Yongwon Cho
Orcid: 0000-0001-8092-5799
According to our database1,
Yongwon Cho
authored at least 13 papers
between 2013 and 2023.
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Bibliography
2023
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images.
Int. J. Imaging Syst. Technol., March, 2023
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
2022
Computer-aided hepatocellular carcinoma detection on the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging using a convolutional neural network: Feasibility evaluation with multi-sequence data.
Comput. Methods Programs Biomed., 2022
2021
Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network-Corrected Labeling in Magnetic Resonance Imaging-Derived Proton Density Fat Fraction.
J. Digit. Imaging, 2021
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks.
Int. J. Imaging Syst. Technol., 2021
Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets.
Int. J. Imaging Syst. Technol., 2021
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs.
Comput. Biol. Medicine, 2021
2020
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets.
J. Digit. Imaging, 2020
Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room.
Comput. Methods Programs Biomed., 2020
Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network.
Comput. Methods Programs Biomed., 2020
2019
A study on the Factors Affecting Continuous Usage Intention of Computer Aided Engineering (CAE) Software.
Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering, 2019
2018
Enhancement of gesture recognition for contactless interface using a personalized classifier in the operating room.
Comput. Methods Programs Biomed., 2018
2013
Proceedings of the Mobile, Ubiquitous, and Intelligent Computing, 2013