Amine Bohi

Amine Bohi
CESI LINEACT

PhD

About

15
Publications
3,309
Reads
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41
Citations
Citations since 2016
14 Research Items
41 Citations
201620172018201920202021202202468101214
201620172018201920202021202202468101214
201620172018201920202021202202468101214
201620172018201920202021202202468101214
Additional affiliations
December 2017 - present
Aix-Marseille Université
Position
  • PostDoc Position
September 2015 - June 2016
Université de Toulon
Position
  • Research Assistant
July 2013 - May 2017
Université de Toulon
Position
  • PhD In Computer Science (Computer Vision and Pattern Recognition)
Education
September 2013 - May 2017
Université de Toulon
Field of study
  • Computer Science
September 2009 - June 2011
Sidi Mohamed Ben Abdellah University
Field of study
  • Computer Science, Computer Graphics and Image Processing
September 2006 - June 2009
Sidi Mohamed Ben Abdellah University
Field of study
  • Computer Science and Mathematics

Publications

Publications (15)
Preprint
Full-text available
Vectors fields defined on surfaces constitute relevant and useful representations but are rarely used. One reason might be that comparing vector fields across two surfaces of the same genus is not trivial: it requires to transport the vector fields from the original surfaces onto a common domain. In this paper, we propose a framework grounded on di...
Conference Paper
Vectors fields defined on surfaces constitute relevant and useful representations but are rarely used. One reason might be that comparing vector fields across two surfaces of the same genus is not trivial: it requires to transport the vector fields from the original surfaces onto a common domain. In this paper, we propose a framework grounded on di...
Article
Full-text available
Background and objectives: Dynamic Magnetic Resonance Imaging (MRI) may capture temporal anatomical changes in soft tissue organs with high-contrast but the obtained sequences usually suffer from limited volume coverage which makes the high-resolution reconstruction of organ shape trajectories a major challenge in temporal studies. Because of the v...
Article
Full-text available
Abnormal cortical folding patterns, such as lissencephaly, pachygyria and polymicrogyria malformations, may be related to neurodevelopmental disorders. In this context, computational modeling is a powerful tool to provide a better understanding of the early brain folding process. Recent studies based on biomechanical modeling have shown that mechan...
Preprint
Full-text available
In this work, we present a pipeline for characterization of bladder surface dynamics during deep respiratory movements from dynamic Magnetic Resonance Imaging (MRI). Dynamic MRI may capture temporal anatomical changes in soft tissue organs with high-contrast but the obtained sequences usually suffer from limited volume coverage which makes the high...
Preprint
Full-text available
In this paper, we propose a method for characterizing 3D shapes from point clouds and we show a direct application on a study of organ temporal deformations. As an example, we characterize the behavior of a bladder during a forced respiratory motion with a reduced number of 3D surface points: first, a set of geodesically equidistant points represen...
Conference Paper
Abnormal cortical folding patterns may be related to neurodevelopmental disorders such as lissencephaly and polymicrogyria. In this context, computational modeling is a powerful tool to provide a better understanding of the early brain folding process. Recent studies based on biomechanical modeling have shown that mechanical forces play a crucial r...
Conference Paper
Cortical folding pattern is a main characteristic of the geometry of the human brain which is formed by gyri (ridges) and sulci (grooves). Several biological hypotheses have suggested different mechanisms that attempt to explain the development of cortical folding and its abnormal evolutions. Based on these hypotheses, biomechanical models of corti...
Article
Full-text available
Although neonatal arterial ischemic Stroke is now well‐studied, its complex consequences on long‐term cortical brain development has not yet been solved. In order to understand the brain development after focal early brain lesion, brain morphometry needs to be evaluated using structural parameters. In this work, our aim was to study and analyse the...
Preprint
Full-text available
Cortical folding pattern is a main characteristic of the geometry of the human brain which is formed by gyri (ridges) and sulci (grooves). Several biological hypotheses have suggested different mechanisms that attempt to explain the development of cortical folding and its abnormal evolutions. Based on these hypotheses, biomechanical models of corti...
Thesis
Full-text available
Dans cette thèse, nous développons une approche supervisée de reconnaissance d’objets basée sur l’utilisation de nouveaux descripteurs d’images globaux inspirés du modèle du cortex visuel humain primaire V1 en tant que groupe de roto-translations semi-discrètes SE (2,N)=R² x ZN produit semi-direct entre R² et ZN. La méthode proposée est basée sur d...
Article
Full-text available
In this paper, we propose a supervised object recognition method using new global features and inspired by the model of the human primary visual cortex V1 as the semidiscrete roto-translation group \(SE(2,N) = {\mathbb {Z}}_N\rtimes {\mathbb {R}}^2\). The proposed technique is based on generalized Fourier descriptors on the latter group, which are...
Preprint
Full-text available
In this paper we propose a supervised object recognition method using new global features. The proposed technique, based on the Fourier transform evaluated on a regular hexagonal grid, allows extracting descriptors which are invariant to geometric transformations (rotations, scale invariant, translations...). The obtained descriptors are next used...

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Projects

Projects (3)
Project
The objective is to perform a morphometry study focusing on changes such as cortical thickness, cortical folding, white matter fiber shape, after NAIS using the AVCnn cohort, and the available CMIND dataset (Cincinatti, MR imaging of NeuroDevelopment, https://research.cchmc.org/c- mind) as a control population. We plan to characterize the impact of NAIS on brain development in patients included in the AVCnn cohort using morphological features and connectivity-based measurements. We will compute structural connectivity to the ischemic lesion by reconstruction of white-matter tracts connecting stroke regions with remote cortical surfaces using fiber tracking methods. The structural T1-weighted images will be processed using the Freesurfer software package to segment brain structures and to compute the cortical thickness. Brain folding will be characterize using in-house software. Results will be to bridge the gap between NAIS and physical growth modeling.
Project
With a prevalence of 1/2000 to 1/4000 births, arterial ischemic stroke is the most common form of stroke of the child. One of the characteristics of neonatal neurology is the absence of simultaneous change between the onset of brain injury and clinical signs. The stroke, which may result in 30% of cases with cerebral palsy, may not be diagnosed until months or years. The objective of this project is to find the causes of abnormal brain development patterns from synergies between MRI and physical modeling. MRI data are usually used as in vivo observations only to estimate correlations between cognitive or motor score with quantitative image-based measurements. However, correlation is not causality, meaning that MRI data analysis cannot provide explanations alone. The objective is to work on the determination and understanding of the critical brain developmental stages and of the causes of abnormal developments from the joint use of advanced physical models and accurate in vivo observations.