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 …

Functional localization is a concept which involves the application of a sequence of
geometrical and statistical image processing operations in order to define the location of …

Image-guided therapy (IGT) uses imaging to improve the localization and targeting of
diseased tissue and to monitor and control treatments. During the past decade, image …

Accurate definition of the similarity measure is a key component in image registration. Most
commonly used intensity-based similarity measures rely on the assumptions of …

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

In this paper, we propose a novel method for image fusion with a high-resolution
panchromatic image and a low-resolution multispectral (Ms) image at the same …

Abstract Computerized Image Registration approaches can offer automatic and accurate
image alignments without extensive user involvement and provide tools for visualizing …

Intervertebral disc degeneration is an age-associated condition related to chronic back pain,
while its consequences are responsible for over 90% of spine surgical procedures. In …

Recent advances in hyperspectral imaging have made it a promising solution for intra-
operative tissue characterization, with the advantages of being non-contact, non-ionizing …

The work explores the use of denoising autoencoders (DAEs) for brain lesion detection,
segmentation, and false-positive reduction. Stacked denoising autoencoders (SDAEs) were …