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 …

The last half century has seen the development of many biological or physical t-ories that
have explicitly or implicitly involved medial descriptions of objects and other spatial entities …

Objects and object complexes in 3D, as well as those in 2D, have many possible
representations. Among them skeletal representations have special advantages and some …

Caudate and hippocampal volume differences in patients with schizophrenia are associated
with disease and antipsychotic treatment, but local shape alterations have not been …

Learning probability distributions of the shape of anatomic structures requires fitting shape
representations to human expert segmentations from training sets of medical images. The …

The discrete m-rep, a medial representation of anatomical objects made from one or more
meshes of medial atoms, has many attractive properties for biomedical image analysis. The …

The medial model is a powerful shape representation method that models a 3D object by
explicitly defining its skeleton (medial axis) and deriving the boundary geometry according …

We present a methodology for estimating the probability of multi-object anatomic complexes
that reflects both the individual objects' variability and the variability of the inter-relationships …

Termination analyzers generally synthesize ranking functions or relations, which represent
checkable proofs of their results. In [23], we proposed an approach for conditional …

The cm-rep (continuous medial representation) is a powerful shape representation method
that models a 3D object by describing its medial axis (skeleton) and boundary as continuous …