Ninon Burgos

3.4k total citations · 1 hit paper
56 papers, 1.7k citations indexed

About

Ninon Burgos is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ninon Burgos has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ninon Burgos's work include Medical Imaging Techniques and Applications (25 papers), Advanced MRI Techniques and Applications (23 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Ninon Burgos is often cited by papers focused on Medical Imaging Techniques and Applications (25 papers), Advanced MRI Techniques and Applications (23 papers) and Radiomics and Machine Learning in Medical Imaging (17 papers). Ninon Burgos collaborates with scholars based in France, United Kingdom and Australia. Ninon Burgos's co-authors include Olivier Colliot, Simona Bottani, Elina Thibeau–Sutre, Stanley Durrleman, Didier Dormont, Jorge Samper‐Gonzàlez, Alexandre Routier, Junhao Wen, Sébastien Ourselin and M. Jorge Cardoso and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Scientific Reports.

In The Last Decade

Ninon Burgos

55 papers receiving 1.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

2020 423 citations Junhao Wen, Elina Thibeau–Sutre 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						Papers	Cites
Ninon Burgos France	20	794	396	358	328	291	56	1.7k
Chen Zu China	19	643 0.8×	383 1.0×	276 0.8×	87 0.3×	564 1.9×	57	1.5k
Francesca Gallivanone Italy	21	947 1.2×	237 0.6×	120 0.3×	240 0.7×	83 0.3×	51	1.9k
Tian Liu China	25	1.1k 1.4×	141 0.4×	215 0.6×	177 0.5×	147 0.5×	108	2.4k
Roger Tam Canada	25	867 1.1×	297 0.8×	376 1.1×	249 0.8×	416 1.4×	115	2.2k
Qinquan Gao China	16	410 0.5×	475 1.2×	481 1.3×	340 1.0×	1.3k 4.6×	65	2.3k
Robin Wolz United Kingdom	26	969 1.2×	461 1.2×	770 2.2×	969 3.0×	1.2k 4.0×	78	3.1k
Saima Rathore United States	19	796 1.0×	416 1.1×	324 0.9×	217 0.7×	181 0.6×	54	1.4k
Lucia Ballerini United Kingdom	22	683 0.9×	166 0.4×	207 0.6×	200 0.6×	348 1.2×	93	2.1k
P. Cerello Italy	16	606 0.8×	164 0.4×	119 0.3×	102 0.3×	129 0.4×	86	1.1k
Ingrid C. Sluimer Netherlands	10	713 0.9×	222 0.6×	171 0.5×	249 0.8×	281 1.0×	10	1.4k

Countries citing papers authored by Ninon Burgos

Since Specialization

Citations

This map shows the geographic impact of Ninon Burgos'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 Ninon Burgos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ninon Burgos more than expected).

Fields of papers citing papers by Ninon Burgos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ninon Burgos. 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 Ninon Burgos. The network helps show where Ninon Burgos may publish in the future.

Co-authorship network of co-authors of Ninon Burgos

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

All Works

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20 of 20 papers shown

Bottani, Simona, Sébastian Ströer, Lydia Chougar, et al.. (2025). Automatic quality control of brain 3D FLAIR MRIs for a clinical data warehouse. Medical Image Analysis. 103. 103617–103617.

Burgos, Ninon, et al.. (2024). Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET. SPIRE - Sciences Po Institutional REpository. 36. 47–47. 1 indexed citations

Bottani, Simona, Elina Thibeau–Sutre, Sébastian Ströer, et al.. (2024). Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI. BMC Medical Imaging. 24(1). 67–67. 2 indexed citations

Colliot, Olivier, et al.. (2024). Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET. arXiv (Cornell University). 2(Generative Models). 611–656. 1 indexed citations

Bottani, Simona, et al.. (2023). Automatic motion artefact detection in brain T1-weighted magnetic resonance images from a clinical data warehouse using synthetic data. Medical Image Analysis. 93. 103073–103073. 9 indexed citations

Bottani, Simona, Ninon Burgos, Dario Saracino, et al.. (2023). Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse. Medical Image Analysis. 89. 102903–102903. 8 indexed citations

Thibeau–Sutre, Elina, Jelmer M. Wolterink, Olivier Colliot, & Ninon Burgos. (2023). How can data augmentation improve attribution maps for disease subtype explainability. HAL (Le Centre pour la Communication Scientifique Directe). 81–81. 1 indexed citations

Bottani, Simona, et al.. (2023). Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET. 87–87. 2 indexed citations

Thibeau–Sutre, Elina, et al.. (2022). Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models. 75–75. 3 indexed citations

10.

Burgos, Ninon, M. Jorge Cardoso, Jorge Samper‐Gonzàlez, et al.. (2021). Anomaly detection for the individual analysis of brain PET images. Journal of Medical Imaging. 8(2). 24003–24003. 6 indexed citations

11.

Wen, Junhao, Jorge Samper‐Gonzàlez, Simona Bottani, et al.. (2020). Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease. Neuroinformatics. 19(1). 57–78. 17 indexed citations

12.

Wen, Junhao, Elina Thibeau–Sutre, Jorge Samper‐Gonzàlez, et al.. (2020). Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation. Medical Image Analysis. 63. 101694–101694. 423 indexed citations breakdown →

13.

Ansart, Manon, Stéphane Epelbaum, Alexandre Bône, et al.. (2020). Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review. Medical Image Analysis. 67. 101848–101848. 58 indexed citations

14.

Samper‐Gonzàlez, Jorge, Ninon Burgos, Simona Bottani, et al.. (2018). Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data. NeuroImage. 183. 504–521. 113 indexed citations

15.

Melbourne, Andrew, Ninon Burgos, David M. Cash, et al.. (2018). Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL–MRI: proof of concept. Journal of Cerebral Blood Flow & Metabolism. 39(12). 2419–2432. 13 indexed citations

16.

Arabi, Hossein, Jason Dowling, Ninon Burgos, et al.. (2018). Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region. Medical Physics. 45(11). 5218–5233. 98 indexed citations

17.

Burgos, Ninon, Filipa Guerreiro, Jamie R. McClelland, et al.. (2017). Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning. Physics in Medicine and Biology. 62(11). 4237–4253. 28 indexed citations

18.

Sekine, Tetsuro, Ninon Burgos, Geoffrey Warnock, et al.. (2016). Multi-Atlas–Based Attenuation Correction for Brain ¹⁸F-FDG PET Imaging Using a Time-of-Flight PET/MR Scanner: Comparison with Clinical Single-Atlas– and CT-Based Attenuation Correction. Journal of Nuclear Medicine. 57(8). 1258–1264. 24 indexed citations

19.

Zuluaga, María A., Ninon Burgos, A. Mendelson, Andrew M. Taylor, & Sébastien Ourselin. (2015). Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries. Medical Image Analysis. 26(1). 185–194. 9 indexed citations

20.

Markiewicz, Paweł, Ninon Burgos, David Atkinson, et al.. (2015). Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors. Lecture notes in computer science. 24. 540–551. 15 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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