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。Intraoperative Ultrasonographic Elastography: A Semi-Quantitative Analysis of Brain Tumor Elasticity Patterns and Peritumoral Region
Santiago Cepeda et al.
WORLD NEUROSURGERY (2020)
Machine and deep learning methods for radiomics
Michele Avanzo et al.
MEDICAL PHYSICS (2020)
Utility of preoperative meningioma consistency measurement with magnetic resonance elastography (MRE): a review
Alexander G. Chartrain et al.
NEUROSURGICAL REVIEW (2019)
Accuracy of deep learning to differentiate the histopathological grading of meningiomas on MR images: A preliminary study
Tommaso Banzato et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Subacute Combined Degeneration, Pernicious Anemia and Gastric Neuroendocrine Tumor Occured Simultaneously Caused by Autoimmune Gastritis
Nan Zhang et al.
FRONTIERS IN NEUROSCIENCE (2019)
Comparison of quantitative measurements of central nervous system tumour consistency and the associated preoperative imaging findings
Hiroyuki Masuda et al.
BRITISH JOURNAL OF NEUROSURGERY (2019)
A deep learning radiomics model for preoperative grading in meningioma
Yongbei Zhu et al.
EUROPEAN JOURNAL OF RADIOLOGY (2019)
From Handcrafted to Deep-Learning-Based Cancer Radiomics Challenges and opportunities
Parnian Afshar et al.
IEEE SIGNAL PROCESSING MAGAZINE (2019)
Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study
Gordian Hamerla et al.
MAGNETIC RESONANCE IMAGING (2019)
Machine learning algorithm validation with a limited sample size
Andrius Vabalas et al.
PLOS ONE (2019)
Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging
Yae Won Park et al.
EUROPEAN RADIOLOGY (2019)
Intraoperative Strain Elastosonography in Brain Tumor Surgery
Francesco Prada et al.
OPERATIVE NEUROSURGERY (2019)
Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in Oncology
Reza Forghani et al.
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL (2019)
Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review
Amy Yao et al.
NEUROSURGICAL REVIEW (2018)
LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
Christophe Nioche et al.
CANCER RESEARCH (2018)
Preoperative MRI evaluation of meningioma consistency: A focus on detailed architectures
Warinthorn Phuttharak et al.
CLINICAL NEUROLOGY AND NEUROSURGERY (2018)
Machine learning analyses can differentiate meningioma grade by features on magnetic resonance imaging
Andrew T. Hale et al.
NEUROSURGICAL FOCUS (2018)
Prediction of hard meningiomas: quantitative evaluation based on the magnetic resonance signal intensity
Keita Watanabe et al.
ACTA RADIOLOGICA (2016)
EANO guidelines for the diagnosis and treatment of meningiomas
Roland Goldbrunner et al.
LANCET ONCOLOGY (2016)
Predicting Meningioma Consistency on Preoperative Neuroimaging Studies
Mark S. Shiroishi et al.
NEUROSURGERY CLINICS OF NORTH AMERICA (2016)
Higher-Resolution Magnetic Resonance Elastography in Meningiomas to Determine Intratumoral Consistency
Joshua D. Hughes et al.
NEUROSURGERY (2015)
Prediction of Mechanical Properties and Subjective Consistency of Meningiomas Using T1-T2 Assessment Versus Fractional Anisotropy
Luis Alberto Ortega-Porcayo et al.
WORLD NEUROSURGERY (2015)
Usefulness of the apparent diffusion coefficient (ADC) for predicting the consistency of intracranial meningiomas
Akira Yogi et al.
CLINICAL IMAGING (2014)
A proposed grading system for standardizing tumor consistency of intracranial meningiomas
Gabriel Zada et al.
NEUROSURGICAL FOCUS (2013)
Predictors of meningioma consistency: A study in 243 consecutive cases
Bunpot Sitthinamsuwan et al.
ACTA NEUROCHIRURGICA (2012)
LIVER ELASTICITY IN NASH PATIENTS EVALUATED WITH REAL-TIME ELASTOGRAPHY (RTE)
Antonio Orlacchio et al.
ULTRASOUND IN MEDICINE AND BIOLOGY (2012)
User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability
Paul A. Yushkevich et al.
NEUROIMAGE (2006)
Intra-operative Ultrasound Elastography and Registered Magnetic Resonance Imaging of Brain Tumours: A Feasibility Study
Aabir Chakraborty et al.
ULTRASOUND (2006)
Vibrography during tumor neurosurgery
M Scholz et al.
JOURNAL OF ULTRASOUND IN MEDICINE (2005)
Strain processing of intraoperative ultrasound images of brain tumours: Initial results
T Selbekk et al.
ULTRASOUND IN MEDICINE AND BIOLOGY (2005)
Influence of MRI acquisition protocols and image intensity normalization methods on texture classification
G Collewet et al.
MAGNETIC RESONANCE IMAGING (2004)
Progress in the diagnosis and treatment of patients with meningiomas part I: Diagnostic imaging, preoperative embolization
HH Engelhard
SURGICAL NEUROLOGY (2001)
分享论文
