Publications (1st author: International - 5 / Domestic - 2 & Co-author: 8)
[J15] Haeyun Lee⁺, Kyungsu Lee⁺, Moon Hwan Lee, Sewoong Kim, Yongsoon Eun, Lucy Youngmin Eun, Jae Youn Hwang*, "Expert-Level Differentiation of Incomplete Kawasaki Disease and Pneumonia from Echocardiography via Multiple Large Receptive Attention Mechanisms", Computers In Biology and Medicine, 2025
[J14] Moon Hwan Lee, Kyungsu Lee, Youngseung Yoo, HyungJoon Cho, Euiheon Chung, Jae Youn Hwang*, "Machine Learning-Enhanced Skull-Universal Acoustic Hologram for Efficient Transcranial Ultrasound Neuromodulation Across Varied Rodent Skulls", IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2024
[J13] Kyungsu Lee⁺, Moon Hwan Lee⁺, Dongho Kang, Sewoong Kim, Jin Ho Chang, Seung-June Oh, Jae Youn Hwang*, “Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2024
[J12] Kyungsu Lee, Haeyun Lee, Moon Hwan Lee, Jin Ho Chang, C-C Jay Kuo, Seung-June Oh, Jonghye Woo, Jae Youn Hwang*, “Multi-Scale Self-Attention Network for Denoising Medical Images”, APSIPA Transactions on Signal and Information Processing, 2024
[J11] Moon Hwan Lee, HeeYeon Park, Kyungsu Lee, Sewoong Kim, Jihun Kim, Jae Youn Hwang*, “Ultrasound-optical imaging-based multimodal imaging technology for biomedical applications”, The Journal of the Acoustical Society of Korea, 2023
[J10] Kyungsu Lee⁺, Jaeseung Yang⁺, Moon Hwan Lee, Jin Ho Chang, Jun-Young Kim, and Jae Youn Hwang*, “USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
[J9] Haeyun Lee⁺, Moon Hwan Lee⁺, Sangyeon Youn, Kyungsu Lee, Hah Min Lew, Jae Youn Hwang*, “Speckle Reduction via Deep Content-Aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image”, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022
[J8] Haemin Kim, Sangyeon Youn, Jinwoo Kim, Sunghun Park, Moon Hwan Lee, Jae Youn Hwang* and Jin Ho Chang*, “Deep laser microscopy using optical clearing by ultrasound-induced gas bubbles“, Nature Photonics, 2022 (Featured on the front cover)
[J7] Moon Hwan Lee, Hah Min Lew, Sangyeon Youn, Tae Kim, Jae Youn Hwang*, “Deep learning-based framework for fast and accurate acoustic hologram generation“, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022 (Featured on the front cover)
[J6] Kyungsu Lee, Hah Min Lew, Moon Hwan Lee, Jun-Young Kim, Jae Youn Hwang*, “CSS-Net: Classification and Substitution for Segmentation of Rotator Cuff Tear”, The Asian Conference on Computer Vision (ACCV), 2022
[J5] Hah Min Lew, Heean Shin, Moon Hwan Lee, Sangyeon Youn, Hee Chan Kim, and Jae Youn Hwang*, “Ultrasonic Blood Flowmeter with a Novel Xero Algorithm for a Mechanical Circulatory Support System”, Ultrasonics, 2021
[J4] Moon Hwan Lee and Jae Youn Hwang*, “Development of deep learning-based holographic ultrasound generation algorithm (Deep-HUG)”, The Journal of the Acoustical Society of Korea, 2021
[J3] Kyungsu Lee, JunYoung Kim, Moon Hwan Lee, ChangHuk Choi, and Jae Youn Hwang*, “Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear”, Sensors, 2021
[J2] Mincheol Park⁺, Gia Minh Hoang⁺, Thien Nguyen, Eunkyung Lee, Hyun Jin Jung, Youngshik Choe, Moon Hwan Lee, Jae Youn Hwang, Jae Gwan Kim, Tae Kim*, “Effects of transcranial ultrasound stimulation pulsed at 40 Hz on Aβ plaques and brain rhythms in 5×XFAD mice” Translational Neurodegeneration, 2021
Conferences
[C12] Moon Hwan Lee, and Jae Youn Hwang, “Thickness-Only Acoustic Hologram for Precise Ultrasound Neuromodulation and its Validation via Blood-Brain Barrier Opening in Mice”, IEEE UFFC-Joint Symposium (lecture presentation), 2024
[C11] Moon Hwan Lee, Hah Min Lew, Jae Seong Kim, Jaegeun Park, Sangyeon Youn, Jihun Kim, and Jae Youn Hwang, “Deep Learning-Based Fundamental Frequency Conversion for a Mechanically Rotating Dual-Element Ultrasound Endoscopic Probe”, IEEE UFFC-Joint Symposium (poster presentation), 2024
[C10] Kyungsu Lee, Moon Hwan Lee, Jae Youn Hwang, “ViT-SPI: Vision Transformer with Volumetric Spatial Information for Precis Bladder Volume Measurement”, IEEE International Ultrasonic Symposium (lecture presentation), 2023
[C9] Moon Hwan Lee, Young-Seung Yoo, Euiheon Chung, HyungJoon Cho, Jae Youn Hwang, “Transcranial Acoustic Hologram Design with Machine Learning: A Universal Solution for All Skulls”, IEEE International Ultrasonic Symposium (poster presentation), 2023
[C8] Moon Hwan Lee, Young-Seung Yoo, Euiheon Chung, HyungJoon Cho, Jae Youn Hwang, “The way to deep learning (DL)-based fast transcranial acoustic hologram generation for flexible neuromodulation”, The Annual International Symposium on Therapeutic Ultrasound held by International Society for Therapeutic Ultrasound (ISTU), 2023
[C7] Moon Hwan Lee, Jae Youn Hwang, “Neural Network-Based Acoustic Hologram Generation for Fast and Precise Neuromodulation”, IEEE International Ultrasonic Symposium (poster presentation), 2022
[C6] Minji Kang, Moon Hwan Lee, Jae Youn Hwang, “Bladder Volume Estimation Deep Learning Algorithm using Depth Dependent Coefficients Of Ultrasound Signals”, International Congress on Acoustics, 2022
[C5] Haeyun Lee, Moon Hwan Lee, Lucy Youngmin, Youngsoon Eun, Jae Youn Hwang, “Diagnosis of Incomplete Kawasaki Disease using Deep Learning Techniques with Ultrasound Images of Coronary Artery Lesions”, International Congress on Acoustics, 2022
[C4] Hee Yeon Park, Sangyeon Youn, Jae Seong Kim, Moon Hwan Lee, Jae Youn Hwang, "Measurement of single-cell viscoelastic properties using acoustic tweezers", International Congress on Acoustics, 2022
[C3] Moon Hwan Lee, Hah Min Lew, Jae Seong Kim, Sangyeon Youn, Jae Youn Hwang, “Monitoring of spatially selective calcium response to holographic ultrasound stimulation using fluorescence imaging”, SPIE Photonics West (poster presentation), 2022
[C2] Moon Hwan Lee, Sangyeon Youn, and Jae Youn Hwang, "Development of a multimodal necklace for continuous monitoring of cardiopulmonary functions", SPIE Photonics West (poster presentation), 2021
Patents (Application: 11, Granted: 5)
[P11] “CELL CULTURE PLATE APPARATUS USING ULTRASONIC HOLOGRAM” (Application (KR), 10-2024-0066916)
[P10] “Ultrasound imaging device for endoscope mounting” (Application (KR), 10-2024-001309)
[P9] “APPARATUS AND ULTRASONIC STIMULATION AND METHOD FOR OPERATION FOR THE SAME” (Application (KR), 10-2023-0132379)
[P8] “CELL STIMULATION AND CULTURE PLATFORM USING ULTRASONIC HOLOGRAM” (Application (US), 17-960999 / Granted, 10-2579381)
[P7] “Bladder monitoring apparatus and method for controlling bladder monitoring apparatus” (Application (US), US20220133259A1)
[P6] “Brain ultrasonic stimulation and visual monitoring system” (Application (KR), 10-2022-0017344 / Granted, 10-2716510)
[P5] “CELL CULTURE AND STIMULATION PLATFROM BASED ON ULTRASOUND HOLOGRAM” (Application (KR), 10-2021-0132152 / Granted, 10-2579381)
[P4] “SMART HIP JOINT IMPLANT WITH LINEAR WEAR MONITORING” (Application (KR), 10-2021-0092344)
[P3] “Hollow cylindrical ultrasound imaging system for analyzing body composition and operation method of the ultrasound imaging system” (Application (US), US20220071598A1 / Granted, US11717267B2)