Benjamin Billot
Impact in
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- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
Papers in
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- Advanced MRI Techniques and Applications 5
- Advanced Neuroimaging Techniques and Applications 4
- Radiomics and Machine Learning in Medical Imaging 2
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- Medical Image Segmentation Techniques 6
- Advanced Neural Network Applications 4
- Co-authors
- Juan Eugenio Iglesias (13 shared papers)Adrian V. Dalca (8 shared papers)Bruce Fischl (6 shared papers)Douglas N. Greve (4 shared papers)Koen Van Leemput (4 shared papers)Axel Thielscher (1 shared paper)Oula Puonti (1 shared paper)Sudeshna Das (2 shared papers)
- Journals
- NeuroImage (2 papers)Science Advances (1 paper)IEEE Transactions on Medical Imaging (1 paper)NeuroImage Clinical (1 paper)Medical Image Analysis (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Benjamin Billot
17 papers receiving 699 citations
Benjamin Billot's Hit Papers
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 227
- Cognitive Neuroscience 133
- Neurology 50
- Health Informatics 6
- Psychiatry and Mental health 61
Countries citing papers authored by Benjamin Billot
This map shows the geographic impact of Benjamin Billot'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 Benjamin Billot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Billot more than expected).
Fields of papers citing papers by Benjamin Billot
This network shows the impact of papers produced by Benjamin Billot. 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 Benjamin Billot. The network helps show where Benjamin Billot may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Billot, 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 | SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining Hit paper breakdown → | 2023 | 234 |
| 2 | 2020 | 123 | |
| 3 | 2023 | 91 | |
| 4 | 2023 | 84 | |
| 5 | 2022 | 55 | |
| 6 | 2021 | 51 | |
| 7 | 2023 | 12 | |
| 8 | 2022 | 12 | |
| 9 | Image Synthesis with a Convolutional Capsule Generative Adversarial Network | 2018 | 11 |
| 10 | Deep Reinforcement Learning for Subpixel Neural Tracking | 2018 | 7 |
| 11 | 2021 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2024 | 6 | |
| 14 | A Learning Strategy for Contrast-agnostic MRI Segmentation | 2020 | 3 |
| 15 | 2024 | 2 | |
| 16 | Learning Multi-Modal Image Registration without Real Data | 2020 | 1 |
| 17 | 2025 | 1 |
About Benjamin Billot
Benjamin Billot is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 17 papers that have together received 705 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Advanced Neural Network Applications (4 papers), Functional Brain Connectivity Studies (3 papers), Cell Image Analysis Techniques (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Epilepsy research and treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (227 citations), Cognitive Neuroscience (133 citations), Neurology (50 citations), Health Informatics (6 citations) and Psychiatry and Mental health (61 citations). Benjamin Billot has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Juan Eugenio Iglesias, Adrian V. Dalca, Bruce Fischl, Douglas N. Greve, Koen Van Leemput, Axel Thielscher, Oula Puonti, Sudeshna Das, Steven E. Arnold and Colin Magdamo. Their work appears in journals such as NeuroImage, Science Advances, IEEE Transactions on Medical Imaging, NeuroImage Clinical and Medical Image Analysis.
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.