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An Adaptive Total Variation Model for Image Segmentation

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An Adaptive Total Variation Model for Image Segmentation

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Image Segmentation With Background Correction Using A Multiplicative Smoothing-Spline Model

Image Segmentation with Background Correction Using a Multiplicative Smoothing-Spline Model

On the Convergence of EM-Like Algorithms for Image Segmentation using Markov Random Fields

Finding Objects of Interest in Images using Saliency and Superpixels

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

A collaborative approach to image segmentation and behavior recognition from image sequences

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Speeding up HMRF_EM algorithm for fast unsupervised image segmentation by Bootstrap resampling: Application to the brain tissue segmentation

Multimodal Evaluation for Medical Image Segmentation

Finding Objects of Interest in Images using Saliency and Superpixels

A collaborative approach to image segmentation and behavior recognition from image sequences

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Scene image classification and segmentation with quantized local descriptors and latent aspect modeling

Speeding up HMRF_EM algorithm for fast unsupervised image segmentation by Bootstrap resampling: Application to the brain tissue segmentation

Image Segmentation With Background Correction Using A Multiplicative Smoothing-Spline Model

On the Convergence of EM-Like Algorithms for Image Segmentation using Markov Random Fields

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Multimodal Evaluation for Medical Image Segmentation

Image Segmentation with Background Correction Using a Multiplicative Smoothing-Spline Model