomography Reconstruction without Learning Data: Performance Improvement by Exploiting Joint Correlation Between Adjacent Slices

   Kyungsu Kim, Chae Yeon Lim, Myung Jin Chung

   IEEE International Symposium on Biomedical Imaging (ISBI)