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20242026
most citedMultimodal Deep Learning for Stroke Prediction and Detection using Retinal Imaging and Clinical Data

2 citations · 2 across the 3 of their papers we have counts for

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eess.IV2025★ 2 cited

Multimodal Deep Learning for Stroke Prediction and Detection using Retinal Imaging and Clinical Data

Saeed Shurrab, Aadim Nepal, Terrence J. Lee-St. John +3

Stroke is a major public health problem, affecting millions worldwide. Deep learning has recently demonstrated promise for enhancing the diagnosis and risk prediction of stroke. Ho…

eess.IV2025

MedPatch: Confidence-Guided Multi-Stage Fusion for Multimodal Clinical Data

Baraa Al Jorf, Farah Shamout

Clinical decision-making relies on the integration of information across various data modalities, such as clinical time-series, medical images and textual reports. Compared to othe…