D
Dorin Comaniciu
Researcher at Princeton University
Publications - 632
Citations - 43059
Dorin Comaniciu is an academic researcher from Princeton University. The author has contributed to research in topics: Segmentation & Object detection. The author has an hindex of 74, co-authored 622 publications receiving 40541 citations. Previous affiliations of Dorin Comaniciu include Siemens & Rutgers University.
Papers
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Patent
Method and System for Automatic Coronary Artery Detection
TL;DR: In this article, a method and system for coronary artery detection in 3D cardiac volumes is disclosed, where the heart chambers are segmented in the cardiac volume, and an initial estimation of a coronary artery is generated based on the segmented heart chambers.
Patent
Image segmentation using statistical clustering with saddle point detection
TL;DR: In this article, a system and method for image segmentation using statistical clustering with saddle point detection is presented. But the method is not suitable for the detection of saddle points.
Patent
Method and system for measuring left ventricle volume
TL;DR: In this article, a method and system for measuring the volume of the left ventricle (LV) in a 3D medical image, such as a CT, volume is disclosed.
Book ChapterDOI
LBM-EP: lattice-boltzmann method for fast cardiac electrophysiology simulation from 3d images
Saikiran Rapaka,Tommaso Mansi,Bogdan Georgescu,Mihaela Pop,Graham A. Wright,Ali Kamen,Dorin Comaniciu +6 more
TL;DR: Experiments showed that LBM-EP provides results comparable to an FEM implementation, while being 10 - 45 times faster, paving the way to efficient and detailed models of cardiac electrophysiology for therapy planning.
Patent
System and method for tracking anatomical structures in three dimensional images
TL;DR: In this paper, a system and method for defining and tracking a deformable shape of a candidate anatomical structure wall in a 3D image is disclosed, which is represented by a plurality of labeled 3D landmark points.