Image-Based Computational Cardiology: From Data to Understanding

Image-Based Computational Cardiology: From Data to Understanding

Over the past decade, rapid advances in imaging technologies have enabled state-of-the-art image-based analysis of cardiac function at a variety of scales and from multiple aspects, such as cardiac electrophysiology, cardiac biomechanics, and cardiovascular system. This special issue aims to showcase developments in cardiac image computing over the past five years, with a special emphasis given...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

Computational Understanding of Image Memorability

Previous studies have identified that images carry the attribute of memorability, a predictive value of whether a novel image will be later remembered or forgotten. In this thesis we investigate the interplay between intrinsic and extrinsic factors that affect image memorability. First, we find that intrinsic differences in memorability exist at a finer-grained scale than previously documented....

Applications of Computational Verbs to Effective and Realtime Image Understanding

An effective and realtime image understanding algorithm must meet the challenges of ever-growing image databases, the varieties of features to be understood and the limited human resources for developing this algorithm. In this paper, the reasons that mainstream image understanding algorithms could not meet these challenges were presented. One effective and realtime image understanding platform...