Search Results for author: Oscar Camara

Found 10 papers, 5 papers with code

Attri-VAE: attribute-based, disentangled and interpretable representations of medical images with variational autoencoders

1 code implementation20 Mar 2022 Irem Cetin, Oscar Camara, Miguel Angel Gonzalez Ballester

In this paper, we propose a VAE approach, the Attri-VAE, that includes an attribute regularization term to associate clinical and medical imaging attributes with different regularized dimensions in the generated latent space, enabling a better disentangled interpretation of the attributes.


Generalizing electrocardiogram delineation -- Training convolutional neural networks with synthetic data augmentation

1 code implementation25 Nov 2021 Guillermo Jimenez-Perez, Juan Acosta, Alejandro Alcaine, Oscar Camara

Obtaining per-beat information is a key task in the analysis of cardiac electrocardiograms (ECG), as many downstream diagnosis tasks are dependent on ECG-based measurements.

Data Augmentation Synthetic Data Generation

Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets

no code implementations2 Oct 2020 Jaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi

To tackle this problem we introduce a probabilistic framework for joint cardiac data imputation and personalisation of cardiovascular mechanistic models, with application to brain studies with incomplete heart data.


ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural Networks

1 code implementation11 May 2020 Guillermo Jimenez-Perez, Alejandro Alcaine, Oscar Camara

We demonstrate DL can be successfully applied to low interpretative tasks by embedding ECG detection and delineation onto a segmentation framework.

Data Augmentation Semantic Segmentation

A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI

no code implementations25 Sep 2019 Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel-Angel Gonzalez Ballester, Karim Lekadir

In this paper, we present a new approach to identify CVDs from cine-MRI by estimating large pools of radiomic features (statistical, shape and textural features) encoding relevant changes in anatomical and image characteristics due to CVDs.

feature selection

Fast quasi-conformal regional flattening of the left atrium

2 code implementations16 Nov 2018 Marta Nuñez-Garcia, Gabriel Bernardino, Francisco Alarcón, Gala Caixal, Lluís Mont, Oscar Camara, Constantine Butakoff

Two-dimensional representation of 3D anatomical structures is a simple and intuitive way for analysing patient information across populations and image modalities.


Mind the gap: quantification of incomplete ablation patterns after pulmonary vein isolation using minimum path search

1 code implementation17 Jun 2018 Marta Nuñez-Garcia, Oscar Camara, Mark D. O'Neill, Reza Razavi, Henry Chubb, Constantine Butakoff

Pulmonary vein isolation (PVI) is a common procedure for the treatment of atrial fibrillation (AF).

Computational Engineering, Finance, and Science

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