Raphaël Maree

Dr. Raphaël Maree

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 March 2015 in IEEE Transactions on Medical Imaging
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Journal Article
Closed access
Ching-Wei WangChing-Wei Wang
Ching-Wei Wang
CHCheng-Ta Huang
Cheng-Ta Huang
MHMeng-Che Hsieh
Meng-Che Hsieh
CLChung-Hsing Li
Chung-Hsing Li
SCSheng-Wei Chang
Sheng-Wei Chang
BIBulat Ibragimov
Bulat Ibragimov
Cephalometric analysis is an essential clinical and research tool in orthodontics for the orthodontic analysis and treatment planning. This paper presents the evaluation of the methods submitted to the Automatic Cephalometric X-Ray Landmark Detection Challenge, held at the IEEE International Symposium on Biomedical Imaging 2014 with an on-site competition. The challenge was set to explore and compare automatic landmark detection methods in application to cephalometric X-ray images. Methods were evaluated on a common database including cephalograms of 300 patients aged six to 60 years, collected from the Dental Department, Tri-Service General Hospital, Taiwan, and manually marked anatomical landmarks as the ground truth data, generated by two experienced medical doctors. Quantitative evaluation was performed to compare the results of a representative selection of current methods submitted to the challenge. Experimental results show that three methods are able to achieve detection rates greater than 80% using the 4 mm precision range, but only one method achieves a detection rate greater than 70% using the 2 mm precision range, which is the acceptable precision range in clinical practice. The study provides insights into the performance of different landmark detection approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques.

10 January 2016 in Bioinformatics
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Journal Article
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RMRaphaël Maree
Raphaël Maree
LRLoïc Rollus
Loïc Rollus
BSBenjamin Stévens
Benjamin Stévens
RHRenaud Hoyoux
Renaud Hoyoux
GLGilles Louppe
Gilles Louppe
LWLouis Wehenkel
Louis Wehenkel
Motivation: Collaborative analysis of massive imaging datasets is essential to enable scientific discoveries. Results: We developed Cytomine to foster active and distributed collaboration of multidisciplinary teams for large-scale image-based studies. It uses web development methodologies and machine learning in order to readily organize, explore, share and analyze (semantically and quantitatively) multi-gigapixel imaging data over the internet. We illustrate how it has been used in several biomedical applications. Availability and implementation: Cytomine (http://www.cytomine.be/) is freely available under an open-source license from http://github.com/cytomine/. A documentation wiki (http://doc.cytomine.be) and a demo server (http://demo.cytomine.be) are also available. Contact:info@cytomine.be Supplementary information: Supplementary data are available at Bioinformatics online.

27 July 2005
Verified
Conference Paper
Closed access
RMRaphaël Maree
Raphaël Maree
PGP. Geurts
P. Geurts
JPJ. Piater
J. Piater
LWL. Wehenkel
L. Wehenkel
We present a novel, generic image classification method based on a recent machine learning algorithm (ensembles of extremely randomized decision trees). Images are classified using randomly extracted subwindows that are suitably normalized to yield robustness to certain image transformations. Our method is evaluated on four very different, publicly available datasets (COIL-100, ZuBuD,ETH-80, WANG). Our results show that our automatic approach is generic and robust to illumination, scale, and viewpoint changes. An extension of the method is proposed to improve its robustness with respect to rotation changes.

1 June 2007 in Biochemical and Biophysical Research Communications
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Journal Article
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SHSamuel Hiard
Samuel Hiard
RMRaphaël Maree
Raphaël Maree
SCSéverine Colson
Séverine Colson
PHPaul A. Hoskisson
Paul A. Hoskisson
FTFritz Titgemeyer
Fritz Titgemeyer
SRSébastien Rigali
Sébastien Rigali

10 June 2015 in PLOS ONE
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Journal Article
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JAJessica Aceto
Jessica Aceto
RNRasoul Nourizadeh-Lillabadi
Rasoul Nourizadeh-Lillabadi
RMRaphaël Maree
Raphaël Maree
NDNadia Dardenne
Nadia Dardenne
NJNathalie Jeanray
Nathalie Jeanray
Marc MullerMarc Muller
Marc Muller
Teleost fish such as zebrafish (Danio rerio) are increasingly used for physiological, genetic and developmental studies. Our understanding of the physiological consequences of altered gravity in an entire organism is still incomplete. We used altered gravity and drug treatment experiments to evaluate their effects specifically on bone formation and more generally on whole genome gene expression. By combining morphometric tools with an objective scoring system for the state of development for each element in the head skeleton and specific gene expression analysis, we confirmed and characterized in detail the decrease or increase of bone formation caused by a 5 day treatment (from 5dpf to 10 dpf) of, respectively parathyroid hormone (PTH) or vitamin D3 (VitD3). Microarray transcriptome analysis after 24 hours treatment reveals a general effect on physiology upon VitD3 treatment, while PTH causes more specifically developmental effects. Hypergravity (3g from 5dpf to 9 dpf) exposure results in a significantly larger head and a significant increase in bone formation for a subset of the cranial bones. Gene expression analysis after 24 hrs at 3g revealed differential expression of genes involved in the development and function of the skeletal, muscular, nervous, endocrine and cardiovascular systems. Finally, we propose a novel type of experimental approach, the "Reduced Gravity Paradigm", by keeping the developing larvae at 3g hypergravity for the first 5 days before returning them to 1g for one additional day. 5 days exposure to 3g during these early stages also caused increased bone formation, while gene expression analysis revealed a central network of regulatory genes (hes5, sox10, lgals3bp, egr1, edn1, fos, fosb, klf2, gadd45ba and socs3a) whose expression was consistently affected by the transition from hyper- to normal gravity.

15 August 2009 in The Journal of Immunology
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Journal Article
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CLChristelle Lecut
Christelle Lecut
KFKim Frederix
Kim Frederix
DJDaniel M. Johnson
Daniel M. Johnson
CDChristophe Deroanne
Christophe Deroanne
MTMarc Thiry
Marc Thiry
COCécile Oury
Cécile Oury
ATP, released at the leading edge of migrating neutrophils, amplifies chemotactic signals. The aim of our study was to investigate whether neutrophils express ATP-gated P2X1 ion channels and whether these channels could play a role in chemotaxis. Whole-cell patch clamp experiments showed rapidly desensitizing currents in both human and mouse neutrophils stimulated with P2X1 agonists, αβ-methylene ATP (αβMeATP) and βγMeATP. These currents were strongly impaired or absent in neutrophils from P2X1−/− mice. In Boyden chamber assays, αβMeATP provoked chemokinesis and enhanced formylated peptide- and IL-8-induced chemotaxis of human neutrophils. This agonist similarly increased W-peptide-induced chemotaxis of wild-type mouse neutrophils, whereas it had no effect on P2X1−/− neutrophils. In human as in mouse neutrophils, αβMeATP selectively activated the small RhoGTPase RhoA that caused reversible myosin L chain phosphorylation. Moreover, the αβMeATP-elicited neutrophil movements were prevented by the two Rho kinase inhibitors, Y27632 and H1152. In a gradient of W-peptide, P2X1−/− neutrophils migrated with reduced speed and displayed impaired trailing edge retraction. Finally, neutrophil recruitment in mouse peritoneum upon Escherichia coli injection was enhanced in wild-type mice treated with αβMeATP, whereas it was significantly impaired in the P2X1−/− mice. Thus, activation of P2X1 ion channels by ATP promotes neutrophil chemotaxis, a process involving Rho kinase-dependent actomyosin-mediated contraction at the cell rear. These ion channels may therefore play a significant role in host defense and inflammation.