E. Ulises Moya-Sánchez

<p>Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma</p>

Miguel Ángel Zapata, Dídac Royo Fibla, Octavi Font et al. · Clinical ophthalmology · 2020 · 88 citations · Full text

Health Professions, Computer Science, Ophthalmology +17

Fast Single Image Defogging With Robust Sky Detection

Sebastián Salazar-Colores, E. Ulises Moya-Sánchez, Juan Manuel Ramos-Arreguín et al. · IEEE Access · 2020 · 31 citations · Full text

Computing, Computer Science, Atmospheric Science +15

Suitability Classification of Retinal Fundus Images for Diabetic Retinopathy Using Deep Learning

German Pinedo-Diaz, Susana Ortega Cisneros, E. Ulises Moya-Sánchez et al. · Electronics · 2022 · 24 citations · Full text

Computing, Computer Science, Ophthalmology +17

Geometric Bioinspired Networks for Recognition of 2-D and 3-D Low-Level Structures and Transformations

Eduardo Bayro–Corrochano, Eduardo Vázquez-Santacruz, E. Ulises Moya-Sánchez et al. · IEEE Transactions on Neural Networks and Learning Systems · 2015 · 13 citations

Computing, Computer Science, Geometry +16

A bio-inspired quaternion local phase CNN layer with contrast invariance and linear sensitivity to rotation angles

E. Ulises Moya-Sánchez, Sebastià Xambó-Descamps, Abraham Sánchez Pérez et al. · Pattern Recognition Letters · 2019 · 11 citations

Computing, Computer Science, Computer Vision +11