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 …

Easier access to X‐ray microtomography (μCT) facilities has provided much new insight
from high‐resolution imaging for various problems in porous media research. Pore space …

State-of-the-art light and electron microscopes are capable of acquiring large image
datasets, but quantitatively evaluating the data often involves manually annotating structures …

Background Currently, only a fraction of patients with non-small cell lung cancer (NSCLC)
treated with immune checkpoint inhibitors (ICIs) experience a durable clinical benefit (DCB) …

The amount of medical image data produced in clinical and research settings is rapidly
growing resulting in vast amount of data to analyze. Automatic and reliable quantitative …

Quantitative analysis has tremendous but mostly unrealized potential in healthcare to
support objective and accurate interpretation of the clinical imaging. In 2008, the National …

SimpleITK is a new interface to the Insight Segmentation and Registration Toolkit (ITK)
designed to facilitate rapid prototyping, education and scientific activities via high level …

Nonrigid image registration is an important, but time-consuming task in medical image
analysis. In typical neuroimaging studies, multiple image registrations are performed, ie, for …

Retinal vessel segmentation algorithms are a fundamental component of automatic retinal
disease screening systems. This work examines the blood vessel segmentation …

A variant of the popular nonparametric nonuniform intensity normalization (N3) algorithm is
proposed for bias field correction. Given the superb performance of N3 and its public …