Manifold Learning in MR spectroscopy using nonlinear dimensionality reduction and unsupervised clustering

E-ISSN： 1522-2594|74|3|868-878

ISSN： 0740-3194

Source： MAGNETIC RESONANCE IN MEDICINE, Vol.74, Iss.3, 2015-09, pp. : 868-878

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C‐Means clustering

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Vol. 25, Iss. 3, 2015-09 ,pp. : 213-225

John Wiley & Sons Inc

Access to resources Recommend Favorite

Unsupervised and Precise Tracking of Brain Parenchyma Volume Using Dual Spin Echo T2 Weighted MR Data

Current Medical Imaging Reviews, Vol. 11, Iss. 3, 2015-01 ,pp. : 141-151

Bentham Science Publishers

Access to resources Recommend Favorite

Robust phase unwrapping for MR temperature imaging using a magnitude‐sorted list, multi‐clustering algorithm

MAGNETIC RESONANCE IN MEDICINE, Vol. 73, Iss. 4, 2015-04 ,pp. : 1662-1668

John Wiley & Sons Inc

Access to resources Recommend Favorite

Automatic detection of end-diastole and end-systole from echocardiography images using manifold learning

By Gifani Parisa Behnam Hamid Shalbaf Ahmad

Physiological Measurement, Vol. 31, Iss. 9, 2010-09 ,pp. : 1091-1103

IOP Publishing

Access to resources Recommend Favorite

NeXt for neuro‐radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Vol. 28, Iss. 1, 2018-03 ,pp. : 21-37

John Wiley & Sons Inc

Access to resources Recommend Favorite