Current clinical brain tumor imaging
JE Villanueva-Meyer, MC Mabray, S Cha - Neurosurgery, 2017 - journals.lww.com
Neuroimaging plays an ever evolving role in the diagnosis, treatment planning, and post-
therapy assessment of brain tumors. This review provides an overview of current magnetic …
therapy assessment of brain tumors. This review provides an overview of current magnetic …
Modern brain tumor imaging
MC Mabray, RF Barajas, S Cha - Brain tumor research and …, 2015 - synapse.koreamed.org
The imaging and clinical management of patients with brain tumor continue to evolve over
time and now heavily rely on physiologic imaging in addition to high-resolution structural …
time and now heavily rely on physiologic imaging in addition to high-resolution structural …
Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme
EI Zacharaki, S Wang, S Chawla… - … in Medicine: An …, 2009 - Wiley Online Library
The objective of this study is to investigate the use of pattern classification methods for
distinguishing different types of brain tumors, such as primary gliomas from metastases, and …
distinguishing different types of brain tumors, such as primary gliomas from metastases, and …
Automated glioma grading on conventional MRI images using deep convolutional neural networks
Y Zhuge, H Ning, P Mathen, JY Cheng… - Medical …, 2020 - Wiley Online Library
Purpose Gliomas are the most common primary tumor of the brain and are classified into
grades I‐IV of the World Health Organization (WHO), based on their invasively histological …
grades I‐IV of the World Health Organization (WHO), based on their invasively histological …
Update on brain tumor imaging: from anatomy to physiology
S Cha - American Journal of Neuroradiology, 2006 - Am Soc Neuroradiology
The role of neuroimaging in patients with brain tumors is no longer simply to evaluate
structural abnormality and identify tumor-related complications. By transitioning from a …
structural abnormality and identify tumor-related complications. By transitioning from a …
Bayesian statistics in medicine: a 25 year review
D Ashby - Statistics in medicine, 2006 - Wiley Online Library
This review examines the state of Bayesian thinking as Statistics in Medicine was launched
in 1982, reflecting particularly on its applicability and uses in medical research. It then looks …
in 1982, reflecting particularly on its applicability and uses in medical research. It then looks …
A systematic literature review of magnetic resonance spectroscopy for the characterization of brain tumors
W Hollingworth, LS Medina… - American journal …, 2006 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Proton MR spectroscopy (1H-MR spectroscopy) is a
potentially useful adjunct to anatomic MR imaging in the characterization of brain tumors …
potentially useful adjunct to anatomic MR imaging in the characterization of brain tumors …
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach
Accurate classification of brain tumor subtypes is important for prognosis and treatment. In
this study, we optimized and applied non‐deep learning methods based on hand‐crafted …
this study, we optimized and applied non‐deep learning methods based on hand‐crafted …
Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features
The aim of the present study was to design, implement and evaluate a software system for
discriminating between metastatic and primary brain tumors (gliomas and meningiomas) on …
discriminating between metastatic and primary brain tumors (gliomas and meningiomas) on …
Identification and characterisation of childhood cerebellar tumours by in vivo proton MRS
Abstract 1H MRS has great potential for the clinical investigation of childhood brain tumours,
but the low incidence in, and difficulties of performing trials on, children have hampered …
but the low incidence in, and difficulties of performing trials on, children have hampered …