Sébastien Martin

Learn More
PURPOSE The authors present a fully automatic algorithm for the segmentation of the prostate in three-dimensional magnetic resonance (MR) images. METHODS The approach requires the use of an anatomical atlas which is built by computing transformation fields mapping a set of manually segmented images to a common reference. These transformation fields are(More)
This paper presents the preliminary results of a semi-automatic method for prostate segmentation of magnetic resonance images (MRI) which aims to be incorporated in a navigation system for prostate brachytherapy. The method is based on the registration of an anatomical atlas computed from a population of 18 MRI exams onto a patient image. An hybrid(More)
There is no or limited consensus on the quantitative impact of institutions on unemployment, which has led some to question the case for structural reforms. Recent studies suggest also that institutions interact with each other and cannot be analysed in isolation. In this paper, we estimate a standard reduced-form model to explore the institutional(More)
Glioblastoma (GBM) is the most malignant type of primary brain tumor with a very poor prognosis. The actual standard protocol of treatment for GBM patients consists of radiotherapy and concomitant temozolomide (TMZ). However, the therapeutic efficacy of this treatment is limited due to tumor recurrence and TMZ resistance. Recently isolated, glioma stem-like(More)
An average Reynolds equation is proposed for predicting the effects of deterministic periodic roughness, taking JFO mass flow preserving cavitation model and elastohydrodynamic effects into account. For this, the asymptotic model is based upon double scale analysis approach. The average Reynolds equation can be used both for microscopic interasperity(More)
Motivated by some cloud computing applications, this paper considers an unrelated parallel-machine scheduling problem under precedence constraints. We mainly propose an efficient genetic algorithm based on a permutation coding. The performances of the proposed algorithm have been compared to an existing greedy search method and to an exact formulation based(More)
This paper presents a semi-automatic method for the segmentation and the tracking of the mitral valve leaflet in transesophageal echocardiography. We use two connected active contours in order to track efficiently the mitral leaflet. Segmentation of very fast and non rigid motions involved are realized in two steps. In the first step we use transformation(More)
The poor signal-to-noise ratio in transrectal ultrasound (TRUS) images makes the fully automatic segmentation of the prostate challenging and most approaches proposed in the literature still lack robustness and accuracy. However, it is relatively straightforward to obtain high quality segmentations in magnetic resonance (MR) images. In the context of MR to(More)
This paper presents a semi-automatic method for tracking the mitral valve leaflet in transesophageal echocardiography. The algorithm requires a manual initialization and then segments an image sequence. The use of two constrained active contours and curve fitting techniques results in a fast segmentation algorithm. The active contours successfully track the(More)
An average Reynolds equation for predicting the effects of deterministic periodic roughness, taking JFO mass flow preserving cavitation model into account, is introduced based upon double scale analysis approach. This average Reynolds equation can be used both for a microscopic interasperity cavitation and a macroscopic one. The validity of such a model is(More)