The success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can c...
Protein subcellular locations, as an important property of proteins, are commonly learned using fluorescence microscopy. Previous work by our group has shown that automated analys...
This paper presents a new approach to prior shape and appearance modeling for use in curve evolution-based segmentation. The new method is based on the unified use of feature dist...
Nonlinear registration of 3D surfaces is important in many medical imaging applications, including the mapping of longitudinal changes in anatomy, or of multi-subject functional M...
Vocabularies to describe research findings are needed to effectively use scientific databases. As understanding of data evolves, scientists need tools for extending the vocabulari...
Josiah Johnston, Arpun Nagaraja, Harry Hochheiser,...
This paper examines the spatial resolution properties of nonquadratically regularized image reconstruction methods for positron emission tomography (PET). It is well known that qu...
Average 3D digital atlas construction from a set of images is an important task for registration and assessment of intraand inter-population differences in structural and function...
We present an algorithm for the segmentation of multicell fluorescence microscopy images. Such images abound and a segmentation algorithm robust to different experimental conditio...
Non-Rigid image registration has been widely developed over the last years. However, many registration techniques do not take into account any a priori information on the structur...
This paper describes the development and application of methods to integrate research image analysis methods and software with a commercial image guided surgery navigation system ...
Xenophon Papademetris, Kenneth P. Vives, Marcello ...