1.
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hagltan_etal_comvis_ir_2025
Compact vision language models enable efficient and interpretable optical coherence tomography through layer-specific multimodal learning
Haghighi, Tania ; Alam, Minhaj Nur ; Gholami, Sina ; Biswas, Aayush[...]
Background: Translating the intricate anatomical signatures of retinal disease from optical coherence tomography (OCT) B-scans into clear, accurate clinical narratives de[...]
12/27/2025 | articles |
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2.
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alammin_etal_conle_ir_2023
Contrastive learning‑based pretraining improves representation and transferability of diabetic retinopathy classification models
Alam, Minhaj Nur ; Yamashita, Rikiya ; Ramesh, Vignav ; Prabhune, Tejas[...]
Diabetic retinopathy (DR) is a major cause of vision impairment in diabetic patients worldwide. Due to its prevalence, early clinical diagnosis is essential to improve tr[...]
2023 | articles |
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3.
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Bhure_uncc_0694D_14136
Defending the Supply Chain: Combating Counterfeit Ics Using Advanced Machine Learning
Bhure, Chaitanya
The proliferation of counterfeit integrated circuits (ICs) poses a significant threat to the global supply chain, compromising the reliability and security of critical sy[...]
2025 | doctoral dissertations |
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4.
PDF
alammin_etal_distr_ir_2025
Distributed training of foundation models for ophthalmic diagnosis
Alam, Minhaj Nur ; Gholami, Sina ; Jannat, Fatema-E ; Tabkhivayghan, Hamed
Vision impairment affects nearly 2.2 billion people globally, and nearly half of these cases could be prevented with early diagnosis and intervention—underscoring the urg[...]
2025 | articles |
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