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MICCAI
2005
Springer
16 years 21 days ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
MICCAI
2010
Springer
14 years 9 months ago
A Generative Model for Brain Tumor Segmentation in Multi-Modal Images
Abstract. We introduce a generative probabilistic model for segmentation of tumors in multi-dimensional images. The model allows for different tumor boundaries in each channel, ref...
Bjoern H. Menze, Koenraad Van Leemput, Danial Lash...
MICCAI
2009
Springer
16 years 1 months ago
Modeling Respiratory Motion for Cancer Radiation Therapy Based on Patient-Specific 4DCT Data
Prediction of respiratory motion has the potential to substantially improve cancer radiation therapy. A nonlinear finite element (FE) model of respiratory motion during full breath...
Jaesung Eom, Chengyu Shi, Xie George Xu, Suvran...
ICVGIP
2004
15 years 1 months ago
Modeling Signs Using Functional Data Analysis
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta
ICIP
2006
IEEE
16 years 1 months ago
Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model
We address unsupervised variational segmentation ofmulti-look complex polarimetric images using a Wishart observation model via level sets. The methods consists of minimizing a fu...
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj