3 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images
Tomás Castilla, Marcela S. Martínez, Mercedes Leguía +2
Deep learning is currently the state-of-the-art for automated detection of referable diabetic retinopathy (DR) from color fundus photographs (CFP). While the general interest is pu…
eess.IV2022★ 3 cited
A deep learning model for brain vessel segmentation in 3DRA with arteriovenous malformations
Camila García, Yibin Fang, Jianmin Liu +3
Segmentation of brain arterio-venous malformations (bAVMs) in 3D rotational angiographies (3DRA) is still an open problem in the literature, with high relevance for clinical practi…