Caroline Petitjean
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Biomedical Engineering top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Laurent HeutteFábio Alexandre SpanholLuiz S. OliveiraJean‐Nicolas DacherSu RuanRoger TrulloDinggang ShenDong Nie
- Topics
- Medical Image Segmentation Techniques (19 papers)Medical Imaging Techniques and Applications (11 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- FranceBrazilFrench Guiana
In The Last Decade
Caroline Petitjean
67 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Radiology, Nuclear Medicine and Imaging 2.6k
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 2.3k
- Biomedical Engineering 570
- Cardiology and Cardiovascular Medicine 448
Countries citing papers authored by Caroline Petitjean
This map shows the geographic impact of Caroline Petitjean'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 Caroline Petitjean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Petitjean more than expected).
Fields of papers citing papers by Caroline Petitjean
This network shows the impact of papers produced by Caroline Petitjean. 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 Caroline Petitjean. The network helps show where Caroline Petitjean may publish in the future.
Co-authorship network of co-authors of Caroline Petitjean
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Petitjean. A scholar is included among the top collaborators of Caroline Petitjean 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 Caroline Petitjean. Caroline Petitjean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 65 | |
| 3 | Direct estimation of fetal head circumference from ultrasound images based on regression CNN | 10 |
| 4 | 45 | |
| 5 | 28 | |
| 6 | 256 | |
| 7 | 45 | |
| 8 | Medical Image Synthesis with Context-Aware Generative Adversarial Networksbreakdown → | 426 |
| 9 | 15 | |
| 10 | Breast cancer histopathological image classification using Convolutional Neural Networksbreakdown → | 617 |
| 11 | 21 | |
| 12 | 19 | |
| 13 | 41 | |
| 14 | 52 | |
| 15 | 16 | |
| 16 | 51 | |
| 17 | A review of segmentation methods in short axis cardiac MR imagesbreakdown → | 489 |
| 18 | 20 | |
| 19 | 12 | |
| 20 | [Magnetic resonance angiography: fields of exploration, main indications and limitations]. | 0 |
About Caroline Petitjean
Caroline Petitjean is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 70 papers that have together received 4.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), Medical Imaging Techniques and Applications (11 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.6k citations), Computer Vision and Pattern Recognition (2.3k citations) and Artificial Intelligence (2.5k citations). Caroline Petitjean has collaborated with scholars based in France, Brazil and French Guiana. Frequent co-authors include Laurent Heutte, Fábio Alexandre Spanhol, Luiz S. Oliveira, Jean‐Nicolas Dacher, Su Ruan, Roger Trullo, Dinggang Shen, Dong Nie, Qian Wang and Jun Lian. Their work appears in journals such as Neurology, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.
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.