Olivier Clatz

2.4k total citations
38 papers, 1.6k citations indexed

About

Olivier Clatz is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Modeling and Simulation. According to data from OpenAlex, Olivier Clatz has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Computer Vision and Pattern Recognition and 13 papers in Modeling and Simulation. Recurrent topics in Olivier Clatz's work include Medical Image Segmentation Techniques (14 papers), Mathematical Biology Tumor Growth (13 papers) and Advanced MRI Techniques and Applications (11 papers). Olivier Clatz is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Mathematical Biology Tumor Growth (13 papers) and Advanced MRI Techniques and Applications (11 papers). Olivier Clatz collaborates with scholars based in France, United States and United Kingdom. Olivier Clatz's co-authors include Nicholas Ayache, Hervé Delingette, Ender Konukoğlu, Simon K. Warfield, Pierre‐Yves Bondiau, Maxime Sermesant, Bjoern Menze, N. Ayache, Ezequiel Geremia and Alexandra J. Golby and has published in prestigious journals such as NeuroImage, Journal of Biomechanics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Olivier Clatz

37 papers receiving 1.6k citations

Peers

Olivier Clatz
Raghu Raghavan United States
Philippe Schucht Switzerland
Martin Brady United States
Michel Bilello United States
Ali Gooya United Kingdom
N. Ayache France
Olivier Clatz
Citations per year, relative to Olivier Clatz Olivier Clatz (= 1×) peers Evangelia I. Zacharaki

Countries citing papers authored by Olivier Clatz

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Clatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Clatz

This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Clatz. A scholar is included among the top collaborators of Olivier Clatz 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 Olivier Clatz. Olivier Clatz 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.
Chrisochoides, Nikos, Yixun Liu, Olivier Clatz, et al.. (2023). Comparison of physics-based deformable registration methods for image-guided neurosurgery. Frontiers in Digital Health. 5. 1283726–1283726. 3 indexed citations
2.
Thorpe, Chuck, Olivier Clatz, David Duggins, et al.. (2018). Dependable Perception for Robots. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
3.
Iannessi, Antoine, Pierre‐Yves Marcy, Olivier Clatz, Pierre Fillard, & Nicholas Ayache. (2013). Touchless intra-operative display for interventional radiologist. Diagnostic and Interventional Imaging. 95(3). 333–337. 7 indexed citations
4.
Geremia, Ezequiel, Olivier Clatz, Bjoern Menze, et al.. (2011). Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images. NeuroImage. 57(2). 378–390. 159 indexed citations
5.
Ayache, Nicholas, Olivier Clatz, Hervé Delingette, et al.. (2011). Vers un patient numérique personnalisé pour le diagnostic et la thérapie guidés par l’image. médecine/sciences. 27(2). 208–213. 2 indexed citations
6.
Geremia, Ezequiel, Bjoern Menze, Olivier Clatz, et al.. (2010). Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images. Lecture notes in computer science. 13(Pt 1). 111–118. 68 indexed citations
7.
Bondiau, Pierre‐Yves, Ender Konukoğlu, Olivier Clatz, et al.. (2010). Biocomputing: Numerical simulation of glioblastoma growth and comparison with conventional irradiation margins. Physica Medica. 27(2). 103–108. 22 indexed citations
8.
Yeo, B.T. Thomas, Tom Vercauteren, Pierre Fillard, et al.. (2009). DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential. IEEE Transactions on Medical Imaging. 28(12). 1914–1928. 69 indexed citations
9.
Konukoglu, Ender, Olivier Clatz, Bjoern Menze, et al.. (2009). Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations. IEEE Transactions on Medical Imaging. 29(1). 77–95. 135 indexed citations
10.
Bondiau, Pierre‐Yves, Olivier Clatz, Maxime Sermesant, et al.. (2008). Biocomputing: numerical simulation of glioblastoma growth using diffusion tensor imaging. Physics in Medicine and Biology. 53(4). 879–893. 49 indexed citations
11.
Mandonnet, Emmanuel, Johan Pallud, Olivier Clatz, et al.. (2008). Computational modeling of the WHO grade II glioma dynamics: principles and applications to management paradigm. Neurosurgical Review. 31(3). 263–269. 80 indexed citations
12.
Archip, Neculai, Olivier Clatz, Stephen Whalen, et al.. (2008). COMPENSATION OF GEOMETRIC DISTORTION EFFECTS ON INTRAOPERATIVE MAGNETIC RESONANCE IMAGING FOR ENHANCED VISUALIZATION IN IMAGE-GUIDED NEUROSURGERY. Operative Neurosurgery. 62(3). 209–216. 17 indexed citations
13.
Konukoğlu, Ender, Maxime Sermesant, Olivier Clatz, et al.. (2007). A Recursive Anisotropic Fast Marching Approach to Reaction Diffusion Equation: Application to Tumor Growth Modeling. Lecture notes in computer science. 20. 687–699. 52 indexed citations
14.
Clatz, Olivier, et al.. (2007). Dynamic Model of Communicating Hydrocephalus for Surgery Simulation. IEEE Transactions on Biomedical Engineering. 54(4). 755–758. 17 indexed citations
15.
Konukoğlu, Ender, Olivier Clatz, Pierre‐Yves Bondiau, et al.. (2007). Towards an Identification of Tumor Growth Parameters from Time Series of Images. Lecture notes in computer science. 10(Pt 1). 549–556. 10 indexed citations
16.
Archip, Neculai, Olivier Clatz, Stephen Whalen, et al.. (2006). Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery. NeuroImage. 35(2). 609–624. 119 indexed citations
17.
Wagner, Christopher R., Douglas P. Perrin, Robert L. Feller, et al.. (2006). Integrating Tactile and Force Feedback with Finite Element Models. 3942–3947. 19 indexed citations
18.
Konukoğlu, Ender, Olivier Clatz, Pierre‐Yves Bondiau, Hervé Delingette, & Nicholas Ayache. (2006). Extrapolating Tumor Invasion Margins for Physiologically Determined Radiotherapy Regions. Lecture notes in computer science. 9(Pt 1). 338–346. 12 indexed citations
19.
Clatz, Olivier, Hervé Delingette, Ion‐Florin Talos, et al.. (2005). Robust nonrigid registration to capture brain shift from intraoperative MRI. IEEE Transactions on Medical Imaging. 24(11). 1417–1427. 169 indexed citations
20.
Clatz, Olivier, Maxime Sermesant, Pierre‐Yves Bondiau, et al.. (2005). Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation. IEEE Transactions on Medical Imaging. 24(10). 1334–1346. 252 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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