Ultrasound

Real-time Self-supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis
SCI(E); IF=3.6, 38.3% (Q2)
IEEE Signal Processing Letters, Vol. 32, pp. 1635–1639
Haeyun Lee,,Jong Pil Yoon,Jihun Kim,Jun-Young Kim
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Real-time Self-supervised Ultrasound Image Enhancement Using Test-Time Adaptation for Sophisticated Rotator Cuff Tear Diagnosis
Machine Learning-Enhanced Skull-Universal Acoustic Hologram for Efficient Transcranial Ultrasound Neuromodulation Across Varied Rodent Skulls
SCI(E); IF=3.00, 18.70% (Q1)
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 72, No. 1, pp. 127–140
Moon Hwan Lee,,Youngseung Yoo,HyungJoon Cho,Euiheon Chung,Jae Youn Hwang
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Machine Learning-Enhanced Skull-Universal Acoustic Hologram for Efficient Transcranial Ultrasound Neuromodulation Across Varied Rodent Skulls
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, Vol. 71, No. 7, pp. 775–785
,Moon Hwan Lee,Dongho Kang,Sewoong Kim,Jin Ho Chang,Seung-June Oh,Jae Youn Hwang
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Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation
Self-supervised Domain Adaptive Segmentation of Breast Cancer Via Test-time Fine-Tuning
MICCAI 2023 (Top AI & CV Conference)
International Conference on Medical Image Computing and Computer-Assisted Intervention2023
,Haeyun Lee,Georges El Fakhri,Jonghye Woo,Jae Youn Hwang
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Self-supervised Domain Adaptive Segmentation of Breast Cancer Via Test-time Fine-Tuning
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
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, Vol. 69, No. 9, pp. 2638–2650
Haeyun Lee,Moon Hwan Lee,Sang-Yeon Lee,,Hah Min Lew,Jae Youn Hwang
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Speckle Reduction Via Deep Content-aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image
Imbalanced Loss-Integrated Deep-Learning-based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear
SCI(E); IF=3.85, 28.91% (Q2)
Sensors, Vol. 21, No. 6, Art. 2214
,Jun-Young Kim,Moon Hwan Lee,Chang-Hyuk Choi,Jae Youn Hwang
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Imbalanced Loss-Integrated Deep-Learning-based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear
Wide-field 3D Ultrasound Imaging Platform with a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears
SCI(E); IF=3.37, 34.25% (Q2)
IEEE Access, Vol. 8, pp. 65472–65487
Moon Hwan Lee,Jun-Young Kim,,Chang-Hyuk Choi,Jae Youn Hwang
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Wide-field 3D Ultrasound Imaging Platform with a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears