Axel Davy
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
-
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
Papers in
-
- Image and Signal Denoising Methods 10
- Advanced Image Processing Techniques 10
- Advanced Vision and Imaging 4
- Medical Image Segmentation Techniques 2
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- Advanced Image Fusion Techniques 5
- Image Processing Techniques and Applications 2
- Co-authors
- Mohammad Havaei (1 shared paper)David Warde-Farley (1 shared paper)Aaron Courville (1 shared paper)Pierre‐Marc Jodoin (1 shared paper)Chris Pal (1 shared paper)Yoshua Bengio (1 shared paper)Hugo Larochelle (1 shared paper)Gabriele Facciolo (10 shared papers)
- Journals
- Journal of Mathematical Imaging and Vision (1 paper)Medical Image Analysis (1 paper)IEEE Signal Processing Letters (1 paper)Image Processing On Line (2 papers)Journal of Real-Time Image Processing (1 paper)
- Partner nations
- FranceBritish Virgin IslandsCanada
In The Last Decade
Axel Davy
15 papers receiving 2.2k citations
Axel Davy's Hit Papers
Peers
Comparison fields: 5 of 119
- Neurology 1.2k
- Computer Vision and Pattern Recognition 1.4k
- Radiology, Nuclear Medicine and Imaging 712
- Health Informatics 30
- Artificial Intelligence 642
Countries citing papers authored by Axel Davy
This map shows the geographic impact of Axel Davy'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 Axel Davy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Axel Davy more than expected).
Fields of papers citing papers by Axel Davy
This network shows the impact of papers produced by Axel Davy. 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 Axel Davy. The network helps show where Axel Davy may publish in the future.
Co-authors
The 14 scholars most cited alongside Axel Davy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Brain tumor segmentation with Deep Neural Networks Hit paper breakdown → | 2016 | 2102 |
| 2 | 2019 | 37 | |
| 3 | 2021 | 25 | |
| 4 | 2021 | 15 | |
| 5 | 2020 | 13 | |
| 6 | 2022 | 12 | |
| 7 | Joint demosaicing and denoising by overfitting of bursts of raw images. | 2019 | 10 |
| 8 | 2019 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2024 | 6 | |
| 11 | 2019 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 2 | |
| 14 | 2019 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 0 |
About Axel Davy
Axel Davy is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Computational Mechanics and Aerospace Engineering, having authored 16 papers that have together received 2.3k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Advanced Image Processing Techniques (10 papers), Advanced Image Fusion Techniques (5 papers), Advanced Vision and Imaging (4 papers), Image Processing Techniques and Applications (2 papers), Infrared Target Detection Methodologies (2 papers), Medical Image Segmentation Techniques (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Neurology (1.2k citations), Computer Vision and Pattern Recognition (1.4k citations), Radiology, Nuclear Medicine and Imaging (712 citations), Health Informatics (30 citations) and Artificial Intelligence (642 citations). Axel Davy has collaborated with scholars based in France, British Virgin Islands and Canada. Frequent co-authors include Mohammad Havaei, David Warde-Farley, Aaron Courville, Pierre‐Marc Jodoin, Chris Pal, Yoshua Bengio, Hugo Larochelle, Gabriele Facciolo, Pablo Arias and Thibaud Ehret. Their work appears in journals such as Journal of Mathematical Imaging and Vision, Medical Image Analysis, IEEE Signal Processing Letters, Image Processing On Line and Journal of Real-Time Image Processing.
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.