J Lecoeur
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Pathology and Forensic Medicine
- Molecular Biology
- Neurology
- Co-authors
- Christian BarillotValérie Viêt Triêm TôngHervé SibertMarc GiraultDouglas L. ArnoldD. Louis CollinsDaniel García-LorenzoJean‐Christophe Ferré
- Topics
- Medical Image Segmentation Techniques (8 papers)Advanced MRI Techniques and Applications (4 papers)Brain Tumor Detection and Classification (3 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
J Lecoeur
16 papers receiving 172 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 82
- Radiology, Nuclear Medicine and Imaging 48
- Pathology and Forensic Medicine 24
- Molecular Biology 22
- Neurology 22
Countries citing papers authored by J Lecoeur
This map shows the geographic impact of J Lecoeur'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 J Lecoeur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Lecoeur more than expected).
Fields of papers citing papers by J Lecoeur
This network shows the impact of papers produced by J Lecoeur. 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 J Lecoeur. The network helps show where J Lecoeur may publish in the future.
Co-authorship network of co-authors of J Lecoeur
This figure shows the co-authorship network connecting the top 25 collaborators of J Lecoeur. A scholar is included among the top collaborators of J Lecoeur 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 J Lecoeur. J Lecoeur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | Reproducibility of connectivity based parcellation: primary visual cortex. | 2 |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 43 | |
| 8 | 3 | |
| 9 | Optimized supervised segmentation of MS lesions from multispectral MRIs | 11 |
| 10 | Multiple Sclerosis Lesions Segmentation using Spectral Gradient and Graph Cuts | 12 |
| 11 | Segmentation d'images cérébrales : État de l'art | 3 |
| 12 | 50 | |
| 13 | 3 | |
| 14 | [Acute ergotism caused by dihydroergotamine-triacetyloleandomycin association]. | 8 |
| 15 | [Review of 18 months' use of Gore-Tex prostheses in vascular surgery. 110 implantations (author's transl)]. | 1 |
| 16 | [Repair problems of infected iatrogenic lesions of the femoral trifurcation. Review of 7 cases (author's transl)]. | 1 |
| 17 | [A new case of agraphia without aphasia, indicative of a metastatic tumor of the base of the left middle frontal gyrus]. | 6 |
About J Lecoeur
J Lecoeur is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 17 papers that have together received 183 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Advanced MRI Techniques and Applications (4 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (82 citations), Neurology (22 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). J Lecoeur has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Christian Barillot, Valérie Viêt Triêm Tông, Hervé Sibert, Marc Girault, Douglas L. Arnold, D. Louis Collins, Daniel García-Lorenzo, Jean‐Christophe Ferré, Ragini Verma and Madhura Ingalhalikar. Their work appears in journals such as Neurosurgery, Journal of Neuroscience Methods and Lecture notes in computer science.
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.