Jae Youn Hwang

Orcid: 0000-0003-4659-6009

According to our database1, Jae Youn Hwang authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-Selective Test-Time Adaptation.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
A Wide-Bandwidth Ultrasound Receiver and On-Chip Ultrasound Transmitter for Ultrasound Capsule Endoscopy.
IEEE J. Solid State Circuits, October, 2023

Multi-Task and Few-Shot Learning-Based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases.
IEEE J. Biomed. Health Informatics, 2023

Deep Learning-based Synthetic High-Resolution In-Depth Imaging Using an Attachable Dual-element Endoscopic Ultrasound Probe.
CoRR, 2023

Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Outlier Robust Disease Classification via Stochastic Confidence Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Boundary-Oriented Binary Building Segmentation Model With Two Scheme Learning for Aerial Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Ex Vivo Evaluation of Mechanical Anisotropic Tissues with High-Frequency Ultrasound Shear Wave Elastography.
Sensors, 2022

Explainable deep learning algorithm for distinguishing incomplete Kawasaki disease by coronary artery lesions on echocardiographic imaging.
Comput. Methods Programs Biomed., 2022

Stochastic Adaptive Activation Function.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

USG-Net: Deep Learning-based Ultrasound Scanning-Guide for an Orthopedic Sonographer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

CSS-Net: Classification and Substitution for Segmentation of Rotator Cuff Tear.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Forward-Looking Multimodal Endoscopic System Based on Optical Multispectral and High-Frequency Ultrasound Imaging Techniques for Tumor Detection.
IEEE Trans. Medical Imaging, 2021

Domain Adaptive Transfer Attack-Based Segmentation Networks for Building Extraction From Aerial Images.
IEEE Trans. Geosci. Remote. Sens., 2021

Energy-Efficient High-Voltage Pulsers for Ultrasound Transducers.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear.
Sensors, 2021

34.4 An Energy-Replenishing Ultrasound Pulser with 0.25CV<sup>2</sup> f Dynamic Power Consumption.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021

Self-Mutating Network for Domain Adaptive Segmentation of Aerial Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for Building Extraction from Aerial Images.
CoRR, 2020

Wide-Field 3D Ultrasound Imaging Platform With a Semi-Automatic 3D Segmentation Algorithm for Quantitative Analysis of Rotator Cuff Tears.
IEEE Access, 2020

2019
Objects Segmentation From High-Resolution Aerial Images Using U-Net With Pyramid Pooling Layers.
IEEE Geosci. Remote. Sens. Lett., 2019

An Energy-Efficient Algorithm for Classification of Fall Types Using a Wearable Sensor.
IEEE Access, 2019


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