The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …

This paper presents a systematic literature review concerning 3D segmentation algorithms
for computerized tomographic imaging. This analysis covers articles published in the range …

Background Experimental ischemic stroke models play a fundamental role in interpreting the
mechanism of cerebral ischemia and appraising the development of pathological extent. An …

Motion saliency detection aims at finding the semantic regions in a video sequence. It is an
important pre-processing step in many vision applications. In this paper, we propose a new …

In this work we address part-based object detection under variability of part shapes and
spatial relations. Our approach bases on the hierarchical finite element modeling concept of …

3D anatomical shape atlas construction has been extensively studied in medical image
analysis research, owing to its importance in model-based image segmentation, longitudinal …

The development of sophisticated and high throughput whole body small animal imaging
technologies has created a need for improved image analysis and increased automation …

Accurate segmentation of the 30+ subcortical structures in MR images of whole diseased
brains is challenging due to inter-subject variability and complex geometry of brain anatomy …

Shrinkage of the hippocampus is a primary biomarker for Alzheimer's disease and can be
measured through accurate segmentation of brain MR images. The paper will describe the …

Shape information plays an important role in biomedical image analysis because of the
strong shape characteristics of biological structures. It is often used as a prior to constrain or …