Iulia A. Popescu

720 total citations
12 papers, 242 citations indexed

About

Iulia A. Popescu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Iulia A. Popescu has authored 12 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cardiology and Cardiovascular Medicine and 1 paper in Biomedical Engineering. Recurrent topics in Iulia A. Popescu's work include Advanced MRI Techniques and Applications (11 papers), Cardiac Imaging and Diagnostics (11 papers) and Cardiovascular Function and Risk Factors (7 papers). Iulia A. Popescu is often cited by papers focused on Advanced MRI Techniques and Applications (11 papers), Cardiac Imaging and Diagnostics (11 papers) and Cardiovascular Function and Risk Factors (7 papers). Iulia A. Popescu collaborates with scholars based in United Kingdom, United States and Australia. Iulia A. Popescu's co-authors include Stefan K. Piechnik, Vanessa M. Ferreira, Qiang Zhang, Ahmet Barutçu, Stefan Neubauer, Ricardo A. Gonzales, Elena Lukaschuk, Matthew K. Burrage, Konrad Werys and Mayooran Shanmuganathan and has published in prestigious journals such as Circulation, Scientific Reports and Medical Image Analysis.

In The Last Decade

Iulia A. Popescu

11 papers receiving 241 citations

Peers

Iulia A. Popescu

RNMI

CCM

SURGE

Aakash Shanbhag United States

Aditya Killekar United States

Ananya Singh United States

Gabriel Maliakal United States

Lien-Hsin Hu Taiwan

Carlo Biffi United Kingdom

Nishith Khandwala United States

Georgios Rampidis Greece

Patrick Pierce United States

Takayuki Shibutani Japan

Aakash Shanbhag United States

Iulia A. Popescu

210 ×1.1

RNMI

84 ×0.8

CCM

111 ×1.9

14 ×0.6

17 ×1.1

SURGE

Citations per year, relative to Iulia A. Popescu Iulia A. Popescu (= 1×) peers Aakash Shanbhag

Countries citing papers authored by Iulia A. Popescu

Since Specialization

Citations

This map shows the geographic impact of Iulia A. Popescu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Iulia A. Popescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iulia A. Popescu more than expected).

Fields of papers citing papers by Iulia A. Popescu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iulia A. Popescu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Iulia A. Popescu. The network helps show where Iulia A. Popescu may publish in the future.

Co-authorship network of co-authors of Iulia A. Popescu

This figure shows the co-authorship network connecting the top 25 collaborators of Iulia A. Popescu. A scholar is included among the top collaborators of Iulia A. Popescu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Iulia A. Popescu. Iulia A. Popescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Mahmod, Masliza, Sacha Bull, Alessandra Borlotti, et al.. (2025). Left atrial volume quantification by transthoracic echocardiography versus cardiovascular magnetic resonance: a systematic review and meta-analysis. The International Journal of Cardiovascular Imaging. 41(9). 1657–1669.

Thomas, Katharine, Elena Lukaschuk, Mayooran Shanmuganathan, et al.. (2023). Misclassification of females and males in cardiovascular magnetic resonance parametric mapping: the importance of sex-specific normal ranges for diagnosis of health vs. disease. European Heart Journal - Cardiovascular Imaging. 25(3). 339–346. 3 indexed citations

Gonzales, Ricardo A., Iulia A. Popescu, Matthew K. Burrage, et al.. (2023). Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images. Frontiers in Cardiovascular Medicine. 10. 1213290–1213290. 3 indexed citations

Zhang, Qiang, Matthew K. Burrage, Mayooran Shanmuganathan, et al.. (2022). Artificial Intelligence for Contrast-Free MRI: Scar Assessment in Myocardial Infarction Using Deep Learning–Based Virtual Native Enhancement. Circulation. 146(20). 1492–1503. 54 indexed citations

Burrage, Matthew K., Mayooran Shanmuganathan, Ambra Masi, et al.. (2021). Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls. International Journal of Cardiology. 333. 239–245. 14 indexed citations

Burrage, Matthew K., Mayooran Shanmuganathan, Qiang Zhang, et al.. (2021). Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods. Scientific Reports. 11(1). 13568–13568. 6 indexed citations

Gonzales, Ricardo A., Qiang Zhang, Bartłomiej W. Papież, et al.. (2021). MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks. Frontiers in Cardiovascular Medicine. 8. 768245–768245. 11 indexed citations

Burrage, Matthew K., Iulia A. Popescu, Ahmet Barutçu, et al.. (2021). Toward replacing late gadolinium enhancement with artificial intelligence virtual native enhancement for gadolinium-free cardiovascular magnetic resonance tissue characterization in hypertrophic cardiomyopathy. Oxford University Research Archive (ORA) (University of Oxford). 44 indexed citations

Popescu, Iulia A., Qiang Zhang, Ricardo A. Gonzales, et al.. (2021). Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping. Medical Image Analysis. 71. 102029–102029. 52 indexed citations

10.

Zhang, Qiang, Konrad Werys, Iulia A. Popescu, et al.. (2020). Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping. Artificial Intelligence in Medicine. 110. 101955–101955. 31 indexed citations

11.

Popescu, Iulia A., Konrad Werys, Qiang Zhang, et al.. (2020). Standardization of T1-mapping in cardiovascular magnetic resonance using clustered structuring for benchmarking normal ranges. International Journal of Cardiology. 326. 220–225. 18 indexed citations

12.

Werys, Konrad, Iulius Dragonu, Qiang Zhang, et al.. (2019). Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping. SoftwareX. 11. 100369–100369. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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