Iulia A. Popescu

发表

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

Stefan K. Piechnik, Stefan Neubauer, Qiang Zhang, 2021, Medical Image Anal..

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

Stefan K. Piechnik, Qiang Zhang, Evan Hann, 2021, MIUA.

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

Qiang Zhang, Konrad Werys, Stefan K. Piechnik, 2020, SoftwareX.

Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls

Iulia A. Popescu, S. Piechnik, S. Neubauer, 2021, International journal of cardiology.

Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning–Based Virtual Native Enhancement

Iulia A. Popescu, S. Piechnik, Qiang Zhang, 2022, Circulation.

Quality assurance of quantitative cardiac T1-mapping in multicenter clinical trials – A T1 phantom program from the hypertrophic cardiomyopathy registry (HCMR) study

Stefan L. Zimmerman, James A. White, Iulia A. Popescu, 2021, International journal of cardiology.

Toward Replacing Late Gadolinium Enhancement With Artificial Intelligence Virtual Native Enhancement for Gadolinium-Free Cardiovascular Magnetic Resonance Tissue Characterization in Hypertrophic Cardiomyopathy

Iulia A. Popescu, S. Piechnik, C. Kramer, 2021, Circulation.

Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods

Iulia A. Popescu, S. Piechnik, Qiang Zhang, 2021, Scientific Reports.

MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks

Iulia A. Popescu, S. Piechnik, K. Werys, 2021, Frontiers in Cardiovascular Medicine.

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

Konrad Werys, Stefan K. Piechnik, Qiang Zhang, 2020, Artif. Intell. Medicine.

Standardization of T1-mapping in cardiovascular magnetic resonance using clustered structuring for benchmarking normal ranges.

Iulia A. Popescu, S. Piechnik, K. Werys, 2020, International journal of cardiology.

Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images

Iulia A. Popescu, S. Piechnik, V. Ferreira, 2023, Frontiers in Cardiovascular Medicine.

Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study

Thomas E. Nichols, Paul J. Harrison, Jennifer M. Brown, 2023, The Lancet. Respiratory medicine.

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

Konrad Werys, Stefan K. Piechnik, Stefan Neubauer, 2019, MICCAI.

Misclassification of females and males in cardiovascular magnetic resonance parametric mapping: the importance of sex-specific normal ranges for diagnosis of health vs. disease

Iulia A. Popescu, S. Piechnik, V. Ferreira, 2023, European heart journal. Cardiovascular Imaging.