M. Ortega

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2020, Expert Systems with Applications.

Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers

Manuel G. Penedo, Marcos Ortega, Jorge Novo, 2019, Biomed. Signal Process. Control..

Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images

Marcos Ortega, Jorge Novo, José Rouco, 2021, Inf. Fusion.

Intraretinal Fluid Pattern Characterization in Optical Coherence Tomography Images

Joaquim de Moura, Jorge Novo, Marcos Ortega, 2020, Sensors.

Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2017, KES.

A Texture-Based Method for Choroid Segmentation in Retinal EDI-OCT Images

Beatriz Remeseiro, Manuel G. Penedo, Marcos Ortega, 2015, EUROCAST.

Automatic cyst detection in OCT retinal images combining region flooding and texture analysis

Beatriz Remeseiro, Manuel G. Penedo, Marcos Ortega, 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

Hydra: A web-based system for cardiovascular analysis, diagnosis and treatment

Manuel G. Penedo, Marcos Ortega, Jorge Novo, 2017, Comput. Methods Programs Biomed..

Artery/vein Classification of Blood Vessel Tree in Retinal Imaging

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2017, VISIGRAPP.

End-to-end multi-task learning approaches for the joint epiretinal membrane segmentation and screening in OCT images

M. Ortega, J. Novo, J. D. Moura, 2022, Comput. Medical Imaging Graph..

Retinal vascular tortuosity assessment: inter-intra expert analysis and correlation with computational measurements

Marcos Ortega, Jorge Novo, José Rouco, 2018, BMC Medical Research Methodology.

Computational assessment of the retinal vascular tortuosity integrating domain-related information

L. Ramos, J. Novo, J. Rouco, 2019, Scientific Reports.

Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios

Manuel G. Penedo, Brais Cancela, Alba Fernández, 2013, Expert Syst. Appl..

Robust segmentation of retinal layers in optical coherence tomography images based on a multistage active contour model

M. G. Penedo, M.G. Penedo, M. Ortega, 2019, Heliyon.

Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models

M. Ortega, J. Novo, J. D. Moura, 2023, Biomedical Signal Processing and Control.

Self-supervised multimodal reconstruction of retinal images over paired datasets

Marcos Ortega, Jorge Novo, José Rouco, 2020, Expert Syst. Appl..

Personal verification based on extraction and characterisation of retinal feature points

Manuel G. Penedo, Marcos Ortega, María J. Carreira, 2009, J. Vis. Lang. Comput..

Vascular Landmark Detection in Retinal Images

Manuel G. Penedo, Marcos Ortega, Jorge Novo, 2009, EUROCAST.

A web-based framework for anatomical assessment of the retina using OCT

Manuel G. Penedo, Marcos Ortega, Pablo Charlón, 2015 .

Deep Convolutional Approaches for the Analysis of COVID-19 Using Chest X-Ray Images From Portable Devices

J. de Moura, L. Ramos, P. L. Vidal, 2020, IEEE Access.

Texture description in local scale using texton histograms with quadrature filter universal dictionaries

Manuel G. Penedo, Marcos Ortega, José Rouco, 2011 .

Multimodal image encoding pre-training for diabetic retinopathy grading

Álvaro S. Hervella, M. Ortega, J. Novo, 2022, Comput. Biol. Medicine.

Precise Segmentation of the Optic Disc in Retinal Fundus Images

Manuel G. Penedo, Marcos Ortega, María J. Carreira, 2011, EUROCAST.

Wivern: a Web-Based System Enabling Computer-Aided Diagnosis and Interdisciplinary Expert Collaboration for Vascular Research

Manuel G. Penedo, Marcos Ortega, Jorge Novo, 2017, Journal of Medical and Biological Engineering.

Wivern: a Web-Based System Enabling Computer-Aided Diagnosis and Interdisciplinary Expert Collaboration for Vascular Research

M. Ortega, J. Novo, A. Campilho, 2017, Journal of Medical and Biological Engineering.

Automatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct Angiographies

Jorge Novo, Marcos Ortega, Francisco Gómez-Ulla, 2019, Sensors.

Modeling, Localization, and Segmentation of the Foveal Avascular Zone on Retinal OCT-Angiography Images

Jorge Novo, Marcos Ortega, Enrique J. Carmona, 2020, IEEE Access.

A Wavefront Marching Method for Solving the Eikonal Equation on Cartesian Grids

Manuel G. Penedo, Brais Cancela, Marcos Ortega, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Intraretinal fluid map generation in optical coherence tomography images

Manuel G. Penedo, Marcos Ortega, Joaquim de Moura, 2020 .

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

Marcos Ortega, Jorge Novo, José Rouco, 2018, KES.

Unsupervised Anomaly Map for Image-Based Screening

Marcos Ortega, José Rouco, Shaon Sutradhar, 2019, EUROCAST.

Cystoid Fluid Color Map Generation in Optical Coherence Tomography Images Using a Densely Connected Convolutional Neural Network

Joaquim de Moura, Jorge Novo, Marcos Ortega, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Deep Feature Analysis in a Transfer Learning-based Approach for the Automatic Identification of Diabetic Macular Edema

Joaquim de Moura, Jorge Novo, Marcos Ortega, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Automatic macular edema identification and characterization using OCT images

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2018, Comput. Methods Programs Biomed..

Automatic Identification of Macular Edema in Optical Coherence Tomography Images

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2018, VISIGRAPP.

Fully automated identification and clinical classification of macular edema using optical coherence tomography images

M. Ortega, J. Novo, J. D. Moura, 2020 .

Joint Diabetic Macular Edema Segmentation and Characterization in OCT Images

Marcos Ortega, Jorge Novo, Gabriela Samagaio, 2020, Journal of Digital Imaging.

Automatic processing of audiometry sequences for objective screening of hearing loss

Manuel G. Penedo, Brais Cancela, Alba Fernández, 2012, Expert Syst. Appl..

Automatic Analysis of the Patient's Conscious Responses to the Emission of Auditory Stimuli during the Performance of an Audiometry

Manuel G. Penedo, Brais Cancela, Alba Fernández, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

Measuring response times to auditory stimuli during an audiometry

Manuel G. Penedo, Brais Cancela, Alba Fernández, 2011, ISABEL '11.

Contextual and Skin Color Region Information for Face and Arms Location

Manuel G. Penedo, Brais Cancela, Alba Fernández, 2011, EUROCAST.

Automatic identification and characterization of the epiretinal membrane in OCT images.

Marcos Ortega, Jorge Novo, Pablo Charlón, 2019, Biomedical optics express.

Feature Definition and Selection for Epiretinal Membrane Characterization in Optical Coherence Tomography Images

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2017, ICIAP.

Retinal vascular analysis in a fully automated method for the segmentation of DRT edemas using OCT images

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2019, KES.

Retinal Image Understanding Emerges from Self-Supervised Multimodal Reconstruction

Marcos Ortega, Jorge Novo, José Rouco, 2018, MICCAI.

A Snake for Retinal Vessel Segmentation

Manuel G. Penedo, Marcos Ortega, María J. Carreira, 2007, IbPRIA.

On the use of a minimal path approach for target trajectory analysis

Manuel G. Penedo, Brais Cancela, Marcos Ortega, 2013, Pattern Recognit..

Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images

M. Hortas, M. Ortega, J. Novo, 2021, Expert Systems with Applications.

Automatic detection and characterisation of retinal vessel tree bifurcations and crossovers in eye fundus images

Manuel G. Penedo, Marcos Ortega, José Rouco, 2011, Comput. Methods Programs Biomed..

An end-to-end deep learning approach for simultaneous background modeling and subtraction

Marcos Ortega, Jorge Novo, José Rouco, 2019, BMVC.

Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction

Marcos Ortega, Jorge Novo, José Rouco, 2020, Appl. Soft Comput..

Path Analysis in Multiple-Target Video Sequences

Manuel G. Penedo, Brais Cancela, Alba Fernández, 2011, ICIAP.

Solving Multiple-Target Tracking Using Adaptive Filters

Manuel G. Penedo, Brais Cancela, Alba Fernández, 2011, ICIAR.

Human Detection and Tracking under Complex Activities

Manuel G. Penedo, Brais Cancela, Marcos Ortega, 2013, VISAPP.

Context encoder transfer learning approaches for retinal image analysis

Álvaro S. Hervella, M. Ortega, J. Novo, 2023, Comput. Biol. Medicine.

Portable Chest X-ray Synthetic Image Generation for the COVID-19 Screening

M. Ortega, J. Novo, J. de Moura, 2021, Engineering Proceedings.

Context encoder self-supervised approaches for eye fundus analysis

Álvaro S. Hervella, M. Ortega, J. Novo, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Automatic Segmentation and Visualisation of the Epirretinal Membrane in OCT Scans Using Densely Connected Convolutional Networks

Marcos Ortega, Jorge Novo, Pablo Charlón, 2021, Engineering Proceedings.

Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images

Jorge Novo, Marcos Ortega, José Rouco, 2019, Comput. Methods Programs Biomed..

Automatic segmentation of the foveal avascular zone in ophthalmological OCT-A images

Manuel G. Penedo, Marcos Ortega, Jorge Novo, 2018, PloS one.

Automatic ECG Screening as a Supporting Tool on a Telemedicine Framework

Manuel G. Penedo, Jorge Novo, José Rouco, 2019, EUROCAST.

Automated Segmentation of the Central Serous Chorioretinopathy fluid regions using Optical Coherence Tomography Scans

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2021, 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS).

“White Coat” Effect Study as a Subclinical Target Organ Damage by Means of a Web Platform

Manuel G. Penedo, Marcos Ortega, Jorge Novo, 2016 .

Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths

Manuel G. Penedo, Brais Cancela, Marcos Ortega, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screening

Marcos Ortega, José Rouco, Shaon Sutradhar, 2019, ESANN.

A new generative approach for optical coherence tomography data scarcity: unpaired mutual conversion between scanning presets

M. Ortega, J. Novo, Mateo Gende, 2023, Medical & Biological Engineering & Computing.

Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis

Marcos Ortega, Jorge Novo, José Rouco, 2021, Expert Syst. Appl..

Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data

Jorge Novo, Marcos Ortega, José Rouco, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Impact of the Circular Region of Interest on the Performance of Multimodal Reconstruction of Retinal Images

Jorge Novo, Marcos Ortega, José Rouco, 2019, EUROCAST.

Multimodal reconstruction of retinal images over unpaired datasets using cyclical generative adversarial networks

Marcos Ortega, Jorge Novo, José Rouco, 2021, Generative Adversarial Networks for Image-to-Image Translation.

Automatic Identification of Diabetic Macular Edema Using a Transfer Learning-Based Approach

Marcos Ortega, Joaquim de Moura, Jorge Novo, 2019, Proceedings.

Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images

Manuel G. Penedo, Joaquim de Moura, Jorge Novo, 2019, EUROCAST.

Intraretinal fluid identification via enhanced maps using optical coherence tomography images.

Marcos Ortega, Jorge Novo, M. G. Penedo, 2018, Biomedical optics express.

Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning

M. Ortega, J. Novo, J. García-Feijóo, 2023, Quantitative imaging in medicine and surgery.

A Methodology for the Analysis of Spontaneous Reactions in Automated Hearing Assessment

Manuel G. Penedo, Alba Fernández, Marcos Ortega, 2016, IEEE Journal of Biomedical and Health Informatics.

Choroid Characterization in EDI OCT Retinal Images Based on Texture Analysis

Beatriz Remeseiro, Manuel G. Penedo, Marcos Ortega, 2015, ICAART.

Deformable registration of multimodal retinal images using a weakly supervised deep learning approach

Enrique J. Carmona, M. Ortega, J. Novo, 2023, Neural Computing and Applications.

Explainable learning to analyze the outcome of COVID-19 patients using clinical data

M. Ortega, J. Novo, J. de Moura, 2023, International Conference on Knowledge-Based Intelligent Information & Engineering Systems.

Sirius: A web-based system for retinal image analysis

Jorge Novo, Noelia Barreira, Francisco Gómez-Ulla, 2010, Int. J. Medical Informatics.

Biomedical Signal Processing and Control

M. Ortega, J. Novo, J. D. Moura, 2023 .

Texture Description in Local Scale Using Texton Histograms with Universal Dictionary

Manuel G. Penedo, Marcos Ortega, Antonio Mosquera González, 2009, 2009 Digital Image Computing: Techniques and Applications.

Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images

M. Ortega, J. Novo, J. D. Moura, 2024, Medical & biological engineering & computing.

Multi-Modal Self-Supervised Pre-Training for Joint Optic Disc and Cup Segmentation in Eye Fundus Images

Marcos Ortega, Jorge Novo, José Rouco, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images

M. Ortega, J. Novo, J. de Moura, 2023, KES.

Automatic Identification and Intuitive Map Representation of the Epiretinal Membrane Presence in 3D OCT Volumes

Joaquim de Moura, Jorge Novo, Pablo Charlón, 2019, Sensors.

Retinal Vasculature Identification and Characterization Using OCT Imaging

M. Ortega, J. Novo, J. Rouco, 2018, OCT - Applications in Ophthalmology.