Applied CNN for Automatic Diabetic Retinopathy Assessment Using Fundus Images. - Amine El Hossi; Ayoub Skouta; Abdelali Elmoufidi; Mourad Nachaoui (CBI, 2021)

Semantic Segmentation of Retinal Blood Vessels from Fundus Images by using CNN and the Random Forest Algorithm. - Ayoub Skouta; Abdelali Elmoufidi; Said Jai-Andaloussi; Ouail Ouchetto (SENSORNETS, 2022)

Hemorrhage semantic segmentation in fundus images for the diagnosis of diabetic retinopathy by using a convolutional neural network. - Ayoub Skouta; Abdelali Elmoufidi; Said Jai-Andaloussi; Ouail Ouchetto (J. Big Data, 2022)

Deep multiple instance learning for automatic glaucoma prevention and auto-annotation using color fundus photography. - Abdelali Elmoufidi; Ayoub Skouta; Said Jai-Andaloussi; Ouail Ouchetto (Prog. Artif. Intell., 2022)

CNN with Multiple Inputs for Automatic Glaucoma Assessment Using Fundus Images. - Abdelali Elmoufidi; Ayoub Skouta; Said Jai-Andaloussi; Ouail Ouchetto (Int. J. Image Graph., 2023)

Deep learning for diabetic retinopathy assessments: a literature review. - Ayoub Skouta; Abdelali Elmoufidi; Said Jai-Andaloussi; Ouail Ouchetto (Multim. Tools Appl., 2023)