François Chung, Ph.D.

Tag: unsupervised learning

CVIU 2013 - Academic journal

CVIU 2013 – Academic journal article

Publication François Chung, Hervé Delingette; Regional appearance modeling based on the clustering of intensity profiles; In: Computer Vision and Image Understanding (CVIU), 117 (6), pp. 705-717, 2013. Abstract Model-based image segmentation is a popular approach for the segmentation of anatomical structures from medical images because it includes prior knowledge about the shape and appearance of structures […]

LAP 2011 - Book

LAP 2011 – Book

Publication François Chung; Regional appearance modeling for model-based image segmentation: Methodological approaches to improve the accuracy of model-based image segmentation; Lambert Academic Publishing (LAP), Saarbrücken, 2011; ISBN: 978-3844322095. Abstract This thesis presents a novel appearance prior for model-based image segmentation. This appearance prior, denoted as Multimodal Prior Appearance Model (MPAM), is built upon an Expectation–Maximization (EM) […]

TVC 2011 - Academic journal

TVC 2011 – Academic journal article

Publication François Chung, Jérôme Schmid, Nadia Magnenat-Thalmann, Hervé Delingette; Comparison of statistical models performance in case of segmentation using a small amount of training datasets; In: The Visual Computer (TVC), 27 (2), pp. 141-151, 2011. Abstract Model-based image segmentation has been extensively used in medical imaging to learn both shape and appearance of anatomical structures from […]

Ph.D. Thesis 2011 - Doctoral thesis

Ph.D. Thesis 2011 – Doctoral thesis

Publication François Chung; Regional appearance modeling for deformable model-based image segmentation; Doctoral thesis (Ph.D. Thesis), Mines ParisTech, Centre de Mathématiques Appliquées, 2011. Abstract This thesis presents a novel appearance prior for model-based image segmentation. This appearance prior, denoted as Multimodal Prior Appearance Model (MPAM), is built upon an Expectation-Maximization (EM) clustering of intensity profiles with […]

MICCAI 2009 – Conference

MICCAI 2009 – Conference proceeding

Publication François Chung, Hervé Delingette; Multimodal prior appearance models based on regional clustering of intensity profiles; MICCAI 2009: Medical Image Computing and Computer-Assisted Intervention, London, 2009. Abstract Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis (PCA) such as in Statistical Appearance […]

Multimodal prior

Multimodal prior

INRIA project @Sophia-Antipolis, France (2009). Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis (PCA) such as in Statistical Appearance Models (SAM), we propose a prior based on a regional clustering of intensity profiles that does not rely on accurate pointwise registration. […]