4.7 Article

GLISTR: Glioma Image Segmentation and Registration

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Automatic segmentation, internal classification, and follow-up of optic pathway gliomas in MRI

L. Weizman et al.

MEDICAL IMAGE ANALYSIS (2012)

Article Computer Science, Interdisciplinary Applications

Deformable Registration of Glioma Images Using EM Algorithm and Diffusion Reaction Modeling

Ali Gooya et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2011)

Article Computer Science, Interdisciplinary Applications

Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations

Ender Konukoglu et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2010)

Article Computer Science, Artificial Intelligence

Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins

Ender Konukoglu et al.

MEDICAL IMAGE ANALYSIS (2010)

Article Radiology, Nuclear Medicine & Medical Imaging

Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images

Ragini Verma et al.

ACADEMIC RADIOLOGY (2008)

Review Clinical Neurology

Brain tumor imaging in clinical trials

J. W. Henson et al.

AMERICAN JOURNAL OF NEURORADIOLOGY (2008)

Article Computer Science, Interdisciplinary Applications

Efficient multilevel brain tumor segmentation with integrated Bayesian model classification

Jason J. Corso et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2008)

Article Mathematics, Applied

BRAIN-TUMOR INTERACTION BIOPHYSICAL MODELS FOR MEDICAL IMAGE REGISTRATION

Cosmina Hogea et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2008)

Article Computer Science, Artificial Intelligence

Deformable registration of brain tumor images via a statistical model of tumor-induced deformation

Ashraf Mohamed et al.

MEDICAL IMAGE ANALYSIS (2006)

Article Multidisciplinary Sciences

Hierarchy and adaptivity in segmenting visual scenes

Eitan Sharon et al.

NATURE (2006)

Article Neurosciences

A Bayesian model for joint segmentation and registration

Kilian A. Pohl et al.

NEUROIMAGE (2006)

Article Computer Science, Interdisciplinary Applications

Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation

O Clatz et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2005)

Article Neurosciences

Unified segmentation

J Ashburner et al.

NEUROIMAGE (2005)

Article Engineering, Biomedical

A system for brain tumor volume estimation via MR imaging and fuzzy connectedness

JG Liu et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2005)

Article Computer Science, Artificial Intelligence

An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision

Y Boykov et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2004)

Article Computer Science, Artificial Intelligence

A brain tumor segmentation framework based on outlier detection

M Prastawa et al.

MEDICAL IMAGE ANALYSIS (2004)

Article Radiology, Nuclear Medicine & Medical Imaging

Automatic brain tumor segmentation by subject specific modification of atlas priors

M Prastawa et al.

ACADEMIC RADIOLOGY (2003)

Article Neurosciences

Fast robust automated brain extraction

SM Smith

HUMAN BRAIN MAPPING (2002)

Article Computer Science, Interdisciplinary Applications

Automated segmentation of multiple sclerosis lesions by model outlier detection

K Van Leemput et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2001)

Article Mathematics, Applied

Asynchronous parallel pattern search for nonlinear optimization

PD Hough et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2001)

Article Computer Science, Interdisciplinary Applications

Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

YY Zhang et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2001)

Article Computer Science, Artificial Intelligence

Automatic segmentation of non-enhancing brain tumors in magnetic resonance images

LM Fletcher-Heath et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2001)