161 citations · 161 across the 2 of their papers we have counts for
2 papers
cs.LG2026
LeMoF: Level-guided Multimodal Fusion for Heterogeneous Clinical Data
Jongseok Kim, Seongae Kang, Jonghwan Shin +2
Multimodal clinical prediction is widely used to integrate heterogeneous data such as Electronic Health Records (EHR) and biosignals. However, existing methods tend to rely on stat…
eess.IV2020★ 161 cited
Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction
J. D. Bodapati, N. Veeranjaneyulu, S. N. Shareef +4
Diabetic Retinopathy (DR) is one of the major causes of visual impairment and blindness across the world. It is usually found in patients who suffer from diabetes for a long period…