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Kim S 21

Showing records 1 to 21 | Display all abstracts from Kim S

109518 Increased Risk of Glaucoma in Patients with Rosacea: A Nationwide Population-Based Cohort Study
Chae K
Journal of clinical medicine 2023; 12:
109414 Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets
Park JR
Ophthalmic Research 2023; 66: 978-991
109821 Visual field prediction using a deep bidirectional gated recurrent unit network model
Kim H; Lee J
Scientific reports 2023; 13: 11154
109414 Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets
Kim S
Ophthalmic Research 2023; 66: 978-991
109518 Increased Risk of Glaucoma in Patients with Rosacea: A Nationwide Population-Based Cohort Study
Kim S
Journal of clinical medicine 2023; 12:
109821 Visual field prediction using a deep bidirectional gated recurrent unit network model
Moon S
Scientific reports 2023; 13: 11154
109414 Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets
Kim T
Ophthalmic Research 2023; 66: 978-991
109821 Visual field prediction using a deep bidirectional gated recurrent unit network model
Kim S
Scientific reports 2023; 13: 11154
109414 Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets
Jin SW
Ophthalmic Research 2023; 66: 978-991
109518 Increased Risk of Glaucoma in Patients with Rosacea: A Nationwide Population-Based Cohort Study
Woo YR
Journal of clinical medicine 2023; 12:
109821 Visual field prediction using a deep bidirectional gated recurrent unit network model
Kim T
Scientific reports 2023; 13: 11154
109414 Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets
Kim JL
Ophthalmic Research 2023; 66: 978-991
109821 Visual field prediction using a deep bidirectional gated recurrent unit network model
Jin SW
Scientific reports 2023; 13: 11154
109414 Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets
Shin J
Ophthalmic Research 2023; 66: 978-991
109821 Visual field prediction using a deep bidirectional gated recurrent unit network model
Kim JL
Scientific reports 2023; 13: 11154
109414 Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets
Lee SU
Ophthalmic Research 2023; 66: 978-991
109821 Visual field prediction using a deep bidirectional gated recurrent unit network model
Shin J
Scientific reports 2023; 13: 11154
109414 Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets
Jang G
Ophthalmic Research 2023; 66: 978-991
109821 Visual field prediction using a deep bidirectional gated recurrent unit network model
Lee SU
Scientific reports 2023; 13: 11154
109414 Data Preprocessing and Augmentation Improved Visual Field Prediction of Recurrent Neural Network with Multi-Central Datasets
Hu Y; Lee JW
Ophthalmic Research 2023; 66: 978-991
109821 Visual field prediction using a deep bidirectional gated recurrent unit network model
Jang G; Hu Y; Park JR
Scientific reports 2023; 13: 11154

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