The value of magnetic resonance spectroscopy and diffusion tensor imaging in characterization of gliomas growth patterns and treatment efficiency

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.net/journal/jbise
E-mail: [email protected]

Citations

"The value of magnetic resonance spectroscopy and diffusion tensor imaging in characterization of gliomas growth patterns and treatment efficiency"
written by Anvita Bieza, Gaida Krumina,
published by Journal of Biomedical Science and Engineering, Vol.6 No.5, 2013

has been cited by the following article(s):

[1]	Exploring the power of deep learning: Fine-tuned vision transformer for accurate and efficient brain tumor detection in mri scans
	Diagnostics, 2023

[2]	Neural Fiber Integrity in High-Versus Low-Grade Glioma using Probabilistic Fiber Tracking
	2020

[3]	Integration of three-dimensional magnetic resonance imaging spectroscopy with the Leksell GammaPlan radiosurgical planning station for the treatment of …
	Cureus, 2019

[4]	Integration of Three-dimensional Magnetic Resonance Imaging Spectroscopy with the Leksell GammaPlan Radiosurgical Planning Station for the Treatment …
	2019

[5]	Quantitative magnetic resonance imaging and radiogenomic biomarkers for gliomas characterisation: a systematic review
	2018

[6]	Quantification and visualization of lipid landscape in glioma using in-and opposed-phase imaging
	NeuroImage: Clinical, 2018

[7]	BJR UNCORRECTED PROOFS
	2018

[8]	Quantitative magnetic resonance imaging and radiogenomic biomarkers for glioma characterisation: a systematic review
	Annuar… - The British journal of …, 2018

[9]	Prediction of Neurological Impairment in Cervical Spondylotic Myelopathy using a Combination of Diffusion MRI and Proton MR Spectroscopy
	PloS one, 2015

[1]	ViT-BT: Improving MRI Brain Tumor Classification Using Vision Transformer with Transfer Learning International Journal of Soft Computing and Engineering, 2024 DOI:10.35940/ijsce.D3644.14040924

[2]	Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans Diagnostics, 2023 DOI:10.3390/diagnostics13122094

[3]	Neural Fiber Integrity in High- Versus Low-Grade Glioma using Probabilistic Fiber Tracking Academic Radiology, 2021 DOI:10.1016/j.acra.2020.09.007

[4]	Quantitative magnetic resonance imaging and radiogenomic biomarkers for glioma characterisation: a systematic review The British Journal of Radiology, 2018 DOI:10.1259/bjr.20170930

[5]	Quantification and visualization of lipid landscape in glioma using in -and opposed-phase imaging NeuroImage: Clinical, 2018 DOI:10.1016/j.nicl.2018.08.003

[6]	Prediction of Neurological Impairment in Cervical Spondylotic Myelopathy using a Combination of Diffusion MRI and Proton MR Spectroscopy PLOS ONE, 2015 DOI:10.1371/journal.pone.0139451

Top