Cited By
View all- Ribbens AHermans JMaes FVandermeulen DSuetens P(2010)SPARCProceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro10.5555/1855963.1856183(856-859)Online publication date: 14-Apr-2010
This paper addresses the issue of the weak association between brain MRI intensity value and anatomical meaning of MR image pixels. By investigating the deformation on brain lateral ventricles and compression from tumor, the correlation between them is ...
Tumor segmentation from magnetic resonance (MR) images may aid in tumor treatment by tracking the progress of tumor growth and/or shrinkage. In this paper we present the first automatic segmentation method which separates non-enhancing brain tumors from ...
Delineation of the lung and lobar anatomy in MR images is challenging due to the limited image contrast and the absence of visible interlobar fissures. Here we propose a novel automated lung and lobe segmentation method for pulmonary MR images. ...
IEEE Press