Nicholas Ayache
Impact in
- Computer Vision and Pattern Recognition top 0.01%
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Computational Mathematics top 0.2%
Papers in
-
- Medical Image Segmentation Techniques 250
- Advanced Vision and Imaging 66
-
- Advanced Neuroimaging Techniques and Applications 66
- Advanced MRI Techniques and Applications 63
- Medical Imaging Techniques and Applications 51
- Radiomics and Machine Learning in Medical Imaging 47
- Co-authors
- Xavier Pennec (136 shared papers)Hervé Delingette (196 shared papers)James S. Duncan (5 shared papers)Grégoire Malandain (73 shared papers)Pierre Fillard (16 shared papers)Alexis Roche (20 shared papers)Vincent Arsigny (18 shared papers)Tom K. Vercauteren (25 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (33 papers)Medical Image Analysis (27 papers)Lecture notes in computer science (188 papers)NeuroImage (12 papers)IEEE Transactions on Biomedical Engineering (11 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Nicholas Ayache
605 papers receiving 38.1k citations
Nicholas Ayache's Hit Papers
Peers
Comparison fields: 5 of 207
- Computer Vision and Pattern Recognition 20.6k
- Computational Mathematics 442
- Radiology, Nuclear Medicine and Imaging 12.3k
- Neurology 4.1k
- Computer Graphics and Computer-Aided Design 1.4k
Countries citing papers authored by Nicholas Ayache
This map shows the geographic impact of Nicholas Ayache'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 Nicholas Ayache with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Ayache more than expected).
Fields of papers citing papers by Nicholas Ayache
This network shows the impact of papers produced by Nicholas Ayache. 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 Nicholas Ayache. The network helps show where Nicholas Ayache may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicholas Ayache, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 626 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) Hit paper breakdown → | 2014 | 4862 |
| 2 | Medical image analysis: progress over two decades and the challenges ahead Hit paper breakdown → | 2000 | 3470 |
| 3 | Medical Image Computing and Computer-Assisted Intervention — MICCAI’98 Hit paper breakdown → | 1998 | 1416 |
| 4 | Diffeomorphic demons: Efficient non-parametric image registration Hit paper breakdown → | 2008 | 1251 |
| 5 | A Riemannian Framework for Tensor Computing Hit paper breakdown → | 2005 | 1158 |
| 6 | Log‐Euclidean metrics for fast and simple calculus on diffusion tensors Hit paper breakdown → | 2006 | 858 |
| 7 | Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices Hit paper breakdown → | 2007 | 611 |
| 8 | Real-time elastic deformations of soft tissues for surgery simulation Hit paper breakdown → | 1999 | 594 |
| 9 | 2001 | 463 | |
| 10 | 1998 | 435 | |
| 11 | 1986 | 394 | |
| 12 | 2000 | 373 | |
| 13 | 2011 | 366 | |
| 14 | A Log-Euclidean Framework for Statistics on Diffeomorphisms Hit paper breakdown → | 2006 | 337 |
| 15 | 2000 | 333 | |
| 16 | 2007 | 303 | |
| 17 | 2019 | 296 | |
| 18 | 2008 | 285 | |
| 19 | 2009 | 283 | |
| 20 | 1996 | 280 |
About Nicholas Ayache
Nicholas Ayache is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Biophysics and Computational Mechanics, having authored 626 papers that have together received 39.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (250 papers), Advanced Vision and Imaging (66 papers), Advanced Neuroimaging Techniques and Applications (66 papers), 3D Shape Modeling and Analysis (64 papers), Robotics and Sensor-Based Localization (63 papers), Advanced MRI Techniques and Applications (63 papers), Medical Imaging Techniques and Applications (51 papers) and Radiomics and Machine Learning in Medical Imaging (47 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (20.6k citations), Computational Mathematics (442 citations), Radiology, Nuclear Medicine and Imaging (12.3k citations), Neurology (4.1k citations) and Computer Graphics and Computer-Aided Design (1.4k citations). Nicholas Ayache has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Xavier Pennec, Hervé Delingette, James S. Duncan, Grégoire Malandain, Pierre Fillard, Alexis Roche, Vincent Arsigny, Tom K. Vercauteren, Aymeric Perchant and Maxime Sermesant. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lecture notes in computer science, NeuroImage 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.