Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Kwon, Joon‐myoung"'
Domain generalization involves training machine learning models to perform robustly on unseen samples from out-of-distribution datasets. Adversarial Data Augmentation (ADA) is a commonly used approach that enhances model adaptability by incorporating
Externí odkaz:
http://arxiv.org/abs/2407.15174
Autor:
Song, Junho, Jang, Jong-Hwan, Lee, Byeong Tak, Hong, DongGyun, Kwon, Joon-myoung, Jo, Yong-Yeon
Foundation models, enhanced by self-supervised learning (SSL) techniques, represent a cutting-edge frontier in biomedical signal analysis, particularly for electrocardiograms (ECGs), crucial for cardiac health monitoring and diagnosis. This study con
Externí odkaz:
http://arxiv.org/abs/2407.07110
We study scaling convolutional neural networks (CNNs), specifically targeting Residual neural networks (ResNet), for analyzing electrocardiograms (ECGs). Although ECG signals are time-series data, CNN-based models have been shown to outperform other
Externí odkaz:
http://arxiv.org/abs/2308.12492
Question answering (QA) in the field of healthcare has received much attention due to significant advancements in natural language processing. However, existing healthcare QA datasets primarily focus on medical images, clinical notes, or structured e
Externí odkaz:
http://arxiv.org/abs/2306.15681
Electrocardiogram (ECG) synthesis is the area of research focused on generating realistic synthetic ECG signals for medical use without concerns over annotation costs or clinical data privacy restrictions. Traditional ECG generation models consider a
Externí odkaz:
http://arxiv.org/abs/2303.09395
Electrocardiogram (ECG) signals are beneficial in diagnosing cardiovascular diseases, which are one of the leading causes of death. However, they are often contaminated by noise artifacts and affect the automatic and manual diagnosis process. Automat
Externí odkaz:
http://arxiv.org/abs/2208.08853
In recent years, self-supervised learning methods have shown significant improvement for pre-training with unlabeled data and have proven helpful for electrocardiogram signals. However, most previous pre-training methods for electrocardiogram focused
Externí odkaz:
http://arxiv.org/abs/2203.06889
Autor:
Kim, Changi, Kwon, Joon-myoung, Lee, Jiyeong, Jo, Hongju, Gwon, Dowan, Jang, Jae Hoon, Sung, Min Kyu, Park, Sang Won, Kim, Chulho, Oh, Mi-Young
Publikováno v:
In Heliyon 30 May 2024 10(10)
The electrocardiogram (ECG) records electrical signals in a non-invasive way to observe the condition of the heart, typically looking at the heart from 12 different directions. Several types of the cardiac disease are diagnosed by using 12-lead ECGs
Externí odkaz:
http://arxiv.org/abs/2103.00006
Autor:
Jung, Young Mi, Kang, Sora, Son, Jeong Min, Lee, Hak Seung, Han, Ga In, Yoo, Ah-Hyun, Kwon, Joon-myoung, Park, Chan-Wook, Park, Joong Shin, Jun, Jong Kwan, Lee, Min Sung, Lee, Seung Mi
Publikováno v:
In American Journal of Obstetrics & Gynecology MFM December 2023 5(12)