Dorin Comaniciu

TL;DR: A 3D Anisotropic Hybrid Network (AH-Net) that transfers convolutional features learned from 2D images to 3D anisotropic volumes and inherits the desired strong generalization capability for within- slice information while naturally exploiting between-slice information for more effective modelling is proposed.

TL;DR: In this paper, an intelligent artificial agent based registration method is described, in which a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters.

TL;DR: A learning based approach to solid lymph node detection that relies on marginal space learning to achieve great speedup with virtually no loss in accuracy and a computationally efficient segmentation method for solid lymph nodes (LN).

TL;DR: A novel TV-based quotient image model (TVQI) is proposed for illumination normalization, an important preprocessing for face recognition under different lighting conditions and the results of the related applications - uneven background correction for cDNA mic roar ray films and digital microscope images are presented.

TL;DR: In this paper, a system and method for providing decision support to a physician during a medical examination is disclosed, where the received data includes image data and context data is analyzed with respect to one or more sets of training models.