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Jeong Rye Park

Showing results (1-10 of 5) with videos related to

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Frontiers in Public Health|March 8, 2024
Corrigendum: Detection of COVID-19 epidemic outbreak using machine learningGiphil Cho, Jeong Rye Park, Yongin Choi, et al.
Frontiers in Public Health|January 4, 2024
Detection of COVID-19 epidemic outbreak using machine learningGiphil Cho, Jeong Rye Park, Yongin Choi, et al.
Scientific Reports|January 6, 2026
Prediction of recovery grade in Bell's palsy using machine learning modelsSang-Yoon Han, Jeong Rye Park, Heonjeong Oh, et al.
Ophthalmic Research|May 26, 2023
Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central DatasetsJeong Rye Park, Sangil Kim, Taehyeong Kim, et al.
Scientific Reports|July 10, 2023
Visual field prediction using a deep bidirectional gated recurrent unit network modelHwayeong Kim, Jiwoong Lee, Sangwoo Moon, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Public Health|March 8, 2024
Corrigendum: Detection of COVID-19 epidemic outbreak using machine learningGiphil Cho, Jeong Rye Park, Yongin Choi, et al.
Frontiers in Public Health|January 4, 2024
Detection of COVID-19 epidemic outbreak using machine learningGiphil Cho, Jeong Rye Park, Yongin Choi, et al.
Scientific Reports|January 6, 2026
Prediction of recovery grade in Bell's palsy using machine learning modelsSang-Yoon Han, Jeong Rye Park, Heonjeong Oh, et al.
Ophthalmic Research|May 26, 2023
Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central DatasetsJeong Rye Park, Sangil Kim, Taehyeong Kim, et al.
Scientific Reports|July 10, 2023
Visual field prediction using a deep bidirectional gated recurrent unit network modelHwayeong Kim, Jiwoong Lee, Sangwoo Moon, et al.
Pageof 1