Q1

Bayesian Multi-Class Segmentation for Remote Sensing, Integrating User Priors and Uncertainty
Accepted (2026.02.23); IF=8.60, 3.50% (Q1)
IEEE Transactions on Geoscience and Remote Sensing (TGRS)
Bayesian Multi-Class Segmentation for Remote Sensing, Integrating User Priors and Uncertainty
Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-Selective Test-Time Adaptation
SCI(E); IF=8.20, 5.20% (Q1)
IEEE Transactions on Geoscience and Remote Sensing (TGRS, 2024, Vol. 62)
,Haeyun Lee,Juhum Park,Jae Youn Hwang
인용 원본문서 DOI
Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-Selective Test-Time Adaptation
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
인용 프로젝트 원본문서 DOI
Predicting Obstructive Sleep Apnea Based on Computed Tomography Scan Using Deep Learning Models
Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation
SCI(E); IF=3.60, 17.70% (Q1)
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (TUFFC, 2024, Early Access)
,Moon Hwan Lee,Dongho Kang,Sewoong Kim,Jin Ho Chang,Seung-June Oh,Jae Youn Hwang
인용 원본문서 DOI
Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation
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
인용 소스코드 원본문서 DOI
Deep-Learning Model Associating Lateral Cervical Radiographic Features with Cormack--lehane Grade 3 Or 4 Glottic View
Multi-task and Few-shot Learning-based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases
SCI(E); IF=7.70, 6.40% (Q1)
IEEE Journal of Biomedical and Health Informatics (JBHI, 2022, Vol. 27, Issue 1, pp. 176-187)
,T C Cavalcanti,Sewoong Kim,Hah Min Lew,Dae Hun Suh,Dong Hun Lee,Jae Youn Hwang
인용 원본문서 DOI
Multi-task and Few-shot Learning-based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases
Speckle Reduction Via Deep Content-aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image
SCI(E); IF=3.60, 17.70% (Q1)
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (TUFFC, 2022, Vol. 69, Issue 9, pp. 2638-2650)
Haeyun Lee,Moon Hwan Lee,Sang-Yeon Lee,,Hah Min Lew,Jae Youn Hwang
인용 원본문서 DOI
Speckle Reduction Via Deep Content-aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image
Boundary-oriented Binary Building Segmentation Model with Two Scheme Learning for Aerial Images
SCI(E); IF=8.12, 5.17% (Q1)
IEEE Transactions on Geoscience and Remote Sensing (TGRS, 2021, Vol. 60, Issue 1, pp. 1001-1017)
,Jun Hee Kim,Haeyun Lee,Juhum Park,Jihwan P Choi,Jae Youn Hwang
인용 소스코드 원본문서 DOI
Boundary-oriented Binary Building Segmentation Model with Two Scheme Learning for Aerial Images
Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images
SCI(E); IF=4.71, 19.00% (Q1)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTAR, 2021, Vol. 14, Issue 1, pp. 4139-4149)
Haeyun Lee,,Jun Hee Kim,Younghwan Na,Juhum Park,Jihwan P Choi,Jae Youn Hwang
인용 원본문서 DOI
Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images
Domain Adaptive Transfer Attack-based Segmentation Networks for Building Extraction from Aerial Images
SCI(E); IF=5.60, 5.11% (Q1)
IEEE Transactions on Geoscience and Remote Sensing (TGRS, 2020, Vol. 59, Issue 6, pp. 5171-5182)
Younghwan Na,Jun Hee Kim,,Juhum Park,Jae Youn Hwang,Jihwan P Choi
인용 원본문서 DOI
Domain Adaptive Transfer Attack-based Segmentation Networks for Building Extraction from Aerial Images