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Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets.

Y. Cho, S. Hwang, Y. Oh, B. Ham, M. Kim, and B. Park. Int. J. Imaging Syst. Technol., 31 (3): 1087-1104 (2021)

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Miyeon Cho

Photooxygenierung in Mikroemulsionen und mit dualen PhotokatalysatorenM. Cho. Uni Köln, (2009)

Seongdon Cho

Myunghun Cho

Soon Cho

Yongsun Cho

Other publications of authors with the same name

Video Image Based Hyper Live Spatial Data Construction.Y. Cho, M. Pyeon, D. Kim, S. Moon, and I. Jang. MUSIC, volume 274 of Lecture Notes in Electrical Engineering, page 371-376. Springer, (2013)A study on the Factors Affecting Continuous Usage Intention of Computer Aided Engineering (CAE) Software.Y. Cho, D. Kim, H. Phuong, and G. Gim. SNPD, page 362-371. IEEE, (2019)Deep convolution neural networks to differentiate between COVID-19 and other pulmonary abnormalities on chest radiographs: Evaluation using internal and external datasets.Y. Cho, S. Hwang, Y. Oh, B. Ham, M. Kim, and B. Park. Int. J. Imaging Syst. Technol., 31 (3): 1087-1104 (2021)Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs.Y. Cho, B. Park, S. Lee, K. Lee, J. Seo, and N. Kim. Comput. Biol. Medicine, (2021)Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network-Corrected Labeling in Magnetic Resonance Imaging-Derived Proton Density Fat Fraction.Y. Cho, M. Kim, B. Park, K. Sim, Y. Keu, Y. Han, D. Sung, and N. Han. J. Digit. Imaging, 34 (5): 1225-1236 (2021)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.Y. Cho, Y. Han, M. Kim, B. Park, K. Sim, D. Sung, N. Han, and Y. Park. Comput. Methods Programs Biomed., (2022)Enhancement of surgical hand gesture recognition using a capsule network for a contactless interface in the operating room.A. Lee, Y. Cho, S. Jin, and N. Kim. Comput. Methods Programs Biomed., (2020)Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets.J. Park, J. Yun, N. Kim, B. Park, Y. Cho, H. Park, M. Song, M. Lee, and J. Seo. J. Digital Imaging, 33 (1): 221-230 (2020)Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks.Y. Cho, S. Lee, Y. Cho, J. Lee, B. Park, G. Lee, N. Kim, and J. Seo. Int. J. Imaging Syst. Technol., 31 (1): 72-81 (2021)Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images.H. Yoon, Y. Cho, K. Ahn, H. Lee, C. Kang, and B. Park. Int. J. Imaging Syst. Technol., 33 (2): 547-555 (March 2023)

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Disambiguation of "Cho, Yongwon"