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MIA
2011
170views more  MIA 2011»
13 years 2 months ago
Robust statistical shape models for MRI bone segmentation in presence of small field of view
Accurate bone modeling from medical images is essential in the diagnosis and treatment of patients because it supports the detection of abnormal bone morphology, which is often re...
Jérôme Schmid, Jinman Kim, Nadia Magn...
PAMI
2006
136views more  PAMI 2006»
13 years 7 months ago
Data Driven Image Models through Continuous Joint Alignment
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Erik G. Learned-Miller
CORR
2011
Springer
222views Education» more  CORR 2011»
12 years 11 months ago
Weakly Supervised Learning of Foreground-Background Segmentation using Masked RBMs
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
Nicolas Heess, Nicolas Le Roux, John M. Winn
CVPR
2009
IEEE
14 years 2 months ago
Non-rigid 2D-3D pose estimation and 2D image segmentation
In this work, we present a non-rigid approach to jointly solve the tasks of 2D-3D pose estimation and 2D image segmentation. In general, most frameworks which couple both pose est...
Romeil Sandhu, Samuel Dambreville, Anthony J. Yezz...
TMI
2011
182views more  TMI 2011»
13 years 2 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang