3 papers
cs.LG2026
OCT-FedSIR: Toward Trustworthy Federated Ophthalmic Learning under Annotation Noise
Sina Gholami, Abdulmoneam Ali, Tania Haghighi +8
Federated learning enables collaborative model development without centralizing patient data, but annotation reliability at participating institutions cannot always be assumed. In…
eess.IV2026
Cross-Modal Fusion of OCT and OCT angiography enface for Improved Diagnostics of Diabetic Retinopathy
Rashadul Hasan Badhon, Atalie Carina Thompson, Jennifer I. Lim +2
Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, highlighting the need for accurate and accessible screening tools. Optical Coherence Tomography (OCT) p…
cs.CV2024
Quantitative Characterization of Retinal Features in Translated OCTA
Rashadul Hasan Badhon, Atalie Carina Thompson, Jennifer I. Lim +2
Purpose: This study explores the feasibility of using generative machine learning (ML) to translate Optical Coherence Tomography (OCT) images into Optical Coherence Tomography Angi…