F
Fabian Lecron
Researcher at University of Mons
Publications - 36
Citations - 488
Fabian Lecron is an academic researcher from University of Mons. The author has contributed to research in topics: Active shape model & Image segmentation. The author has an hindex of 11, co-authored 32 publications receiving 384 citations.
Papers
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Journal ArticleDOI
Weighting strategies for a recommender system using item clustering based on genres
Sbastien Frmal,Fabian Lecron +1 more
TL;DR: This paper presents an original clustering approach for recommender systems based on item metadata informations, which improves the MAE between 0.3 and 1.8%, and the RMSE between 4.7 and 9.8%.
Journal ArticleDOI
A framework of vertebra segmentation using the active shape model-based approach
TL;DR: A medical image segmentation approach based on the Active Shape Model theory for cervical vertebra detection that allows the use of two different models, that is, a global one (with several vertebrae) and a local one ( with a single vertebra).
Journal ArticleDOI
Specifics of medical data mining for diagnosis aid: A survey
TL;DR: This survey paper provides guidelines to contribute to the design of daily helpful diagnosis aid systems, by focusing on the specifics of diagnosis aid, and the related data modeling goals.
Proceedings ArticleDOI
GPU-based segmentation of cervical vertebra in X-Ray images
TL;DR: It is presented how vertebra extraction can efficiently be performed in exploiting the vast processing power of the Graphics Processing Units (GPU), and a CUDA-based GPU implementation of the most intensive processing steps enabling to boost performance.
Journal ArticleDOI
A multi-level classification framework for multi-site medical data
TL;DR: A multi-level approach (inspired by multi- level statistical modeling) based on decision trees (in the sense of machine learning) is applied on the public ADHD-200 collection for the study of Attention Deficit Hyperactivity Disorder (ADHD).