Visualitzant Departament d'Arquitectura i Tecnologia de Computadors per matèria "Imaging segmentation"

Microcalcification evaluation in computer assisted diagnosis for digital mammography

A new approach to segmentation based on fusing circumscribed contours, region growing and clustering

Monocular-based 3-D seafloor reconstruction and ortho-mosaicing by piecewise planar representation

Using appearance and context for outdoor scene object classification

Improving Clustering Algorithms for Image Segmentation using Contour and Region Information

A Novel Breast Tissue Density Classification Methodology

Rank estimation of trajectory matrix in motion segmentation

Multi-channel registration of fractional anisotropy and T1-weighted images in the presence of atrophy: application to multiple sclerosis

A review on automatic mammographic density and parenchymal segmentation

Evaluating the effects of white matter multiple sclerosis lesions on the volume estimation of 6 brain tissue segmentation methods

A toolbox for multiple sclerosis lesion segmentation

Semi-automatic tool for motion annotation on complex video sequences

Automated Detection of Lupus White Matter Lesions in MRI

A review on brain structures segmentation in magnetic resonance imaging

Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation

A collection of challenging motion segmentation benchmark datasets

Automated tissue segmentation of MR brain images in the presence of white matter lesions

Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

Noninvasive Grading of Glioma Tumor Using Magnetic Resonance Imaging with Convolutional Neural Networks

Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Brain structure segmentation in the presence of multiple sclerosis lesions

Supervised Domain Adaptation for Automatic Sub-cortical Brain Structure Segmentation with Minimal User Interaction

Quantitative Analysis of Patch-Based Fully Convolutional Neural Networks for Tissue Segmentation on Brain Magnetic Resonance Imaging