Publications de Nawal Houhou | EPFL Graph Search

Semi-Supervised Segmentation of Ultrasound Images Based on Patch Representation and Continuous Min Cut

Jean-Philippe Thiran, Meritxell Bach Cuadra, Olivier Cuisenaire, Xavier Bresson, Nawal Houhou, Anca-Ramona Ciurte

Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the ...

Public Library Science2014

Phosphorylation Regulates FOXC2-Mediated Transcription in Lymphatic Endothelial Cells

Nadine Fournier, Mauro Delorenzi, Nawal Houhou, Yan Agalarov

One of the key mechanisms linking cell signaling and control of gene expression is reversible phosphorylation of transcription factors. FOXC2 is a forkhead transcription factor that is mutated in the human vascular disease lymphedema-distichiasis and plays ...

Amer Soc Microbiology2013

An Efficient Segmentation Method for Ultrasound Images based on a Semi-supervised Approach and Patch-based Features

Jean-Philippe Thiran, Meritxell Bach Cuadra, Xavier Bresson, Nawal Houhou, Anca-Ramona Ciurte, Alessia Pica

Segmenting ultrasound images is a challenging problem where standard unsupervised segmentation methods such as the well-known Chan-Vese method fail. We propose in this paper an efficient segmentation method for this class of images. Our proposed algorithm ...

2011

Variational methods for texture segmentation

Nawal Houhou

In the last decades, image production has grown significantly. From digital photographs to the medical scans, including satellite images and video films, more and more data need to be processed. Consequently the number of applications based on digital imag ...

EPFL2009

Fast Texture Segmentation Based on Semi-local Region Descriptor and Active Contour

Jean-Philippe Thiran, Xavier Bresson, Nawal Houhou

In this paper, we present an efficient approach for unsupervised segmentation of natural and textural images based on the extraction of image features and a fast active contour segmentation model. We address the problem of textures where neither the gray-l ...

2009

Segmentation of head and neck lymph node regions for radiotherapy planning, using active contour based atlas registration

Jean-Philippe Thiran, Meritxell Bach Cuadra, Valérie Duay, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Nawal Houhou

In this paper, we present the segmentation of the head and neck lymph node regions using a new active contour based atlas registration model. We propose to segment the lymph node regions without directly including them in the atlas registration process; in ...

2009

Semi-Supervised Segmentation based on Non-local Continuous Min-Cut

Jean-Philippe Thiran, Xavier Bresson, Nawal Houhou

We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentation process is performed via energy minimization. The proposed energy is comp ...

Springer2009

Fast Texture Segmentation Model based on the Shape Operator and Active Contour

Jean-Philippe Thiran, Xavier Bresson, Nawal Houhou

We present an approach for unsupervised segmentation of natural and textural images based on active contour, differential geometry and information theoretical concept. More precisely, we propose a new texture descriptor which intrinsically defines the geom ...

2008

Hierarchical Image Registration with an Active Contour-Based Atlas Registration Model

Jean-Philippe Thiran, Valérie Duay, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Nawal Houhou

This paper proposes to apply the non parametric atlas registration framework we have recently developed in [6]. This technique derived from the optical flow model and the active contour framework allows to base the registration of an anatomical atlas on se ...

2008

Brain Surface Segmentation of Magnetic Resonance Images of the Fetus

Jean-Philippe Thiran, Meritxell Bach Cuadra, Marie Schaer, Dominique Zosso, Nawal Houhou, Damien Ferrario

In this work we present a method for the image analysis of Magnetic Resonance Imaging (MRI) of fetuses. Our goal is to segment the brain surface from multiple volumes (axial, coronal and sagittal acquisitions) of a fetus. To this end we propose a two-step ...

2008