Summary statistics from training images as prior information in probabilistic inversion

Segmenting “Flares” in Ultrasound Images Using Prior Statistics

The common method neonatologists use nowadays to determine White Matter Damage (leukomalacia) is by visual inspection of ultrasound images of the neonatal brain. A need for a (semi)computerized way of delineating the affected regions, in order to make quantitative measurements as an aid to the subjective diagnosis, is felt. The use of active contours for this purpose is a classical approach [1,...

Summary statistics in vision

Transethnic Genetic-Correlation Estimates from Summary Statistics.

The increasing number of genetic association studies conducted in multiple populations provides an unprecedented opportunity to study how the genetic architecture of complex phenotypes varies between populations, a problem important for both medical and population genetics. Here, we have developed a method for estimating the transethnic genetic correlation: the correlation of causal-variant eff...

Answering Queries from Statistics and Probabilistic Views

Systems integrating dozens of databases, in the scientific domain or in a large corporation, need to cope with a wide variety of imprecisions, such as: different representations of the same object in different sources; imperfect and noisy schema alignments; contradictory information across sources; constraint violations; or insufficient evidence to answer a given query. If standard query semant...

A Probabilistic Correspondence Algorithm Using Shape Cues and Prior Information

Correspondence of features between two or more images obtained from different views of the same object is still a challenging problem in vision. In many applications, these two views are part of a larger video sequence. The aim of this paper is to show that the original video data contains enough information (referred to as prior information) to design a robust correspondence algorithm. A doubl...