In this paper, we propose a generative statistical model to learn the spatiotemporal variability in longitudinal shape data sets, which contain repeated observations of a set of objects or individuals over time. From all the short-term sequences of individual data, the method estimates a long-term normative scenario of shape changes and a tubular c...
Published in SN Applied Sciences
Automated segmentation of abnormal tissues in medical images assists both physicians and medical researchers in the process of diseases diagnostic and research activities respectively. Intelligent techniques of automated segmentation are gaining more popularity in contrast to non-intelligent ones. In these techniques, quality representation of pixe...
Le cancer de la peau est un enjeu majeur de santé publique. Il représente le type de cancer ayant le plus fort taux de prévalence et le nombre de cas semble être en constante augmentation. Aujourd'hui, la méthode de référence pour le diagnostic du cancer cutané nécessite un échantillon de tissu suspect, appelé biopsie, prélevé après un simple exame...
In order to diagnose, monitor, and eventually cure a disease, quantitative measures of abnormality are required. If reference growth curves are available for child developmental disorders, building normative scenarii of alterations for neuro-degenerative diseases, which slowly develop over years, remains an open problem. Two main difficulties expla...
Published in Medical & Biological Engineering & Computing
A rapid method for left and right ventricular endocardial volume segmentation and clinical cardiac parameter calculation from MRI images of cardiac patients is presented. The clinical motivation is providing cardiologists a tool for assessing the cardiac function in a patient through the left ventricular endocardial volume’s ejection fraction. A ne...
In the last few years, deep learning has changed irrevocably the field of computer vision. Faster, giving better results, and requiring a lower degree of expertise to use than traditional computer vision methods, deep learning has become ubiquitous in every imaging application. This includes medical imaging applications. At the beginning of this th...
This paper presents and evaluates an approach to deploy image and video processing pipelines that are developed frame-oriented on a hardware platform that is stream-oriented, such as an FPGA. First, this calls for a specialized streaming memory hierarchy and accompanying software framework that transparently moves image segments between stages in t...
Tumor grading is an important prognostic parameter for renal cell carcinoma (RCC). However, current grading schemes require an invasive surgical procedure, putting patients at risks including increased risk of hemorrhage, infection, renal failure, or death. Furthermore, low grade RCC is indolent with low mortality risk and may not require treatment...
Cognitive impairment persists in the form of HIV-associated neurocognitive disorder (HAND) among chronically infected individuals despite successful viral suppression. Widespread access to combination antiretroviral therapy (cART) has allowed infected individuals to initiate treatment at an earlier time point and effectively reduce the risk of HIV-...
Periodic two-dimensional tungsten X-ray optical gratings were fabricated using a combination of pico-second laser ablation and wet chemical etch. A 200 μm thick cold-rolled sheet of tungsten (99.97%) was used as base material for the fabrication of a 1.5 × 1.5 cm2 periodic grating with an array of circular holes of approximately 12:1 aspect ratio. ...
