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Rational and design of prophylactic cranial irradiation (PCI) and brain MRI surveillance versus brain MRI surveillance alone in patients with limited-stage small cell lung cancer achieving complete remission (CR) of tumor after chemoradiotherapy: a multicenter prospective randomized study
BackgroundProphylactic cranial irradiation (PCI) is part of standard care in limited-stage small cell lung cancer (SCLC) at present. As evidence from...
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“sCT-Feasibility” - a feasibility study for deep learning-based MRI-only brain radiotherapy
BackgroundRadiotherapy (RT) is an important treatment modality for patients with brain malignancies. Traditionally, computed tomography (CT) images...
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Mixed methodology in human brain research: integrating MRI and histology
Postmortem magnetic resonance imaging (MRI) can provide a bridge between histological observations and the in vivo anatomy of the human brain....
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Enhancing clinical diagnostics: novel denoising methodology for brain MRI with adaptive masking and modified non-local block
Medical image denoising has been a subject of extensive research, with various techniques employed to enhance image quality and facilitate more...
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Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data
Parkinson’s disease (PD) is the second most common neurodegenerative disease. Accurate PD diagnosis is crucial for effective treatment and prognosis...
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Robust estimation of cortical similarity networks from brain MRI
Structural similarity is a growing focus for magnetic resonance imaging (MRI) of connectomes. Here we propose Morphometric INverse Divergence (MIND),...
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Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation
Whether you are reading, running or slee**, your brain and its fluid environment continuously interacts to distribute nutrients and clear metabolic...
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MRI-based brain age prediction model for children under 3 years old using deep residual network
Early identification and intervention of abnormal brain development individual subjects are of great significance, especially during the earliest and...
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mResU-Net: multi-scale residual U-Net-based brain tumor segmentation from multimodal MRI
Brain tumor segmentation is an important direction in medical image processing, and its main goal is to accurately mark the tumor part in brain MRI....
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CNN-based multi-modal radiomics analysis of pseudo-CT utilization in MRI-only brain stereotactic radiotherapy: a feasibility study
BackgroundPseudo-computed tomography (pCT) quality is a crucial issue in magnetic resonance image (MRI)-only brain stereotactic radiotherapy (SRT),...
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A Review of Brain and Pituitary Gland MRI Findings in Patients with Ataxia and Hypogonadism
The association of cerebellar ataxia and hypogonadism occurs in a heterogeneous group of disorders, caused by different genetic mutations often...
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Mixture-of-experts and semantic-guided network for brain tumor segmentation with missing MRI modalities
Accurate brain tumor segmentation with multi-modal MRI images is crucial, but missing modalities in clinical practice often reduce accuracy. The aim...
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Advanced Magnetic Resonance Imaging (MRI) of Brain
Magnetic Resonance Imaging (MRI) uses the principle of nuclear magnetic resonance to generate high-resolution images of brain. Due to abundance of...
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Distinguishing Patients with MRI-Negative Temporal Lobe Epilepsy from Normal Controls Based on Individual Morphological Brain Network
Temporal Lobe Epilepsy (TLE) is the most common subtype of focal epilepsy and the most refractory to drug treatment. Roughly 30% of patients do not...
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Multimodal tract-based MRI metrics outperform whole brain markers in determining cognitive impact of small vessel disease-related brain injury
In cerebral small vessel disease (cSVD), whole brain MRI markers of cSVD-related brain injury explain limited variance to support individualized...
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Texture Estimation for Abnormal Tissue Segmentation in Brain MRI
This chapter discusses multifractal texture estimation and characterization of brain lesions (necrosis, edema, enhanced tumor, nonenhanced tumor,...
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Brain MRI disease burden and sex differences in cognitive performance of patients with multiple sclerosis
BackgroundAlthough there is evidence that shows worse cognitive functioning in male patients with multiple sclerosis (MS), the role of brain...
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AI-based MRI auto-segmentation of brain tumor in rodents, a multicenter study
Automatic segmentation of rodent brain tumor on magnetic resonance imaging (MRI) may facilitate biomedical research. The current study aims to prove...
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MRI radiomics for brain metastasis sub-pathology classification from non-small cell lung cancer: a machine learning, multicenter study
The objective of this study is to develop a machine-learning model that can accurately distinguish between different histologic types of brain...
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Decentralized Brain Age Estimation Using MRI Data
Recent studies have demonstrated that neuroimaging data can be used to estimate biological brain age, as it captures information about the...
