Hervé Lombaert
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Artificial Intelligence top 10%
- Co-authors
- Leo GradyFarida ChérietYiyong SunNicholas AyacheChenyang XuJosé DolzChristian DesrosiersIsmail Ben Ayed
- Topics
- Medical Image Segmentation Techniques (16 papers)Advanced Neural Network Applications (10 papers)Advanced Neuroimaging Techniques and Applications (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsIEEE Transactions on Medical Imaging
- Partner nations
- CanadaFranceUnited Kingdom
In The Last Decade
Hervé Lombaert
35 papers receiving 825 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 432
- Radiology, Nuclear Medicine and Imaging 351
- Biomedical Engineering 131
- Cardiology and Cardiovascular Medicine 126
- Artificial Intelligence 118
Countries citing papers authored by Hervé Lombaert
This map shows the geographic impact of Hervé Lombaert'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 Hervé Lombaert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hervé Lombaert more than expected).
Fields of papers citing papers by Hervé Lombaert
This network shows the impact of papers produced by Hervé Lombaert. 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 Hervé Lombaert. The network helps show where Hervé Lombaert may publish in the future.
Co-authorship network of co-authors of Hervé Lombaert
This figure shows the co-authorship network connecting the top 25 collaborators of Hervé Lombaert. A scholar is included among the top collaborators of Hervé Lombaert 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 Hervé Lombaert. Hervé Lombaert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 26 | |
| 6 | 13 | |
| 7 | Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation | 7 |
| 8 | 14 | |
| 9 | 20 | |
| 10 | 37 | |
| 11 | Brain Tumor Segmentation using Topological Loss in Convolutional Networks | 1 |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 0 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | 153 | |
| 18 | 21 | |
| 19 | 0 | |
| 20 | 4 |
About Hervé Lombaert
Hervé Lombaert is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 843 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Advanced Neural Network Applications (10 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (432 citations), Radiology, Nuclear Medicine and Imaging (351 citations) and Computer Graphics and Computer-Aided Design (30 citations). Hervé Lombaert has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Leo Grady, Farida Chériet, Yiyong Sun, Nicholas Ayache, Chenyang Xu, José Dolz, Christian Desrosiers, Ismail Ben Ayed, Jon̈athan R. Polimeni and Karthik Gopinath. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports 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.