Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...
We present a method for controlling a dynamical system using real-time fMRI. The objective for the subject in the MR scanner is to balance an inverted pendulum by activating the le...
Anders Eklund, Henrik Ohlsson, Mats T. Andersson...
We present a new functional magnetic resonance imaging (fMRI) analysis method that incorporates both spatial and temporal dynamics of bloodoxygen-level dependent (BOLD) signals wit...
Bernard Ng, Rafeef Abugharbieh, Samantha J. Palmer...
In this paper we present a system that electromagnetically tracks the positions and orientations of multiple wireless objects on a tabletop display surface. The system offers two ...
James Patten, Hiroshi Ishii, Jim Hines, Gian Panga...
Segmentation of 3D human body is a very challenging problem in applications exploiting human scan data. To tackle this problem, this paper proposes a topological approach based on...