BeomHee Park
According to our database1,
BeomHee Park
authored at least 8 papers
between 2018 and 2021.
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Bibliography
2021
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks.
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
CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels.
Comput. Methods Programs Biomed., 2020
2019
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks.
J. Digit. Imaging, 2019
2018
Development of a Computer-Aided Differential Diagnosis System to Distinguish Between Usual Interstitial Pneumonia and Non-specific Interstitial Pneumonia Using Texture- and Shape-Based Hierarchical Classifiers on HRCT Images.
J. Digit. Imaging, 2018
Preliminary Validation of Prediction of Poor Outcome in Initially Stable Upper Gastrointestinal Bleeding ED Patients Using Multiple Machine Learning Algorithms.
Proceedings of the AMIA 2018, 2018