ArticleTherapeutic advances in neurological disorders2019
Radiomics: a novel feature extraction method for brain neuron degeneration disease using
Article in Therapeutic advances in neurological disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.
- Pooled it
- A study on 18F-FDG PET/CT imaging assessment of the anti-aging efficacy of BMMSCs in the macaque brain.Stem cells translational medicine · 2026Article
- Meta analysis of glucose metabolism across Alzheimer's, Parkinson's and ALS Reveals emergence of adaptive brain glucometabolic responses and associated neurological functional profiles.medRxiv : the preprint server for health sciences · 2026Article
- Brain ultrasound radiomics identify textural differences in basal ganglia and white matter between full term newborns HIV-exposed uninfected and HIV-unexposed in Botswana.Early human development · 2025Observational
- Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis.Statistics in medicine · 2025Article
- A mini review of transforming dementia care in China with data-driven insights: overcoming diagnostic and time-delayed barriers.Frontiers in aging neuroscience · 2025Review
- Leveraging hand-crafted radiomics on multicenter FLAIR MRI for predicting disability worsening in people with multiple sclerosis.Frontiers in neuroscience · 2025Article
- Analysis of cognitive dysfunction in Parkinson's disease using voxel based morphometry and radiomics.Cognitive processing · 2024Article
- Beyond Macrostructure: Is There a Role for Radiomics Analysis in Neuroimaging ?Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Based on Tau PET Radiomics Analysis for the Classification of Alzheimer's Disease and Mild Cognitive Impairment.Brain sciences · 2023Article
- Radiomics insight into the neurodegenerative "Frontiers in nuclear medicine · 2023Review
- Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism onDiagnostics (Basel, Switzerland) · 2022Article
- Combining PET with MRI to improve predictions of progression from mild cognitive impairment to Alzheimer's disease: an exploratory radiomic analysis study.Annals of translational medicine · 2022Article
- Radiomics Analysis of Brain [Diagnostics (Basel, Switzerland) · 2022Article
- WTD-PSD: Presentation of Novel Feature Extraction Method Based on Discrete Wavelet Transformation and Time-Dependent Power Spectrum Descriptors for Diagnosis of Alzheimer's Disease.Computational intelligence and neuroscience · 2022Article
- Surface values, volumetric measurements and radiomics of structural MRI for the diagnosis and subtyping of attention-deficit/hyperactivity disorder.The European journal of neuroscience · 2021Article
- Radiomics approach in the neurodegenerative brain.Aging clinical and experimental research · 2021Article
- Correlation of [EJNMMI research · 2021Article
- Radiomics-based classification models for HBV-related cirrhotic patients with covert hepatic encephalopathy.Brain and behavior · 2021Article
- Exploratory Radiomic Analysis of Conventional vs. Quantitative Brain MRI: Toward Automatic Diagnosis of Early Multiple Sclerosis.Frontiers in neuroscience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAlzheimer's disease (AD) is the most common form of progressive and irreversible dementia, and accurate diagnosis of AD at its prodromal stage is clinically important. Currently, computer-aided diagnosis of AD and mild cognitive impairment (MCI) using
methodsIn this study,
resultsAs a result, we identified brain regions which were mainly distributed in the temporal, occipital and frontal areas as ROIs. A total of 168 radiomic features of AD were stable (alpha > 0.8). The classification experiment led to maximal accuracies of 91.5%, 83.1% and 85.9% for classifying AD
conclusionThe research in this paper proved that the novel approach based on high-order radiomic features extracted from
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.