Declan P. O'Regan

Orcid: 0000-0002-0691-0270

According to our database1, Declan P. O'Regan authored at least 45 papers between 2011 and 2024.

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Bibliography

2024
DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning.
IEEE Trans. Medical Imaging, April, 2024

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

LAVASET: Latent Variable Stochastic Ensemble of Trees. An ensemble method for correlated datasets with spatial, spectral, and temporal dependencies.
Bioinform., March, 2024

A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics.
CoRR, 2024

TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Data-driven generation of 4D velocity profiles in the aneurysmal ascending aorta.
Comput. Methods Programs Biomed., May, 2023

Outcome Prediction.
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023

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

Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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

Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

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

Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015

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

2013
A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images.
IEEE Trans. Medical Imaging, 2013

Temporal sparse free-form deformations.
Medical Image Anal., 2013

MRIdb: Medical Image Management for Biobank Research.
J. Digit. Imaging, 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

2012
Gradient Projection Learning for Parametric Nonrigid Registration.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

2011
Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011


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