Dorin Comaniciu

TL;DR: Clinical evaluation showed, that the proposed fully-automatic approach could provide discriminant biomarkers to detect and quantify remodeling of annulus and leaflets in functional mitral regurgitation.

TL;DR: In this paper, a method and system for integrating radiological and pathological information for cancer diagnosis, therapy selection, and monitoring is disclosed, where a radiological image of a patient, such as a magnetic resonance (MR), computed tomography (CT), positron emission tomography(PET), or ultrasound image, is received.

TL;DR: The proposed integrated framework enables, for the first time, to quantitatively evaluate an MV finite-element model in-vivo, on eleven patients, and to predict the outcome of MitralClip intervention in one of these patients.

TL;DR: A learned prior of the spatial distribution is proposed to model this knowledge and it is shown that the prior based detector yields a true positive rate of 52.3% for seven false positives per volume image, which is about two times better than without a spatial prior.

TL;DR: In this article, the authors present a virtual environment system consisting of an acoustic localizer adapted to determine the location of sound sources in a local environment, a user data I/O device, a remote data IO device in a remote world, and a system controller in data communication with the acoustic localiser, user data IO devices, and remote data IO device.