In this paper we report the set-up and results of the Multimodal Brain Tumor Image
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …

MRI-based medical image analysis for brain tumor studies is gaining attention in recent
times due to an increased need for efficient and objective evaluation of large amounts of …

Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …

Normal and abnormal brains can be segmented by registering the target image with an
atlas. Here, an atlas is defined as the combination of an intensity image (template) and its …

A general-purpose deformable registration algorithm referred to as “DRAMMS” is presented
in this paper. DRAMMS bridges the gap between the traditional voxel-wise methods and …

Synthesis of unavailable imaging modalities from available ones can generate modality-
specific complementary information and enable multi-modality based medical images …

Abstract KS 0, Λ, Ξ, Ω and negative particle h− yields and transverse mass spectra,
measured at central rapidity in p-Pb and Pb-Pb collisions at 158 A GeV/c, are presented and …

Automatic segmentation of multiple sclerosis (MS) lesions in brain MRI has been widely
investigated in recent years with the goal of hel** MS diagnosis and patient follow-up …

We introduce a generative probabilistic model for segmentation of tumors in multi-
dimensional images. The model allows for different tumor boundaries in each channel …