Esther Puyol-Antón

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research

∙ 08/26/2023

Bias in Unsupervised Anomaly Detection in Brain MRI

Unsupervised anomaly detection methods offer a promising and flexible al...

0 Cosmin I. Bercea, et al. ∙

research

∙ 08/25/2023

An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation

In medical imaging, artificial intelligence (AI) is increasingly being u...

0 Tiarna Lee, et al. ∙

research

∙ 08/15/2023

Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views

Abnormal spleen enlargement (splenomegaly) is regarded as a clinical ind...

0 Zhen Yuan, et al. ∙

research

∙ 09/28/2022

Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging

Flow analysis carried out using phase contrast cardiac magnetic resonanc...

28 Emily Chan, et al. ∙

research

∙ 09/04/2022

A systematic study of race and sex bias in CNN-based cardiac MR segmentation

In computer vision there has been significant research interest in asses...

13 Tiarna Lee, et al. ∙

research

∙ 08/05/2022

Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions

In many low-to-middle income (LMIC) countries, ultrasound is used for as...

17 Germain Morilhat, et al. ∙

research

∙ 06/15/2022

Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis

INTRODUCTION: Artificial intelligence (AI) has the potential to facilita...

0 Jorge Mariscal-Harana, et al. ∙

research

∙ 05/02/2022

A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis

Cine cardiac magnetic resonance (CMR) imaging is considered the gold sta...

32 Inês P. Machado, et al. ∙

research

∙ 03/21/2022

AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography

Left ventricular (LV) function is an important factor in terms of patien...

6 Esther Puyol-Antón, et al. ∙

research

∙ 09/22/2021

The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images

Domain shift refers to the difference in the data distribution of two da...

27 Devran Ugurlu, et al. ∙

research

∙ 09/20/2021

Improved AI-based segmentation of apical and basal slices from clinical cine CMR

Current artificial intelligence (AI) algorithms for short-axis cardiac m...

17 Jorge Mariscal-Harana, et al. ∙

research

∙ 09/16/2021

Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data

Cine cardiac MRI is routinely acquired for the assessment of cardiac hea...

13 Ines Machado, et al. ∙

research

∙ 06/23/2021

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation

The subject of "fairness" in artificial intelligence (AI) refers to asse...

39 Esther Puyol-Antón, et al. ∙

research

∙ 10/05/2020

Probabilistic 3D surface reconstruction from sparse MRI information

Surface reconstruction from magnetic resonance (MR) imaging data is indi...

10 Katarína Tóthová, et al. ∙

research

∙ 09/06/2020

Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients

Sickle Cell Disease (SCD) is one of the most common genetic diseases in ...

37 Zhen Yuan, et al. ∙

research

∙ 09/01/2020

Quality-aware semi-supervised learning for CMR segmentation

One of the challenges in developing deep learning algorithms for medical...

11 Bram Ruijsink, et al. ∙

research

∙ 01/31/2020

Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control

Tissue characterisation with CMR parametric mapping has the potential to...

9 Esther Puyol-Antón, et al. ∙

research

∙ 10/11/2019

Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

Segmenting anatomical structures in medical images has been successfully...

34 Ilkay Oksuz, et al. ∙

research

∙ 10/11/2019

Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentatio

Segmenting anatomical structures in medical images has been successfully...

27 Ilkay Oksuz, et al. ∙

research

∙ 08/13/2019

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders

Maintaining good cardiac function for as long as possible is a major con...

3 Esther Puyol-Antón, et al. ∙

research

∙ 06/14/2019

Global and Local Interpretability for Cardiac MRI Classification

Deep learning methods for classifying medical images have demonstrated i...

4 James R. Clough, et al. ∙

research

∙ 06/12/2019

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space

In fully sampled cardiac MR (CMR) acquisitions, motion can lead to corru...

3 lkay Oksuz, et al. ∙

research

∙ 10/29/2018

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning

Good quality of medical images is a prerequisite for the success of subs...

2 lkay Oksuz, et al. ∙

research

∙ 08/15/2018

Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

Quality assessment of medical images is essential for complete automatio...

2 Ilkay Oksuz, et al. ∙

research

∙ 07/30/2018

Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors

Surface reconstruction is a vital tool in a wide range of areas of medic...

6 Katarína Tóthová, et al. ∙

research

∙ 07/27/2018

Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas

The availability of large scale databases containing imaging and non-ima...

0 Esther Puyol-Antón, et al. ∙

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