The papers in this special section focus on emerging computational intelligent techniques to address the challenges biomedical data and image processing.

Implantable image sensors have several biomedical applications due to their miniature size, light weight, and low power consumption achieved through sub-micron standard CMOS (Complementary Metal Oxide Semiconductor) technologies. The main applications are in specific cell labeling, neural activity detection, and biomedical imaging. In this paper the recent research studies on implantable CMOS i...

Positron emission tomography (PET) imaging can provide quantitative physiological information, in addition to qualitative information. However, most of PET image handling software packages have not included modeling and quantitative analysis functions. In this paper, based on some of our systematic studies on biomedical functional image data processing and modeling, we developed a functional im...

This chapter aims to provide an overview of the foundations of texture processing for biomedical image analysis. Its purpose is to define precisely what biomedical texture is, how is it different from general texture information considered in computer vision, and what is the general problem formulation to translate 2D and 3D textured patterns from biomedical images to visually and biologically ...

Image processing is an important quantitative technique for neuroscience researchers, but difficult for those who lack experience in the field. In this paper we present a web-based platform that allows an expert to create a brain image processing pipeline, enabling execution of that pipeline even by those biomedical researchers with limited image processing knowledge. These tools are implemente...

Automated Arterial Input Function Detection in Ascending Aorta for Breast DCE-MRI Venkata Veerendranadh Chebrolu, Dattesh D Shanbhag, Sheshadri Thiruvenkadam, Sandeep Kaushik, Uday Patil, Patrice Hervo, Sandeep N Gupta, and Rakesh Mullick Medical Image Analysis Lab, GE Global Research, Bangalore, Karnataka, India, GE Healthcare, Buc, France, Biomedical Image Processing Lab, GE Global Research, ...