Dorin Comaniciu

TL;DR: A part based LA model is proposed (including the chamber, appendage, and four major PVs) and each part is a much simpler anatomical structure compared to the holistic one and a statistical shape constraint is proposed during the estimation of pose parameters of different parts.

TL;DR: In this article, a system and method for illumination invariant change detection are provided, the system including a processor, an energy ranking unit in signal communication with the processor for extracting block coefficients for the first and second images and computing an energy difference responsive to the coefficients for a frequency energy between images.

TL;DR: This paper proposes a fully automatic system to detect and segment breast tumors in 2D ultrasound images, based on database-guided techniques, that learns the knowledge of breast tumor appearance exemplified by expert annotations.

TL;DR: This paper proposes an automatic and fast algorithm to localize and label the vertebra centroids in 3D CT volumes and outperforms other state-of-the-art methods in terms of localization accuracy.

TL;DR: The PHD framework is applied for accurately detecting various deformable anatomic structures from M- mode and Doppler echocardiograms in about a second and adopts a discriminative boosting learning implementation.