The inherent complexity of biomedical systems is well recognized; they are multiscale, multiscience systems, bridging a wide range of temporal and spatial scales. While the importance of multiscale modelling in this context is increasingly recognized, there is little underpinning literature on the methodology and generic description of the process. The COAST (complex autonoma simulation techniq...

We develop a general framework to simultaneously exploit texture and shape characterization in multiscale image segmentation. By posing multiscale segmentation as a model selection problem, we invoke the powerful framework ooered by minimum description length (MDL). This framework dictates that multiscale segmentation comprises multiscale texture characterization and multiscale shape coding. An...

Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely in many scientific domains. These range from the study of protein conformational dynamics to multiphase processes in, for example, granular media or haemodynamics, and from nuclear reactor physics to astrophysics. Despite the diversity in subject areas and terminology, there are many common challe...

An image registration technique is presented for the registration of medical images using a hybrid combination of coarse-scale landmark and B-splines deformable registration techniques. The technique is particularly effective for registration problems in which the images to be registered contain large localized deformations. A brief overview of landmark and deformable registration techniques is...

We argue that, despite the fact that the field of multiscale modelling and simulation has enjoyed significant success within the past decade, it still holds many open questions that are deemed important but so far have barely been explored. We believe that this is at least in part due to the fact that the field has been mainly developed within disciplinary silos. The principal topics that in ou...

We investigate interpolatory multiscale transformations for functions between manifolds which are based on interpolatory subdivision rules. We characterize the HölderZygmund smoothness of a function between manifolds in terms of the coe cient decay w.r.t. this multiscale transform.

Human observers can very rapidly and accurately categorise scenes. This is context or gist vision. In this paper we present a biologically plausible scheme for gist vision which can be integrated into a complete cortical vision architecture. The model is strictly bottom-up, employing state-of-the-art models for feature extractions. It combines five cortical feature sets: multiscale lines and ed...

How a fertilized egg develops into a multicellular organism remains one of the most challenging questions in biology. Novel techniques provides unprecedented high-resolution data on the spatiotemporal dynamics of the developing embryo. However, interpretation of these data requires both wet lab experiments and computational modeling (Oates et al., 2009). Here, we present a new modeling environm...

One of the greatest challenges in biomedicine is to get a unified view of observations made from the molecular up to the organism scale. Towards this goal, multiscale models have been highly instrumental in contexts such as the cardiovascular field, angiogenesis, neurosciences and tumour biology. More recently, such models are becoming an increasingly important resource to address immunological...

Multiscale modeling has recently been widely used in various fields of science and engineering. A few research efforts have attempted to generalize existing applications mainly by means of classifying multiscale modeling paradigms, to reach a general understanding of multiscale modeling. However, these existing efforts have been largely inductive and abstracting from the applications the resear...