Matthieu Perrot

63.9k total citations
17 papers, 370 citations indexed

About

Matthieu Perrot is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthieu Perrot has authored 17 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthieu Perrot's work include Functional Brain Connectivity Studies (6 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Matthieu Perrot is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Matthieu Perrot collaborates with scholars based in France, United States and Switzerland. Matthieu Perrot's co-authors include Jean‐François Mangin, Denis Rivière, Stefan Klöppel, Hartwig R. Siebner, R. S. J. Frackowiak, Alan Tucholka, François De Guio, Ernesta M. Meintjes, Sandra W. Jacobson and Christopher D. Molteno and has published in prestigious journals such as NeuroImage, Human Brain Mapping and Medical Image Analysis.

In The Last Decade

Matthieu Perrot

16 papers receiving 366 citations

Peers

Matthieu Perrot

RNMI

PPCH

CVPR

PMH

D. Riviére France

Jean François Mangin France

Emma J. Moore United Kingdom

Shahrum Nedjati-Gilani United Kingdom

Zhexing Liu China

Simon Glynn United States

Hervé Glasel France

KK Seunarine United Kingdom

PA Cook Australia

Min Lü China

D. Riviére France

Matthieu Perrot

180 ×0.8

211 ×1.4

RNMI

47 ×0.6

PPCH

31 ×0.7

CVPR

43 ×1.3

PMH

Citations per year, relative to Matthieu Perrot Matthieu Perrot (= 1×) peers D. Riviére

Countries citing papers authored by Matthieu Perrot

Since Specialization

Citations

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

Fields of papers citing papers by Matthieu Perrot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Perrot

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

All Works

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17 of 17 papers shown

Perrot, Matthieu, et al.. (2022). Hair Color Digitization through Imaging and Deep Inverse Graphics. arXiv (Cornell University).

Jiang, Ruowei, Silèye Ba, Parham Aarabi, et al.. (2021). Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example. 3884–3888. 5 indexed citations

Perrot, Matthieu, et al.. (2020). Beyond Color Correction : Skin Color Estimation In The Wild Through Deep Learning. Electronic Imaging. 32(5). 82–1. 5 indexed citations

Perrot, Matthieu, et al.. (2019). Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning. Electronic Imaging. 31(6). 483–1. 2 indexed citations

Perrot, Matthieu, et al.. (2017). Classification of MRI data using deep learning and Gaussian process-based model selection. arXiv (Cornell University). 13. 745–748. 3 indexed citations

Lefranc, Sandrine, Pauline Roca, Matthieu Perrot, et al.. (2016). Groupwise connectivity-based parcellation of the whole human cortical surface using watershed-driven dimension reduction. Medical Image Analysis. 30. 11–29. 25 indexed citations

Dubois, Mathieu, Tommy Löfstedt, Matthieu Perrot, et al.. (2014). Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI. SPIRE - Sciences Po Institutional REpository. 1–4. 8 indexed citations

Guio, François De, Jean‐François Mangin, Denis Rivière, et al.. (2013). A study of cortical morphology in children with fetal alcohol spectrum disorders. Human Brain Mapping. 35(5). 2285–2296. 50 indexed citations

Auzias, Guillaume, Julien Lefèvre, Arnaud Le Troter, et al.. (2011). Model-Driven Harmonic Parameterization of the Cortical Surface. Lecture notes in computer science. 14(Pt 2). 310–317. 6 indexed citations

10.

Perrot, Matthieu, Denis Rivière, & Jean‐François Mangin. (2011). Cortical sulci recognition and spatial normalization. Medical Image Analysis. 15(4). 529–550. 94 indexed citations

11.

Klöppel, Stefan, Denis Rivière, Matthieu Perrot, et al.. (2011). The effect of handedness on the shape of the central sulcus. NeuroImage. 60(1). 332–339. 95 indexed citations

12.

Lavielle, Marc, et al.. (2009). Anatomically Informed Bayesian Model Selection for fMRI Group Data Analysis. Lecture notes in computer science. 12(Pt 2). 450–457. 8 indexed citations

13.

Perrot, Matthieu, Denis Rivière, Alan Tucholka, & Jean‐François Mangin. (2009). Joint Bayesian Cortical Sulci Recognition and Spatial Normalization. Lecture notes in computer science. 21. 176–187. 20 indexed citations

14.

Perrot, Matthieu, et al.. (2009). Constructing a Dictionary of Human Brain Folding Patterns. Lecture notes in computer science. 12(Pt 2). 117–124. 19 indexed citations

15.

Auzias, Guillaume, Joan Glaunès, Olivier Colliot, et al.. (2009). DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints. Lecture notes in computer science. 12(Pt 1). 730–738. 10 indexed citations

16.

Tucholka, Alan, Bertrand Thirion, Matthieu Perrot, et al.. (2008). Probabilistic Anatomo-Functional Parcellation of the Cortex: How Many Regions?. Lecture notes in computer science. 11(Pt 2). 399–406. 10 indexed citations

17.

Perrot, Matthieu, Denis Rivière, & Jean‐François Mangin. (2008). Identifying cortical sulci from localization, shape and local organization. 420–423. 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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