Near-infrared light-guided miniaturized indirect ophthalmoscopy for nonmydriatic wide-field fundus photography von Toslak, Devrim, Liu, Changgeng, Alam, Minhaj Nur, Yao, Xincheng

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Quantitative characterization of retinal features in translated OCTA von Badhon, Rashadul Hasan, Thompson, Atalie Carina, Lim, Jennifer I., Leng, Theodore, Alam, Minhaj Nur

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Contact-free trans-pars-planar illumination enables snapshot fundus camera for nonmydriatic wide field photography von Wang, Benquan, Toslak, Devrim, Alam, Minhaj Nur, Chan, R. V. Paul, Yao, Xincheng

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OCT Angiography Biomarkers for Predicting Visual Outcomes after Ranibizumab Treatment for Diabetic Macular Edema von Hsieh, Yi-Ting, Alam, Minhaj Nur, Le, David, Hsiao, Chia-Chieh, Yang, Chang-Hao, Chao, Daniel L., Yao, Xincheng

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Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models von 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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Federated learning for diagnosis of age-related macular degeneration von Gholami, Sina, Lim, Jennifer I, Leng, Theodore, Ong, Sally Shin Yee, Thompson, Atalie Carina, Alam, Minhaj Nur

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Differential artery-vein analysis in quantitative retinal imaging: a review von Alam, Minhaj Nur, Le, David, Yao, Xincheng

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Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning-based Risk Stratification System Using US Cine-Clip Images von Yamashita, Rikiya, Kapoor, Tara, Alam, Minhaj Nur, Galimzianova, Alfiia, Syed, Saad Ali, Ugur Akdogan, Mete, Alkim, Emel, Wentland, Andrew Louis, Madhuripan, Nikhil, Goff, Daniel, Barbee, Victoria, Sheybani, Natasha Diba, Sagreiya, Hersh, Rubin, Daniel L, Desser, Terry S

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OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection von Jannat, Fatema-E, Gholami, Sina, Alam, Minhaj Nur, Tabkhi, Hamed

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

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

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OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection von Fatema-E Jannat, Gholami, Sina, Alam, Minhaj Nur, Tabkhi, Hamed

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Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models von 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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Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification von Fatema-E- Jannat, Gholami, Sina, Lim, Jennifer I, Leng, Theodore, Alam, Minhaj Nur, Tabkhi, Hamed

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

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

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