Young-Hoon Cho

Deep Learning Applications in Chest Radiography and Computed Tomography: Current State of the Art

Sang Min Lee, E. V. van Beek, J. Gee, 2019, Journal of thoracic imaging.

Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography

J. Medina-Inojosa, Young-Hoon Cho, J. Kwon, 2020, Scientific Reports.

Deep chest X‐ray: Detection and classification of lesions based on deep convolutional neural networks

Sang Min Lee, June-Goo Lee, J. Seo, 2020, Int. J. Imaging Syst. Technol..

A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study.

Young-Hoon Cho, J. Kwon, K. Jeon, 2020, The Lancet. Digital health.

Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram.

Young-Hoon Cho, Yong-Yeon Jo, J. Kwon, 2020, International journal of cardiology.

Artificial intelligence assessment for early detection of heart failure with preserved ejection fraction based on electrocardiographic features

Young-Hoon Cho, J. Kwon, K. Jeon, 2020, European heart journal. Digital health.

A Curriculum Learning Strategy to Enhance the Accuracy of Classification of Various Lesions in Chest-PA X-ray Screening for Pulmonary Abnormalities

Joon Beom Seo, Namkug Kim, Beomhee Park, 2019, Scientific Reports.

Deep Learning Applications in Chest Radiography and Computed Tomography

Sang Min Lee, J. Goo, J. Seo, 2018 .