Classification

Predicting Obstructive Sleep Apnea Based on Computed Tomography Scan Using Deep Learning Models
SCI(E); IF=24.70, 3.80% (Q1)
American Journal of Respiratory and Critical Care Medicine (AJRCCM, Early Accept)
Jeong-Whun Kim,,Hyun Jik Kim,Hae Chan Park,Jae Youn Hwang,Seok-Won Park,Hyoun-Joong Kong,Jin Youp Kim
Cite Project Source Document DOI
Predicting Obstructive Sleep Apnea Based on Computed Tomography Scan Using Deep Learning Models
Deep-Learning Model Associating Lateral Cervical Radiographic Features with Cormack--lehane Grade 3 Or 4 Glottic View
SCI(E); IF=10.70, 1.40% (Q1)
Anaesthesia (Anaesthesia, 2022, Vol. 78, Issue 1, pp. 64-72)
H-Y Cho,,H-L Yang,C-W Jung,H-P Park,Jae Youn Hwang,Hyoun-Joong Kong,Hyung-Chul Lee
Cite Code Source Document DOI
Deep-Learning Model Associating Lateral Cervical Radiographic Features with Cormack--lehane Grade 3 Or 4 Glottic View
USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer
MICCAI 2022 (Top AI & CV Conference)
International Conference on Medical Image Computing and Computer-Assisted Intervention2022
,Jaeseung Yang,Moon Hwan Lee,Jin Ho Chang,Jun-Young Kim,Jae Youn Hwang
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USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer
Intelligent Smartphone-based Multimode Imaging Otoscope for the Mobile Diagnosis of Otitis Media
SCI(E); IF=3.56, 30.20% (Q2)
Biomedical Optics Express (BOE, 2021, Vol. 12, Issue 12, pp. 7765-7779)
Thiago C. Cavalcanti,Hah Min Lew,,Sang-Yeon Lee,Moo Kyun Park,Jae Youn Hwang
Cite Source Document DOI
Intelligent Smartphone-based Multimode Imaging Otoscope for the Mobile Diagnosis of Otitis Media
Smartphone-based Spectral Imaging Otoscope: System Development and Preliminary Study for Evaluation of Its Potential As a Mobile Diagnostic Tool
SCI(E); IF=3.21, 28.79% (Q2)
Journal of Biophotonics (Journal of Biophotonics, 2020, Vol. 13, Issue 6, pp. 24-52)
Thiago Coutinho Cavalcanti,Sewoong Kim,,Sang-Yeon Lee,Moo Kyun Park,Jae Youn Hwang
Cite Source Document DOI
Smartphone-based Spectral Imaging Otoscope: System Development and Preliminary Study for Evaluation of Its Potential As a Mobile Diagnostic Tool