Automated estimation of ischemic stroke evolution across different brain anatomical regions
has immense potential to revolutionize stroke treatment. Multi-sequence Magnetic …

Non-invasive, quantitative and robust identification of ischemic stroke and estimation of
injury extent is essential for assisting neuroradiologists. Manual Iesion delineation …

Automated methods for segmentation of ischemic stroke lesions could significantly reduce
the workload of radiologists and speed up the beginning of patient treatment. In this paper …

Automatic segmentation of ischemic stroke lesion volumes from multi-spectral Magnetic
Resonance Imaging (MRI) sequences plays a vital role in quantifying and locating the lesion …

From clinical practise as well as research methods rises the need for accurate, reproducible
and reliable segmentation of ischemic stroke lesions from brain MR scans. This article …

Ischemic stroke is the most common cerebrovascular disease, and its diagnosis, treatment,
and study relies on non-invasive imaging. Algorithms for stroke lesion segmentation from …

This paper presents an automated segmentation framework for ischemic stroke lesion
segmentation in multi-spectral MRI images. The framework is based on a random forests …

Automatic segmentation of ischemic stroke lesions in magnetic resonance (MR) images is
important in clinical practice and for neuroscientific trials. The key problem is to detect …

Background and objective. Acute stroke lesion segmentation tasks are of great clinical
interest as they can help doctors make better informed time-critical treatment decisions …

Neuroimaging in the context of stroke is becoming more and more important. Quantifying
and characterizing stroke lesions is still an open challenge. In this paper, we propose a …