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José Ignacio Fernández-Vigo
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2020 – today
- 2024
- [j5]Emilio López-Varela
, Joaquim de Moura
Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography. Appl. Soft Comput. 153: 111304 (2024) - [j4]Elena Goyanes
Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches. Biomed. Signal Process. Control. 90: 105851 (2024) - [j3]Mateo Gende, Joaquim de Moura, Patricia Robles, José Ignacio Fernández-Vigo, José M. Martínez-de-la-Casa, Julián García-Feijoó, Jorge Novo, Marcos Ortega:
Circumpapillary OCT-based multi-sector analysis of retinal layer thickness in patients with glaucoma and high myopia. Comput. Medical Imaging Graph. 118: 102464 (2024) - 2023
- [j2]Emilio López-Varela
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images. Comput. Medical Imaging Graph. 104: 102172 (2023) - [j1]José Morano
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning. Comput. Methods Programs Biomed. 229: 107296 (2023) - 2022
- [c3]Emilio López-Varela
Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA. ICIAP (1) 2022: 89-99 - [c2]José Morano
Improving AMD Diagnosis by the Simultaneous Identification of Associated Retinal Lesions. ICIAP (1) 2022: 148-159 - [c1]Elena Goyanes
Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images. IJCNN 2022: 1-8 - [i2]José Morano, Álvaro S. Hervella, José Rouco, Jorge Novo, José Ignacio Fernández-Vigo
Improving AMD diagnosis by the simultaneous identification of associated retinal lesions. CoRR abs/2205.10885 (2022) - [i1]José Morano, Álvaro S. Hervella, José Rouco, Jorge Novo, José Ignacio Fernández-Vigo, Marcos Ortega:
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning. CoRR abs/2212.00565 (2022)
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last updated on 2024-12-10 20:49 CET by the dblp team
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