selected publications
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academic article
- Etiology of Macular Edema Defined by Deep Learning in Optical Coherence Tomography Scans 2022-9-28
- SOPHIA: Sistema para adquisición, transmisión, y análisis inteligente de imágenes oftálmicas 2020-9-29
- Unsupervised method to cluster color fundus eye images and text reports from patients with diabetic retinal lesions 2020-6-1
- Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography 2019-9-1
- Automatic prediction of capillarity patterns on Optical Coherence Tomography Angiography images 2018-7-1
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chapter
- What You Need to Know About Artificial Intelligence: Technical Introduction. 13-25. 2021-1-1
- Segmentation of retinal fluids and hyperreflective foci using deep learning approach in optical coherence tomography scans 2020-11-3
- A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement. 185-194. 2020-11-20
- Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. 206-215. 2020-11-20
- A lightweight deep learning model for mobile eye fundus image quality assessment 2020-1-3
- Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. 319-327. 2018-1-1
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conference poster
- A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection 2021-1-1
- Automated Diabetic Macular Edema (DME) analysis using fine tuning with inception-resnet-v2 on oct images. 442-446. 2019-1-24
- OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes. 1423-1426. 2018-5-23
- 3D deep convolutional neural network for predicting neurosensory retinal thickness map from spectral domain optical coherence tomography volumes 2018-1-1
- Supervised online matrix factorization for histopathological multimodal retrieval 2018-1-1
- Combining morphometric features and convolutional networks fusion for glaucoma diagnosis 2017-1-1
- Convolutional network to detect exudates in eye fundus images of diabetic subjects 2017-1-1
- Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images. 146-154. 2017-1-1