Dorin Comaniciu

TL;DR: In this article, a computer-implemented method for identifying an optimal set of parameters for medical image acquisition includes receiving a set of input parameters corresponding to a medical imaging scan of a patient, and using a model of operator parameter selection to determine the set of optimal target parameter values for a medical image scanner.

TL;DR: In this paper, a camera captures the patient so that the characteristics (e.g., organ position) may be derived, and a Monte Carlo, machine-learnt, or other model estimates the dosage for different locations in the patient.

TL;DR: A novel physiological model of the complete heart, including the chambers and valvular apparatus is introduced, which captures a large spectrum of morphological, dynamic and pathological variations and enables for patient-specific hemodynamic simulations and blood flow analysis.

TL;DR: In this paper, a method and system for segmentation of mitral valve inflow (MI) patterns in Doppler echocardiogram images is disclosed, where two global structure detectors, a single triangle detector for nonoverlapping E-waves and A-waves, and a double triangle detector with overlapping E-wave and a-wave, are used to detect single triangle candidates and double triangle candidates based on the left root, right root, and peak candidates.

TL;DR: Novel methods to accurately placing landmarks inside the vessel lumen are presented, an important prerequisite to automatic centerline tracing.