activity
20182022
most citedAutomatic segmentation of the Foveal Avascular Zone in ophthalmological OCT-A images

90 citations · 189 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2022★ 25 cited

Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning

José Morano, Álvaro S. Hervella, José Rouco +3

Age-related macular degeneration (AMD) is a degenerative disorder affecting the macula, a key area of the retina for visual acuity. Nowadays, it is the most frequent cause of blind…

eess.IV2022

Improving AMD diagnosis by the simultaneous identification of associated retinal lesions

José Morano, Álvaro S. Hervella, José Rouco +3

Age-related Macular Degeneration (AMD) is the predominant cause of blindness in developed countries, specially in elderly people. Moreover, its prevalence is increasing due to the…

eess.IV2020★ 74 cited

Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19

Plácido L Vidal, Joaquim de Moura, Jorge Novo +1

One of the main challenges in times of sanitary emergency is to quickly develop computer aided diagnosis systems with a limited number of available samples due to the novelty, comp…

cs.CV2018★ 90 cited

Automatic segmentation of the Foveal Avascular Zone in ophthalmological OCT-A images

Macarena Díaz, Jorge Novo, Paula Cutrín +3

Angiography by Optical Coherence Tomography is a non-invasive retinal imaging modality of recent appearance that allows the visualization of the vascular structure at predefined de…

cs.CV2018

Multimodal Registration of Retinal Images Using Domain-Specific Landmarks and Vessel Enhancement

Álvaro S. Hervella, José Rouco, Jorge Novo +1

The analysis of different image modalities is frequently performed in ophthalmology as it provides complementary information for the diagnosis and follow-up of relevant diseases, l…