Результаты поиска - Lim, Jennifer I.

Quantitative Characterization of Retinal Features in Translated OCTA по Badhon, Rashadul Hasan, Thompson, Atalie Carina, Lim, Jennifer I., Leng, Theodore, Alam, Minhaj Nur

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Cross-Modal Fusion of OCT and OCT angiography enface for Improved Diagnostics of Diabetic Retinopathy по Badhon, Rashadul Hasan, Thompson, Atalie Carina, Lim, Jennifer I., Leng, Theodore, Alam, Minhaj Nur

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Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification по Jannat, Fatema-E-, Gholami, Sina, Lim, Jennifer I., Leng, Theodore, Alam, Minhaj Nur, Tabkhi, Hamed

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Learning Pathology-Sensitive Representations for Unsupervised Retinal OCT Anomaly Detection по Haghighi, Tania, Gholami, Sina, Emam, Behafarin, Lim, Jennifer I, Leng, Theodore, Thompson, Atalie C, Tabkhi, Hamed, Alam, Minhaj Nur

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Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models по Alam, Minhaj Nur, Yamashita, Rikiya, Ramesh, Vignav, Prabhune, Tejas, Lim, Jennifer I., Chan, R. V. P., Hallak, Joelle, Leng, Theodore, Rubin, Daniel

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OCT-FedSIR: Toward Trustworthy Federated Ophthalmic Learning under Annotation Noise по Gholami, Sina, Ali, Abdulmoneam, Haghighi, Tania, Badhon, Rashadul H., Emam, Behafarin, Ong, Sally S. Y., Thompson, Atalie C., Leng, Theodore, Arafa, Ahmed, Lim, Jennifer I., Alam, Minhaj Nur

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Полный текст