François Lauze

1.9k total citations · 1 hit paper
55 papers, 989 citations indexed

About

François Lauze is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Geometry and Topology. According to data from OpenAlex, François Lauze has authored 55 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Geometry and Topology. Recurrent topics in François Lauze's work include Advanced Vision and Imaging (15 papers), Morphological variations and asymmetry (8 papers) and Medical Image Segmentation Techniques (7 papers). François Lauze is often cited by papers focused on Advanced Vision and Imaging (15 papers), Morphological variations and asymmetry (8 papers) and Medical Image Segmentation Techniques (7 papers). François Lauze collaborates with scholars based in Denmark, France and Netherlands. François Lauze's co-authors include Mads Nielsen, Erik B. Dam, Christian Igel, Kersten Petersen, Søren Hauberg, Aasa Feragen, Kim Steenstrup Pedersen, Stefan Sommer, Marco Loog and Sune H. Keller and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

François Lauze

52 papers receiving 955 citations

Hit Papers

Deep Feature Learning for Knee Cartilage Segmentation Usi... 2013 2026 2017 2021 2013 100 200 300
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. Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network
    2013 394 citations Kersten Petersen, Christian Igel et al. Lecture notes in computer science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Lauze Denmark 15 467 264 198 143 78 55 989
Martin Lillholm Denmark 17 281 0.6× 479 1.8× 572 2.9× 170 1.2× 52 0.7× 49 1.4k
H. Siegfried Stiehl Germany 14 690 1.5× 246 0.9× 86 0.4× 243 1.7× 157 2.0× 50 990
Mikaël Rousson United States 16 1.4k 3.0× 424 1.6× 224 1.1× 125 0.9× 134 1.7× 23 1.8k
Roland Kwitt Austria 21 878 1.9× 370 1.4× 294 1.5× 161 1.1× 62 0.8× 70 1.5k
Juan Ruiz‐Alzola Spain 13 303 0.6× 367 1.4× 74 0.4× 189 1.3× 36 0.5× 59 867
Constantine Butakoff Spain 21 364 0.8× 311 1.2× 131 0.7× 163 1.1× 19 0.2× 65 1.5k
Joshua Cates United States 20 300 0.6× 355 1.3× 259 1.3× 120 0.8× 6 0.1× 55 1.5k
Christian Roux France 21 903 1.9× 720 2.7× 195 1.0× 191 1.3× 73 0.9× 118 1.7k
Hien Van Nguyen United States 25 839 1.8× 225 0.9× 605 3.1× 178 1.2× 104 1.3× 70 2.0k
Gemma Piella Spain 25 1.1k 2.3× 576 2.2× 345 1.7× 322 2.3× 237 3.0× 122 2.7k

Countries citing papers authored by François Lauze

Since Specialization
Citations

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

Fields of papers citing papers by François Lauze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Lauze

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

All Works

20 of 20 papers shown
1.
Quéau, Yvain, et al.. (2024). RNb-NeuS: Reflectance and Normal-Based Multi-View 3D Reconstruction. SPIRE - Sciences Po Institutional REpository. 5230–5239. 2 indexed citations
2.
Lauze, François, et al.. (2023). Refractive Pose Refinement. International Journal of Computer Vision. 131(6). 1448–1476. 3 indexed citations
3.
Lauze, François, et al.. (2022). Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation. Journal of Medical Imaging. 9(6). 64002–64002. 2 indexed citations
4.
Lauze, François, et al.. (2021). Absolute and Relative Pose Estimation in Refractive Multi View. Research at the University of Copenhagen (University of Copenhagen). 5 indexed citations
5.
Quéau, Yvain, et al.. (2017). LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution. Journal of Mathematical Imaging and Vision. 60(3). 313–340. 58 indexed citations
6.
Ladefoged, Claes Nøhr, Adam E. Hansen, Sune H. Keller, et al.. (2015). Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR. EJNMMI Physics. 2(1). 8–8. 18 indexed citations
7.
Ladefoged, Claes Nøhr, Flemming Littrup Andersen, Sune H. Keller, et al.. (2014). Correction of dental artifacts within the anatomical surface in PET/MRI using active shape models and k-nearest-neighbors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90341M–90341M. 1 indexed citations
8.
Petersen, Kersten, et al.. (2013). Deep Feature Learning for Knee Cartilage Segmentation Using a Triplanar Convolutional Neural Network. Lecture notes in computer science. 16(Pt 2). 246–253. 394 indexed citations breakdown →
9.
Feragen, Aasa, Pechin Lo, Vladlena Gorbunova, et al.. (2011). Research at the University of Copenhagen (University of Copenhagen). 5 indexed citations
10.
Ramírez-Manzanares, Alonso, Mariano Rivera, Pierre Kornprobst, & François Lauze. (2011). Variational Multi-Valued Velocity Field Estimation for Transparent Sequences. Journal of Mathematical Imaging and Vision. 40(3). 285–304.
11.
Sommer, Stefan, Mads Nielsen, François Lauze, & Xavier Pennec. (2011). A Multi-scale Kernel Bundle for LDDMM: Towards Sparse Deformation Description across Space and Scales. Lecture notes in computer science. 22. 624–635. 30 indexed citations
12.
Sommer, Stefan, François Lauze, & Mads Nielsen. (2010). The Differential of the Exponential Map, Jacobi Fields and Exact Principal Geodesic Analysis. arXiv (Cornell University). 6 indexed citations
13.
Loog, Marco & François Lauze. (2010). The Improbability of Harris Interest Points. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(6). 1141–1147. 29 indexed citations
14.
Nielsen, Mads, Melanie Ganz, François Lauze, et al.. (2010). Distribution, size, shape, growth potential and extent of abdominal aortic calcified deposits predict mortality in postmenopausal women. BMC Cardiovascular Disorders. 10(1). 56–56. 10 indexed citations
15.
Feragen, Aasa, François Lauze, & Mads Nielsen. (2010). Fundamental Geodesic Deformations in Spaces of Treelike Shapes. Research at the University of Copenhagen (University of Copenhagen). 2089–2093. 2 indexed citations
16.
Lauze, François, et al.. (2010). Automatic Hair Detection in the Wild. Research at the University of Copenhagen (University of Copenhagen). 2. 4617–4620. 20 indexed citations
17.
Sommer, Stefan, et al.. (2009). Bicycle chain shape models. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 1 indexed citations
18.
Charvillat, Vincent, et al.. (2009). De l'intérêt de la texture pour la segmentation du visage. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
19.
Iglesias, Juan Eugenio, Marleen de Bruijne, Marco Loog, François Lauze, & Mads Nielsen. (2007). A Family of Principal Component Analyses for Dealing with Outliers. Lecture notes in computer science. 10(Pt 2). 178–185. 5 indexed citations
20.
Keller, Sune H., Kim Steenstrup Pedersen, & François Lauze. (2005). Detecting Interlaced or Progressive Source of Video. 1–4. 2 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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