Joaquim de Moura

81 papers B 20Misc 2Journal 36Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automatic identification of neurodegenerative diseases with 3D point cloud-based analysis using geometric deep learning in OCT retinal images.
Biomed. Signal Process. Control.
Lorena Álvarez-Rodríguez, Ana Pueyo, Joaquim de Moura, Iván García Prego, Elisa Vilades, Elena Garcia-Martin, Clara I. Sánchez, Jorge Novo, Marcos Ortega
2026 J jnl
Domain-specific multi-transfer approaches for deep learning-based glaucoma screening in high myopia patients.
Expert Syst. Appl.
Elena Goyanes, Joaquim de Moura, Antoine Lelong, Patricia Robles-Amor, José M. Martínez-de-la-Casa, Javier Moreno-Montañes, Francisco J. Muñoz-Negrete, Ignacio Uña, Jorge Novo, Marcos Ortega
2026 J jnl
Inter-expert reliability in multi-field-of-view automatic drusen segmentation analysis using optical coherence tomography.
Biomed. Signal Process. Control.
Elena Goyanes, Saúl Leyva, Paula Herrero, Joaquim de Moura, Jorge Novo, Marcos Ortega
2025 J jnl
3D Features Fusion for Automated Segmentation of Fluid Regions in CSCR Patients: An OCT-based Photodynamic Therapy Response Analysis.
J. Imaging Inform. Medicine
Elena Goyanes, Joaquim de Moura, José Ignacio Fernández-Vigo, Julián García-Feijoó, Jorge Novo, Marcos Ortega
2025 B conf
Geometric Deep Learning for Essential Tremor Screening Using OCT-Derived 3D Point Clouds.
IJCNN
Lorena Álvarez-Rodríguez, Joaquim de Moura, Elisa Vilades, Elena Garcia-Martin, Jorge Novo, Marcos Ortega
2025 J jnl
Heatmap-guided balanced multi-task learning approach for glistening characterization in OCT images.
Biomed. Signal Process. Control.
Lorena Álvarez-Rodríguez, Joaquim de Moura, José Ignacio Fernández-Vigo, Ana Macarro-Merino, José Ángel Fernández-Vigo, Jorge Novo, Marcos Ortega
2025 B conf
Multi-depth transfer learning-based approaches via generative models for foveal avascular zone segmentation in OCTA images.
IJCNN
Ángel Regueiro, Elena Goyanes, Joaquim de Moura, Jorge Novo, Marcos Ortega
2025 J jnl
Semantic-guided generative latent diffusion augmentation approaches for improving the neovascularization diagnosis in OCT-A imaging.
Pattern Recognit. Lett.
Daniel I. Morís, Joaquim de Moura, Enrique J. Carmona, Jorge Novo, Marcos Ortega
2024 B conf
3D Point Cloud Analysis via Transformer-Based Graph Learning for Multiple Sclerosis Screening in OCT Images.
KES
Lorena Álvarez-Rodríguez, Iván García Prego, Joaquim de Moura, Ana Pueyo, Elisa Vilades, Elena Garcia-Martin, Clara I. Sánchez, Jorge Novo, Marcos Ortega
2024 J jnl
Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images.
Medical Biol. Eng. Comput.
Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega
2024 J jnl
Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches.
Biomed. Signal Process. Control.
Elena Goyanes, Joaquim de Moura, José Ignacio Fernández-Vigo, José Ángel Fernández-Vigo, Jorge Novo, Marcos Ortega
2024 J jnl
Circumpapillary OCT-based multi-sector analysis of retinal layer thickness in patients with glaucoma and high myopia.
Comput. Medical Imaging Graph.
Mateo Gende, Joaquim de Moura, Patricia Robles, José Ignacio Fernández-Vigo, José M. Martínez-de-la-Casa, Julián García-Feijoó, Jorge Novo, Marcos Ortega
2024 J jnl
Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography.
Appl. Soft Comput.
Emilio López-Varela, Joaquim de Moura, Jorge Novo, José Ignacio Fernández-Vigo, Francisco Javier Moreno-Morillo, Julián García-Feijoó, Marcos Ortega
2024 J jnl
Fully automatic deep convolutional approaches for the screening of neurodegeneratives diseases using multi-view OCT images.
Artif. Intell. Medicine
Lorena Álvarez-Rodríguez, Ana Pueyo, Joaquim de Moura, Elisa Vilades, Elena Garcia-Martin, Clara I. Sánchez, Jorge Novo, Marcos Ortega
2024 B conf
Fully-automatic end-to-end approaches for 3D drusen segmentation in Optical Coherence Tomography images.
KES
Elena Goyanes, Saúl Leyva, Paula Herrero, Joaquim de Moura, Jorge Novo, Marcos Ortega
2024 J jnl
Intra- and Inter-expert Validation of an Automatic Segmentation Method for Fluid Regions Associated with Central Serous Chorioretinopathy in OCT Images.
J. Imaging Inform. Medicine
Mateo Gende, Lúa Castelo, Joaquim de Moura, Jorge Novo, Marcos Ortega
2023 J jnl
A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets.
Medical Biol. Eng. Comput.
Mateo Gende, Joaquim de Moura, Jorge Novo, Manuel G. Penedo, Marcos Ortega
2023 J jnl
Automatic Segmentation of Retinal Layers in Multiple Neurodegenerative Disorder Scenarios.
IEEE J. Biomed. Health Informatics
Mateo Gende, Víctor Mallen, Joaquim de Moura, Beatriz Cordón, Elena Garcia-Martin, Clara I. Sánchez, Jorge Novo, Marcos Ortega
2023 J jnl
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models.
Biomed. Signal Process. Control.
Daniel I. Morís, Joaquim de Moura, Pedro J. Marcos, Enrique Míguez Rey, Jorge Novo, Marcos Ortega
2023 J jnl
Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images.
Appl. Intell.
Plácido L. Vidal, Joaquim de Moura, Pablo Almuina, María Isabel Fernández, Marcos Ortega, Jorge Novo
2023 B conf
Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images.
KES
Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega
2023 B conf
Explainable learning to analyze the outcome of COVID-19 patients using clinical data.
KES
Daniel Olañeta, Daniel I. Morís, Joaquim de Moura, Pedro J. Marcos, Enrique Míguez Rey, Jorge Novo, Marcos Ortega
2023 J jnl
Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images.
Comput. Medical Imaging Graph.
Emilio López-Varela, Joaquim de Moura, Jorge Novo, José Ignacio Fernández-Vigo, Francisco Javier Moreno-Morillo, Marcos Ortega
2023 J jnl
Image-to-image translation with Generative Adversarial Networks via retinal masks for realistic Optical Coherence Tomography imaging of Diabetic Macular Edema disorders.
Biomed. Signal Process. Control.
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Manuel G. Penedo, Marcos Ortega
2023 J jnl
Multivendor fully automatic uncertainty management approaches for the intuitive representation of DME fluid accumulations in OCT images.
Medical Biol. Eng. Comput.
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega
2023 Misc conf
Transformer-Based Multi-Prototype Approach for Diabetic Macular Edema Analysis in OCT Images.
ICASSP
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega, Jaime S. Cardoso
2022 — conf
Analysis of Imbalanced Datasets in the Performance of Deep Learning Approaches for COVID-19 Screening from Chest X-ray Imaging: Impact of Sex and Age Factors.
XoveTIC
Lorena Álvarez, Joaquim de Moura, Lucía Ramos, Jorge Novo, Marcos Ortega
2022 — conf
Clinical Decision Support Tool for the Identification of Pathological Structures Associated with Age-Related Macular Degeneration.
EUROCAST
Iván Barrientos, Joaquim de Moura, Jorge Novo, Marcos Ortega, Manuel G. Penedo
2022 J jnl
End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images.
Comput. Medical Imaging Graph.
Mateo Gende, Joaquim de Moura, Jorge Novo, Marcos Ortega
2022 J jnl
Feature definition and comprehensive analysis on the robust identification of intraretinal cystoid regions using optical coherence tomography images.
Pattern Anal. Appl.
Joaquim de Moura, Plácido L. Vidal, Jorge Novo, José Rouco, Manuel G. Penedo, Marcos Ortega
2022 J jnl
Fully automatic deep convolutional approaches for the analysis of COVID-19 using chest X-ray images.
Appl. Soft Comput.
Joaquim de Moura, Jorge Novo, Marcos Ortega
2022 B conf
Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images.
IJCNN
Elena Goyanes, Joaquim de Moura, Jorge Novo, José Ignacio Fernández-Vigo, José Ángel Fernández-Vigo, Marcos Ortega
2022 — conf
High/Low Quality Style Transfer for Mutual Conversion of OCT Images Using Contrastive Unpaired Translation Generative Adversarial Networks.
ICIAP (1)
Mateo Gende, Joaquim de Moura, Jorge Novo, Marcos Ortega
2022 — conf
Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images.
EUROCAST
Mateo Gende, Daniel Iglesias Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega
2022 — conf
Multi-task Convolutional Neural Networks for the End-to-end Simultaneous Segmentation and Screening of the Epiretinal Membrane in OCT Images.
XoveTIC
Mateo Gende, Joaquim de Moura, Jorge Novo, Manuel F. González Penedo, Marcos Ortega
2022 — conf
Performance Analysis of GAN Approaches in the Portable Chest X-Ray Synthetic Image Generation for COVID-19 Screening.
EUROCAST
Daniel Iglesias Morís, Mateo Gende, Joaquim de Moura, Jorge Novo, Marcos Ortega
2022 — conf
Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening.
XoveTIC
Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega
2022 — conf
Pulmonary-Restricted COVID-19 Informative Visual Screening Using Chest X-ray Images from Portable Devices.
ICIAP (1)
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega
2022 — conf
Region of interest-bounded COVID-19 lung screening using images from portable X-ray devices.
XoveTIC
Plácido Francisco Lizancos Vidal, Joaquim de Moura, Lucía Ramos, Jorge Novo, Marcos Ortega
2022 — conf
Robust Deep Learning-Based Approach for Retinal Layer Segmentation in Optical Coherence Tomography Images.
EUROCAST
Alejandro Budiño, Lucía Ramos, Joaquim de Moura, Jorge Novo, Manuel G. Penedo, Marcos Ortega
2022 J jnl
Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images.
Pattern Recognit. Lett.
Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega
2021 B conf
Automated Segmentation of the Central Serous Chorioretinopathy fluid regions using Optical Coherence Tomography Scans.
CBMS
Joaquim de Moura, Jorge Novo, Marcos Ortega, Noelia Barreira, Manuel G. Penedo
2021 J jnl
Automatic Segmentation and Intuitive Visualisation of the Epiretinal Membrane in 3D OCT Images Using Deep Convolutional Approaches.
IEEE Access
Mateo Gende, Joaquim de Moura, Jorge Novo, Pablo Charlón, Marcos Ortega
2021 B conf
Comparative and Behavioural Analysis of a Diffuse Paradigm for the Evaluation of Diabetic Macular Edema in OCT images.
CBMS
Plácido L. Vidal, Joaquim de Moura, Macarena Díaz, Jorge Novo, Marcos Ortega
2021 B conf
Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices.
ESANN
Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega
2021 Misc conf
Cycle Generative Adversarial Network Approaches to Produce Novel Portable Chest X-Rays Images for Covid-19 Diagnosis.
ICASSP
Daniel I. Morís, Joaquim de Moura, Jorge Novo, Marcos Ortega
2021 J jnl
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19.
Expert Syst. Appl.
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega
2020 J jnl
Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images From Portable Devices.
IEEE Access
Joaquim de Moura, Lucía Ramos, Plácido Francisco Lizancos Vidal, Milena Cruz, Laura Abelairas López, Eva Castro Lopez, Jorge Novo, Marcos Ortega
2020 J jnl
Intraretinal Fluid Pattern Characterization in Optical Coherence Tomography Images.
Sensors
Joaquim de Moura, Plácido L. Vidal, Jorge Novo, José Rouco, Manuel G. Penedo, Marcos Ortega
2020 J jnl
Joint Diabetic Macular Edema Segmentation and Characterization in OCT Images.
J. Digit. Imaging
Joaquim de Moura, Gabriela Samagaio, Jorge Novo, Pablo Almuina, María Isabel Fernández, Marcos Ortega
2020 J jnl
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19.
CoRR
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega
2019 J jnl
Artery/Vein Vessel Tree Identification in Near-Infrared Reflectance Retinographies.
J. Digit. Imaging
Joaquim de Moura, Jorge Novo, José Rouco, Pablo Charlón, Marcos Ortega
2019 J jnl
Automatic Identification and Intuitive Map Representation of the Epiretinal Membrane Presence in 3D OCT Volumes.
Sensors
Sergio Baamonde, Joaquim de Moura, Jorge Novo, Pablo Charlón, Marcos Ortega
2019 J jnl
Automatic Identification and Representation of the Cornea-Contact Lens Relationship Using AS-OCT Images.
Sensors
Pablo Cabaleiro, Joaquim de Moura, Jorge Novo, Pablo Charlón, Marcos Ortega
2019 — conf
Automatic Identification of Diabetic Macular Edema Biomarkers Using Optical Coherence Tomography Scans.
EUROCAST (2)
Joaquim de Moura, Gabriela Samagaio, Jorge Novo, Pablo Charlón, María Isabel Fernández, Francisco Gómez-Ulla, Marcos Ortega
2019 J jnl
Automatic evaluation of eye gestural reactions to sound in video sequences.
Eng. Appl. Artif. Intell.
Alba Fernández, Marcos Ortega, Joaquim de Moura, Jorge Novo, Manuel G. Penedo
2019 B conf
Automatic wide field registration and mosaicking of OCTA images using vascularity information.
KES
Macarena Díaz, Joaquim de Moura, Jorge Novo, Marcos Ortega
2019 B conf
Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans.
ESANN
Iago Otero Coto, Plácido Francisco Lizancos Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega
2019 B conf
Cystoid Fluid Color Map Generation in Optical Coherence Tomography Images Using a Densely Connected Convolutional Neural Network.
IJCNN
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Marcos Ortega
2019 B conf
Deep Feature Analysis in a Transfer Learning-based Approach for the Automatic Identification of Diabetic Macular Edema.
IJCNN
Joaquim de Moura, Jorge Novo, Marcos Ortega
2019 — conf
Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images.
EUROCAST (2)
Plácido L. Vidal, Joaquim de Moura, Jorge Novo, Manuel G. Penedo, Marcos Ortega
2019 B conf
Retinal vascular analysis in a fully automated method for the segmentation of DRT edemas using OCT images.
KES
Joaquim de Moura, Jorge Novo, Pablo Charlón, María Isabel Fernández, Marcos Ortega
2018 B conf
Automatic Characterization of the Serous Retinal Detachment Associated with the Subretinal Fluid Presence in Optical Coherence Tomography Images.
KES
Joaquim de Moura, Jorge Novo, Susana Penas, Marcos Ortega, Jorge Alves Silva, Ana Maria Mendonça
2018 — conf
Automatic Identification of Macular Edema in Optical Coherence Tomography Images.
VISIGRAPP (4: VISAPP)
Gabriela Samagaio, Aída Estévez, Joaquim de Moura, Jorge Novo, Marcos Ortega, María Isabel Fernández
2018 B conf
Automatic Segmentation of Diffuse Retinal Thickening Edemas Using Optical Coherence Tomography Images.
KES
Gabriela Samagaio, Joaquim de Moura, Jorge Novo, Marcos Ortega
2018 J jnl
Automatic macular edema identification and characterization using OCT images.
Comput. Methods Programs Biomed.
Gabriela Samagaio, Aída Estévez, Joaquim de Moura, Jorge Novo, María Isabel Fernández, Marcos Ortega
2018 J jnl
Detection of reactions to sound via gaze and global eye motion analysis using camera streaming.
Mach. Vis. Appl.
Alba Fernández, Marcos Ortega, Joaquim de Moura, Jorge Novo, Manuel G. Penedo
2017 — conf
Artery/vein Classification of Blood Vessel Tree in Retinal Imaging.
VISIGRAPP (4: VISAPP)
Joaquim de Moura, Jorge Novo, Marcos Ortega, Noelia Barreira, Pablo Charlón
2017 — conf
Automatic Detection of Blood Vessels in Retinal OCT Images.
IWINAC (2)
Joaquim de Moura, Jorge Novo, José Rouco, Manuel G. Penedo, Marcos Ortega
2017 — conf
Automatic Detection of Epiretinal Membrane in OCT Images by Means of Local Luminosity Patterns.
IWANN (1)
Sergio Baamonde, Joaquim de Moura, Jorge Novo, Marcos Ortega
2017 B conf
Automatic Identification of Intraretinal Cystoid Regions in Optical Coherence Tomography.
AIME
Joaquim de Moura, Jorge Novo, José Rouco, Manuel G. Penedo, Marcos Ortega
2017 — conf
Automatic Retinal Vascularity Identification and Artery/Vein Classification Using Near-Infrared Reflectance Retinographies.
VISIGRAPP (Revised Selected Papers)
Joaquim de Moura, Jorge Novo, Marcos Ortega, Noelia Barreira, Pablo Charlón
2017 B conf
Automatic vessel detection by means of brightness profile characterization in OCT images.
KES
Joaquim de Moura, Jorge Novo, José Rouco, Manuel G. Penedo, Marcos Ortega
2017 J jnl
Enhanced visualization of the retinal vasculature using depth information in OCT.
Medical Biol. Eng. Comput.
Joaquim de Moura, Jorge Novo, Pablo Charlón, Noelia Barreira, Marcos Ortega
2017 — conf
Feature Definition and Selection for Epiretinal Membrane Characterization in Optical Coherence Tomography Images.
ICIAP (2)
Sergio Baamonde, Joaquim de Moura, Jorge Novo, José Rouco, Marcos Ortega
2017 B conf
Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography.
KES
Joaquim de Moura, Plácido L. Vidal, Jorge Novo, José Rouco, Marcos Ortega
2017 — conf
Interactive Three-Dimensional Visualization System of the Vascular Structure in OCT Retinal Images.
EUROCAST (2)
Joaquim de Moura, Jorge Novo, Marcos Ortega, Noelia Barreira, Manuel G. Penedo
2017 — conf
Optical Coherence Tomography Denoising by Means of a Fourier Butterworth Filter-Based Approach.
ICIAP (2)
Gabriela Samagaio, Joaquim de Moura, Jorge Novo, Marcos Ortega
2016 — conf
3D Retinal Vessel Tree Segmentation and Reconstruction with OCT Images.
ICIAR
Joaquim de Moura, Jorge Novo, Marcos Ortega, Pablo Charlón
2016 — conf
Vessel Tree Extraction and Depth Estimation with OCT Images.
CAEPIA
Joaquim de Moura, Jorge Novo, Marcos Ortega, Noelia Barreira, Manuel G. Penedo
2015 — conf
Detection and Characterization of the Sclera - Evaluation of Eye Gestural Reactions to Auditory Stimuli.
VISAPP (2)
Alba Fernández, Joaquim de Moura, Marcos Ortega, Manuel G. Penedo