MICCAI 2008 Workshop: MS Lesion Segmentation

Issue

MS Lesion Segmentation

Title

Authors

Keywords

Multiple Sclerosis Detection in Multispectral Magnetic Resonance Images with Principal Components Analysis.

Kroon, Dirk-Jan, van Oort, Erik, Slump, Kees

Non-rigid Registration, FLAIR, Feature Vector, Multiple Sclerosis, Lesions, PCA, MR, Bias Field

Multiple Sclerosis Lesion Segmentation Using Statistical and Topological Atlases

Shiee, Navid, Bazin, Pierre-Louis, Pham, Dzung L.

Tissue Classification, Multiple Sclerosis, Magnetic Resonance Imaging

A robust Expectation-Maximization algorithm for Multiple Sclerosis lesion segmentation

Garcia-Lorenzo, Daniel, Prima, Sylvain, Morrissey, Sean P., Barillot, Christian

segmentation, EM, workflow, MS

Automatic Segmentation of MS Lesions Using a Contextual Model for the MICCAI Grand Challenge

Morra, Jonathan, Tu, Zhuowen, Toga, Arthur, Thompson, Paul

Automated Segmentation, AdaBoost, Machine Learning

Automated MS-Lesion Segmentation by K-Nearest Neighbor Classification

Viergever, Max A., Anbeek, Petronella, Vincken, Koen L.

lesion, MS, Multiple Sclerosis, brain, segmentation, white matter

The MIDAS Journal