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» A numerical algorithm for avascular tumor growth model
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ICCV
2007
IEEE
14 years 6 months ago
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework
In this paper we propose a new framework to simultaneously segment and register lung and tumor in serial CT data. Our method assumes nonrigid transformation on lung deformation an...
Yuanjie Zheng, Karl Steiner, Thomas Bauer, Jingyi ...
AI
2006
Springer
13 years 8 months ago
A Classification-Based Glioma Diffusion Model Using MRI Data
Gliomas are diffuse, invasive brain tumors. We propose a 3D classification-based diffusion model, cdm, that predicts how a glioma will grow at a voxel-level, on the basis of featur...
Marianne Morris, Russell Greiner, Jörg Sander...
MICCAI
2007
Springer
14 years 5 months ago
Towards an Identification of Tumor Growth Parameters from Time Series of Images
In cancer treatment, understanding the aggressiveness of the tumor is essential in therapy planning and patient follow-up. In this article, we present a novel method for quantifyin...
Ender Konukoglu, Olivier Clatz, Pierre-Yves Bondia...
SCALESPACE
1999
Springer
13 years 9 months ago
Nonlinear PDEs and Numerical Algorithms for Modeling Levelings and Reconstruction Filters
In this paper we develop partial differential equations (PDEs) that model the generation of a large class of morphological filters, the levelings and the openings/closings by rec...
Petros Maragos, Fernand Meyer
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 2 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...