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2020 – today
- 2024
[j5]Roberto Romero-Oraá
, María Herrero-Tudela, María I. López, Roberto Hornero, María García:
Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading. Comput. Methods Programs Biomed. 249: 108160 (2024)- 2020
- [j4]Roberto Romero-Oraá, María García, Javier Oraá-Pérez, María Isabel López, Roberto Hornero:
A robust method for the automatic location of the optic disc and the fovea in fundus images. Comput. Methods Programs Biomed. 196: 105599 (2020) - [j3]Roberto Romero-Oraá, María García, Javier Oraá-Pérez, María Isabel López Gálvez, Roberto Hornero:
Effective Fundus Image Decomposition for the Detection of Red Lesions and Hard Exudates to Aid in the Diagnosis of Diabetic Retinopathy. Sensors 20(22): 6549 (2020)
2010 – 2019
- 2019
- [j2]Jorge Jiménez-García, Roberto Romero-Oraá, María García, María Isabel López Gálvez, Roberto Hornero:
Combination of Global Features for the Automatic Quality Assessment of Retinal Images. Entropy 21(3): 311 (2019) - [j1]Roberto Romero-Oraá, Jorge Jiménez-García, María García, María Isabel López Gálvez, Javier Oraá-Pérez, Roberto Hornero:
Entropy Rate Superpixel Classification for Automatic Red Lesion Detection in Fundus Images. Entropy 21(4): 417 (2019)
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