6 Result(s)
within
Eito Kozawa
Science, Humanities and Social Sciences, multidisciplinary
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Article
Open AccessThree-dimensional convolutional neural network-based classification of chronic kidney disease severity using kidney MRI
A three-dimensional convolutional neural network model was developed to classify the severity of chronic kidney disease (CKD) using magnetic resonance imaging (MRI) Dixon-based T1-weighted in-phase (IP)/oppose...
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Article
Open AccessThree-dimensional magnetic resonance imaging-based statistical shape analysis and machine learning-based prediction of patellofemoral instability
This study performed three-dimensional (3D) magnetic resonance imaging (MRI)-based statistical shape analysis (SSA) by comparing patellofemoral instability (PFI) and normal femur models, and developed a machin...
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Article
Open AccessThe utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network
We developed a 3D convolutional neural network (CNN)-based automatic kidney segmentation method for patients with chronic kidney disease (CKD) using MRI Dixon-based T1-weighted in-phase (IP)/opposed-phase (OP)...
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Article
Open AccessThe utility of texture analysis of kidney MRI for evaluating renal dysfunction with multiclass classification model
We evaluated a multiclass classification model to predict estimated glomerular filtration rate (eGFR) groups in chronic kidney disease (CKD) patients using magnetic resonance imaging (MRI) texture analysis (TA...
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Article
Open AccessComparison of multiparametric magnetic resonance imaging sequences with laboratory parameters for prognosticating renal function in chronic kidney disease
Magnetic resonance imaging (MRI) is playing an increasingly important role in evaluating chronic kidney disease (CKD). It has the potential to be used not only for evaluation of physiological and pathological ...
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Article
Open AccessTexture analysis of muscle MRI: machine learning-based classifications in idiopathic inflammatory myopathies
To develop a machine learning (ML) model that predicts disease groups or autoantibodies in patients with idiopathic inflammatory myopathies (IIMs) using muscle MRI radiomics features. Twenty-two patients with ...
