Mireille Garreau
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Biomedical Engineering
- Surgery
- Co-authors
- Jean-Louis CoatrieuxR. CollorecJeremy B. M. JowettM. V. NermutIan M. JonesDaniel ThomasD. J. HockleyDominique Boulmier
- Topics
- Medical Image Segmentation Techniques (29 papers)Advanced MRI Techniques and Applications (29 papers)Cardiac Imaging and Diagnostics (19 papers)
In The Last Decade
Mireille Garreau
66 papers receiving 615 citations
Peers
Comparison fields: 5 of 100
- Radiology, Nuclear Medicine and Imaging 275
- Computer Vision and Pattern Recognition 194
- Cardiology and Cardiovascular Medicine 150
- Biomedical Engineering 127
- Surgery 89
Countries citing papers authored by Mireille Garreau
This map shows the geographic impact of Mireille Garreau'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 Mireille Garreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mireille Garreau more than expected).
Fields of papers citing papers by Mireille Garreau
This network shows the impact of papers produced by Mireille Garreau. 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 Mireille Garreau. The network helps show where Mireille Garreau may publish in the future.
Co-authorship network of co-authors of Mireille Garreau
This figure shows the co-authorship network connecting the top 25 collaborators of Mireille Garreau. A scholar is included among the top collaborators of Mireille Garreau 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 Mireille Garreau. Mireille Garreau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | Cardiac function estimation using Multislice Computed Tomography: A comparison to speckle tracking imaging | 3 |
| 9 | 8 | |
| 10 | 21 | |
| 11 | Multi-object and N-D segmentation of cardiac MSCT data using SVM classifiers and a connectivity algorithm | 5 |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | Dynamic feature extraction of coronary artery motion using DSA image sequences | 1 |
| 16 | 16 | |
| 17 | 25 | |
| 18 | 29 | |
| 19 | 87 | |
| 20 | 4 |
About Mireille Garreau
Mireille Garreau is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 73 papers that have together received 631 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (29 papers), Advanced MRI Techniques and Applications (29 papers) and Cardiac Imaging and Diagnostics (19 papers). The work is most often cited by research in Virology (78 citations), Radiology, Nuclear Medicine and Imaging (275 citations) and Computer Vision and Pattern Recognition (194 citations). Mireille Garreau has collaborated with scholars based in France, Venezuela and Colombia. Frequent co-authors include Jean-Louis Coatrieux, R. Collorec, Jeremy B. M. Jowett, M. V. Nermut, Ian M. Jones, Daniel Thomas, D. J. Hockley, Dominique Boulmier, Christophe Leclercq and Antoine Simon. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Transactions on Medical Imaging.
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.