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 009; Iulia A. Popescu; Konrad Werys; Elena Lukaschuk; Valentina Carapella; José Miguel Paiva; Nay Aung; Jennifer J. Rayner; Kenneth Fung; Henrike Puchta; et al. (MICCAI (2), 2019)

Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping. - Qiang Zhang 009; Evan Hann; Konrad Werys; Cody Wu; Iulia A. Popescu; Elena Lukaschuk; Ahmet Barutcu; Vanessa M. Ferreira; Stefan K. Piechnik (Artif. Intell. Medicine, 2020)

Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping. - Konrad Werys; Iulius Dragonu; Qiang Zhang 009; Iulia A. Popescu; Evan Hann; Henrike Puchta; Agata Kubik; Dogan Polat; Cody Wu; Niall O. Moon; Ahmet Barutcu; Vanessa M. Ferreira; et al. (SoftwareX, 2020)

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 009; Vanessa M. Ferreira; Stefan K. Piechnik (MIUA, 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 009; Ricardo A. Gonzales; Ahmet Barutcu; Stefan Neubauer; Vanessa M. Ferreira; Stefan K. Piechnik (Medical Image Anal., 2021)