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Shi M 12

Showing records 1 to 12 | Display all abstracts from Shi M

128213 Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation
Afolabi SO
NPJ digital medicine 2025; 8: 477

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128461 An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning
Kazeminasab S
Journal of imaging informatics in medicine 2026; 39: 755-766

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128213 Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation
Gheisi L
NPJ digital medicine 2025; 8: 477

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128461 An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning
Sekimitsu S
Journal of imaging informatics in medicine 2026; 39: 755-766

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128213 Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation
Shan J
NPJ digital medicine 2025; 8: 477

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128461 An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning
Fazli M
Journal of imaging informatics in medicine 2026; 39: 755-766

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128213 Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation
Shen LQ
NPJ digital medicine 2025; 8: 477

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128461 An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning
Eslami M
Journal of imaging informatics in medicine 2026; 39: 755-766

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128213 Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation
Wang M
NPJ digital medicine 2025; 8: 477

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128461 An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning
Shi M
Journal of imaging informatics in medicine 2026; 39: 755-766

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128213 Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation
Shi M
NPJ digital medicine 2025; 8: 477

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128461 An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning
Tian Y; Luo Y; Wang M; Elze T; Zebardast N
Journal of imaging informatics in medicine 2026; 39: 755-766

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