Antonio M. Simoes Monteiro de Marvao

Orcid: 0000-0001-9095-5887

According to our database1, Antonio M. Simoes Monteiro de Marvao authored at least 30 papers between 2013 and 2024.

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Bibliography

2024
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy.
IEEE Trans. Medical Imaging, March, 2024

2022
MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI.
IEEE Trans. Medical Imaging, 2022

Learning a Model-Driven Variational Network for Deformable Image Registration.
IEEE Trans. Medical Imaging, 2022

2021
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation.
CoRR, 2021

Nesterov Accelerated ADMM for Fast Diffeomorphic Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models.
IEEE Trans. Medical Imaging, 2020

One-stage Multi-task Detector for 3D Cardiac MR Imaging.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Learning-Based Quality Control for Cardiac MR Images.
IEEE Trans. Medical Imaging, 2019

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.
IEEE Trans. Medical Imaging, 2019

Deep-learning cardiac motion analysis for human survival prediction.
Nat. Mach. Intell., 2019

Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network.
CoRR, 2019

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling.
CoRR, 2019

3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
IEEE Trans. Medical Imaging, 2018

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.
CoRR, 2018

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.
Bioinform., 2018

A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images.
Proceedings of the Shape in Medical Imaging, 2018

Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.
IEEE Trans. Medical Imaging, 2017

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR, 2017

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017

2016
Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Respiratory Motion Correction for 2D Cine Cardiac MR Images using Probabilistic Edge Maps.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion.
Medical Image Anal., 2015

Prediction of Clinical Information from Cardiac MRI Using Manifold Learning.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

2014
Geodesic Patch-Based Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013


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