Benjamin Billot

1.6k total citations · 1 hit paper
17 papers, 623 citations indexed

About

Benjamin Billot is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Benjamin Billot has authored 17 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Cognitive Neuroscience. Recurrent topics in Benjamin Billot's work include Medical Image Segmentation Techniques (6 papers), Advanced MRI Techniques and Applications (5 papers) and Functional Brain Connectivity Studies (4 papers). Benjamin Billot is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Advanced MRI Techniques and Applications (5 papers) and Functional Brain Connectivity Studies (4 papers). Benjamin Billot collaborates with scholars based in United States, United Kingdom and Denmark. Benjamin Billot's co-authors include Juan Eugenio Iglesias, Adrian V. Dalca, Bruce Fischl, Douglas N. Greve, Koen Van Leemput, Axel Thielscher, Oula Puonti, Colin Magdamo, Steven E. Arnold and Sudeshna Das and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Radiology.

In The Last Decade

Benjamin Billot

17 papers receiving 617 citations

Hit Papers

SynthSeg: Segmentation of brain MRI scans of any contrast... 2023 2026 2024 2025 2023 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
    2023 195 citations Benjamin Billot, Douglas N. Greve et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benjamin Billot United States 9 259 154 100 75 70 17 623
Michael Stauffer Switzerland 6 212 0.8× 137 0.9× 101 1.0× 33 0.4× 53 0.8× 15 484
Ilwoo Lyu United States 16 353 1.4× 220 1.4× 153 1.5× 41 0.5× 66 0.9× 54 596
Linda Marrakchi‐Kacem France 10 278 1.1× 233 1.5× 91 0.9× 160 2.1× 63 0.9× 16 635
Camilo Bermudez United States 13 262 1.0× 105 0.7× 166 1.7× 33 0.4× 79 1.1× 29 594
Ivor Simpson United Kingdom 12 261 1.0× 141 0.9× 138 1.4× 60 0.8× 113 1.6× 25 549
Jennifer L. Cuzzocreo United States 17 272 1.1× 102 0.7× 177 1.8× 100 1.3× 62 0.9× 21 759
Anne‐Marie van Cappellen van Walsum Netherlands 18 421 1.6× 444 2.9× 107 1.1× 87 1.2× 96 1.4× 30 1.1k
Masami Goto Japan 16 477 1.8× 272 1.8× 51 0.5× 102 1.4× 108 1.5× 61 881
Jolinda Smith United States 8 358 1.4× 280 1.8× 28 0.3× 91 1.2× 59 0.8× 16 739
Mark Kohn United States 6 353 1.4× 271 1.8× 117 1.2× 56 0.7× 179 2.6× 8 771

Countries citing papers authored by Benjamin Billot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Benjamin Billot

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Billot. A scholar is included among the top collaborators of Benjamin Billot 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 Benjamin Billot. Benjamin Billot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Fritz, R., Benjamin Billot, Juan Eugenio Iglesias, et al.. (2025). A Contrast‐Agnostic Method for Ultra‐High Resolution Claustrum Segmentation. Human Brain Mapping. 46(12). e70303–e70303. 1 indexed citations
2.
Billot, Benjamin, Daniel Moyer, Malte Hoffmann, et al.. (2024). SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Transactions on Medical Imaging. 43(11). 4029–4040. 2 indexed citations
3.
Billot, Benjamin, et al.. (2024). AnyStar: Domain randomized universal star-convex 3D instance segmentation. PubMed. 2024. 7578–7588. 6 indexed citations
4.
Billot, Benjamin, et al.. (2023). Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences. 120(9). e2216399120–e2216399120. 78 indexed citations
5.
Ganglberger, Wolfgang, Haoqi Sun, Peter Hadar, et al.. (2023). Linking brain structure, cognition, and sleep: insights from clinical data. SLEEP. 47(2). 10 indexed citations
6.
Billot, Benjamin, Douglas N. Greve, Oula Puonti, et al.. (2023). SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining. Medical Image Analysis. 86. 102789–102789. 195 indexed citations breakdown →
7.
Iglesias, Juan Eugenio, Benjamin Billot, Yaël Balbastre, et al.. (2023). SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science Advances. 9(5). 75 indexed citations
8.
Iglesias, Juan Eugenio, Benjamin Billot, Pamela W. Schaefer, et al.. (2022). Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning. Radiology. 306(3). e220522–e220522. 49 indexed citations
9.
Todd, Emily, Benjamin Billot, David M. Cash, et al.. (2022). In vivo hypothalamic regional volumetry across the frontotemporal dementia spectrum. NeuroImage Clinical. 35. 103084–103084. 12 indexed citations
10.
Billot, Benjamin, et al.. (2021). Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs. PubMed. 2021. 1971–1974. 6 indexed citations
11.
Greve, Douglas N., Benjamin Billot, Malte Hoffmann, et al.. (2021). A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images. NeuroImage. 244. 118610–118610. 47 indexed citations
12.
Hoffmann, Malte, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, & Adrian V. Dalca. (2021). Learning Mri Contrast-Agnostic Registration. PubMed Central. 899–903. 6 indexed citations
13.
Hoffmann, Malte, Benjamin Billot, Juan Eugenio Iglesias, Bruce Fischl, & Adrian V. Dalca. (2020). Learning Multi-Modal Image Registration without Real Data. arXiv (Cornell University). 1 indexed citations
14.
Billot, Benjamin, Douglas N. Greve, Koen Van Leemput, et al.. (2020). A Learning Strategy for Contrast-agnostic MRI Segmentation. 75–93. 3 indexed citations
15.
Billot, Benjamin, Martina Bocchetta, Emily Todd, et al.. (2020). Automated segmentation of the hypothalamus and associated subunits in brain MRI. NeuroImage. 223. 117287–117287. 115 indexed citations
16.
Dai, Tianhong, Magda Dubois, Kai Arulkumaran, et al.. (2018). Deep Reinforcement Learning for Subpixel Neural Tracking. Spiral (Imperial College London). 130–150. 7 indexed citations
17.
Dai, Tianhong, Benjamin Billot, Kai Arulkumaran, et al.. (2018). Image Synthesis with a Convolutional Capsule Generative Adversarial Network. Spiral (Imperial College London). 10 indexed citations

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.

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