We introduced a hybrid red lesion detection model based on a combination of deep learning based features and hand crafted descriptors.
We develop a fractal based model for detecting proliferative diabetic retinopathy cases from fundus pictures.
We present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained fully connected conditional random field model.
We explored and evaluated different feature extraction techniques in the context of IVUS segmentation.
We explored and evaluated different feature extraction techniques in the context of retinal blood segmentation with SVMs.