D. Marín

A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features

D. Marín, Arturo Aquino, M. E. Arias et al. · IEEE Transactions on Medical Imaging · 2010 · 932 citations · Full text

Engineering, Feature Detection, Retinal Images +24

Detecting the Optic Disc Boundary in Digital Fundus Images Using Morphological, Edge Detection, and Feature Extraction Techniques

Arturo Aquino, M. E. Arias, D. Marín · IEEE Transactions on Medical Imaging · 2010 · 517 citations · Full text

Engineering, Od Segmentation, Image Analysis +16

Obtaining optic disc center and pixel region by automatic thresholding methods on morphologically processed fundus images

D. Marín, M. E. Arias, Angel Suero et al. · Computer Methods and Programs in Biomedicine · 2014 · 109 citations

Image Analysis, Engineering, Ophthalmology +10

A fast and accurate deep learning method for strawberry instance segmentation

Isaac Pérez-Borrero, D. Marín, M. E. Arias et al. · Computers and Electronics in Agriculture · 2020 · 108 citations · Full text

Instance-based Learning, Image Analysis, Machine Learning +5

A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model

M. E. Arias, D. Marín, Isaac Pérez-Borrero et al. · Computer Methods and Programs in Biomedicine · 2021 · 92 citations · Full text

Convolutional Neural Network, Image Classification, Machine Vision +13