Iulia A. Popescu

According to our database, Iulia A. Popescu authored at least 7 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.

Evan Hann, Iulia A. Popescu, Qiang Zhang, Ricardo A. Gonzales, Ahmet Barutcu, Stefan Neubauer, Vanessa M. Ferreira, Stefan K. Piechnik

Medical Image Anal., 2021

Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets.

Evan Hann, Ricardo A. Gonzales, Iulia A. Popescu, Qiang Zhang, Vanessa M. Ferreira, Stefan K. Piechnik

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020

Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping.

Konrad Werys, Iulius Dragonu, Qiang Zhang, Iulia A. Popescu, Evan Hann, Henrike Puchta, Agata Kubik, Dogan Polat, Cody Wu, Niall O. Moon, Ahmet Barutcu, Vanessa M. Ferreira, Stefan K. Piechnik

SoftwareX, 2020

Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping.

Qiang Zhang, Evan Hann, Konrad Werys, Cody Wu, Iulia A. Popescu, Elena Lukaschuk, Ahmet Barutcu, Vanessa M. Ferreira, Stefan K. Piechnik

Artif. Intell. Medicine, 2020

2019

Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging.

Evan Hann, Luca Biasiolli, Qiang Zhang, Iulia A. Popescu, Konrad Werys, Elena Lukaschuk, Valentina Carapella, José Miguel Paiva, Nay Aung, Jennifer J. Rayner, Kenneth Fung, Henrike Puchta, Mihir M. Sanghvi, Niall O. Moon, Katharine E. Thomas, Vanessa M. Ferreira, Steffen E. Petersen, Stefan Neubauer, Stefan K. Piechnik

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017

Automated LGE Myocardial Scar Segmentation Using MaskSLIC Supervoxels - Replicating the Clinical Method.

Iulia A. Popescu, Alessandra Borlotti, Erica Dall' Armellina, Vicente Grau

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

2016

Myocardial Scar Quantification Using SLIC Supervoxels - Parcellation Based on Tissue Characteristic Strains.

Iulia A. Popescu, Benjamin Irving, Alessandra Borlotti, Erica Dall' Armellina, Vicente Grau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016