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Donggeun Park

Showing results (1-10 of 8) with videos related to

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Materials Horizons|May 18, 2026
Surface-based stress tomography of architected metamaterials <i>via</i> physics-constrained generative learningDonggeun Park, Minwoo Park, Junheui Jo, et al.
Scientific Reports|December 5, 2022
Author Correction: A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiographyGahyung Ryu, Kyungmin Lee, Donggeun Park, et al.
American Journal of Ophthalmology|January 7, 2021
Macular Microvascular Changes and Their Correlation With Peripheral Nonperfusion in Branch Retinal Vein OcclusionGahyung Ryu, Donggeun Park, Jinam Lim, et al.
Materials Horizons|June 5, 2024
Deep generative spatiotemporal learning for integrating fracture mechanics in composite materials: inverse design, discovery, and optimizationDonggeun Park, Jaemin Lee, Hugon Lee, et al.
Scientific Reports|November 27, 2021
A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiographyGahyung Ryu, Kyungmin Lee, Donggeun Park, et al.
Translational Vision Science & Technology|June 15, 2022
A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography AngiographyGahyung Ryu, Kyungmin Lee, Donggeun Park, et al.
Materials Horizons|August 10, 2023
Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a reviewJunhyeong Lee, Donggeun Park, Mingyu Lee, et al.
NPJ Digital Medicine|May 27, 2026
Reassessing negative 24 h pH impedance tests for hidden gastroesophageal reflux disease using multi feature anomaly detectionSongho Lee, Junhyeong Lee, Donggeun Park, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Materials Horizons|May 18, 2026
Surface-based stress tomography of architected metamaterials <i>via</i> physics-constrained generative learningDonggeun Park, Minwoo Park, Junheui Jo, et al.
Scientific Reports|December 5, 2022
Author Correction: A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiographyGahyung Ryu, Kyungmin Lee, Donggeun Park, et al.
American Journal of Ophthalmology|January 7, 2021
Macular Microvascular Changes and Their Correlation With Peripheral Nonperfusion in Branch Retinal Vein OcclusionGahyung Ryu, Donggeun Park, Jinam Lim, et al.
Materials Horizons|June 5, 2024
Deep generative spatiotemporal learning for integrating fracture mechanics in composite materials: inverse design, discovery, and optimizationDonggeun Park, Jaemin Lee, Hugon Lee, et al.
Scientific Reports|November 27, 2021
A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiographyGahyung Ryu, Kyungmin Lee, Donggeun Park, et al.
Translational Vision Science & Technology|June 15, 2022
A Deep Learning Algorithm for Classifying Diabetic Retinopathy Using Optical Coherence Tomography AngiographyGahyung Ryu, Kyungmin Lee, Donggeun Park, et al.
Materials Horizons|August 10, 2023
Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a reviewJunhyeong Lee, Donggeun Park, Mingyu Lee, et al.
NPJ Digital Medicine|May 27, 2026
Reassessing negative 24 h pH impedance tests for hidden gastroesophageal reflux disease using multi feature anomaly detectionSongho Lee, Junhyeong Lee, Donggeun Park, et al.
Pageof 1