Výsledky vyhledávání - "Hwang, Jae Youn"

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

Autor: Lew, Hah Min, Kim, Jae Seong, Lee, Moon Hwan, Park, Jaegeun, Youn, Sangyeon, Kim, Hee Man, Kim, Jihun, Hwang, Jae Youn

Endoscopic ultrasound (EUS) imaging has a trade-off between resolution and penetration depth. By considering the in-vivo characteristics of human organs, it is necessary to provide clinicians with appropriate hardware specifications for precise diagn

Externí odkaz: http://arxiv.org/abs/2309.06770

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Stochastic Adaptive Activation Function

Autor: Lee, Kyungsu, Yang, Jaeseung, Lee, Haeyun, Hwang, Jae Youn

The simulation of human neurons and neurotransmission mechanisms has been realized in deep neural networks based on the theoretical implementations of activation functions. However, recent studies have reported that the threshold potential of neurons

Externí odkaz: http://arxiv.org/abs/2210.11672

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Explainable Deep Learning Algorithm for Distinguishing Incomplete Kawasaki Disease by Coronary Artery Lesions on Echocardiographic Imaging

Autor: Lee, Haeyun, Eun, Yongsoon, Hwang, Jae Youn, Eun, Lucy Youngmin

Background and Objective: Incomplete Kawasaki disease (KD) has often been misdiagnosed due to a lack of the clinical manifestations of classic KD. However, it is associated with a markedly higher prevalence of coronary artery lesions. Identifying cor

Externí odkaz: http://arxiv.org/abs/2204.02403

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

Autor: Na, Younghwan, Kim, Jun Hee, Lee, Kyungsu, Park, Juhum, Hwang, Jae Youn, Choi, Jihwan P.

Semantic segmentation models based on convolutional neural networks (CNNs) have gained much attention in relation to remote sensing and have achieved remarkable performance for the extraction of buildings from high-resolution aerial images. However,

Externí odkaz: http://arxiv.org/abs/2004.11819

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