Remy Vandaele

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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.(More)
In this paper, we describe the machine learning approach we used in the context of the Automatic Cephalometric X-Ray Landmark Detection Challenge. Our solution is based on the use of ensembles of Extremely Randomized Trees combined with simple pixel-based multi-resolution features. By carefully tuning method parameters with cross-validation, our approach(More)
Plasmacytoid monocytes are normal cell constituents of the human lymph node and have been found to form perivascular clusters in a case of lymphocytic infiltration of the skin. This study was undertaken to analyze the occurrence of plasmacytoid monocyte clusters in biopsy specimens from 54 patients with lymphocytic infiltration of the skin using light(More)