AIMC Topic: Magnetic Resonance Imaging

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Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate cancer.

Scientific reports Jul 2, 2025
This study aims to investigate the diagnostic value of integrating multi-parametric magnetic resonance imaging (mpMRI) radiomic features with tumor abnormal protein (TAP) and clinical characteristics for diagnosing prostate cancer. A cohort of 109 pa...
Magnetic Resonance Imaging Radiomics Neoplasm Proteins Male Middle Aged Prostate-Specific Antigen Multiparametric Magnetic Resonance Imaging Humans Prostatic Neoplasms Machine Learning Aged
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Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRI.

Scientific reports Jul 2, 2025
Automated segmentation of pediatric brain tumors (PBTs) can support precise diagnosis and treatment monitoring, but it is still poorly investigated in literature. This study proposes two different Deep Learning approaches for semantic segmentation of...
Deep Learning Child, Preschool Semantics Child Humans Multiparametric Magnetic Resonance Imaging Female Image Processing, Computer-Assisted Brain Neoplasms Glioma Male Magnetic Resonance Imaging
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A novel neuroimaging based early detection framework for alzheimer disease using deep learning.

Scientific reports Jul 2, 2025
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive function, posing a major global health challenge. Despite its rising prevalence, particularly in low and middle-income countries, early diagnosi...
Positron-Emission Tomography Early Diagnosis Neuroimaging Deep Learning Magnetic Resonance Imaging Alzheimer Disease Female Male Diagnosis, Computer-Assisted Humans Brain
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Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation.

Scientific reports Jul 2, 2025
Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data. Existing multimodal fusion models usually perform intra-modal fusion at both shal...
Algorithms Brain Neoplasms Humans Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging
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Multi channel fusion diffusion models for brain tumor MRI data augmentation.

Scientific reports Jul 2, 2025
The early diagnosis of brain tumors is crucial for patient prognosis, and medical imaging techniques such as MRI and CT scans are essential tools for diagnosing brain tumors. However, high-quality medical image data for brain tumors is often scarce a...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Humans Algorithms Brain Neoplasms
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Classifying and diagnosing Alzheimer's disease with deep learning using 6735 brain MRI images.

Scientific reports Jul 2, 2025
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care. Deep convolutional neural networks trained on MRI data can enhance diagnostic precisi...
Magnetic Resonance Imaging Alzheimer Disease Male Deep Learning Image Processing, Computer-Assisted Brain Female Aged Humans Neural Networks, Computer
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Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging.

Scientific reports Jul 2, 2025
Early diagnosis of Neurological Disorders (ND) such as Alzheimer's disease (AD) and Brain Tumors (BT) can be highly challenging since these diseases cause minor changes in the brain's anatomy. Magnetic Resonance Imaging (MRI) is a vital tool for diag...
Early Diagnosis Nervous System Diseases ROC Curve Magnetic Resonance Imaging Alzheimer Disease Humans Neural Networks, Computer Machine Learning Deep Learning
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A multi-modal graph-based framework for Alzheimer's disease detection.

Scientific reports Jul 2, 2025
We propose a compositional graph-based Machine Learning (ML) framework for Alzheimer's disease (AD) detection that constructs complex ML predictors from modular components. In our directed computational graph, datasets are represented as nodes [Formu...
Humans Male Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Machine Learning Algorithms Female Alzheimer Disease
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Automated grading of rectocele with an MRI radiomics model.

Scientific reports Jul 2, 2025
To develop an automated grading model for rectocele (RC) based on radiomics and evaluate its efficacy. This study retrospectively analyzed a total of 9,392 magnetic resonance imaging (MRI) images obtained from 222 patients who underwent dynamic magne...
Magnetic Resonance Imaging Rectocele Defecography Retrospective Studies Adult ROC Curve Humans Female Radiomics Machine Learning Aged Male Support Vector Machine Middle Aged Severity of Illness Index
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MRI based early Temporal Lobe Epilepsy detection using DGWO based optimized HAETN and Fuzzy-AAL Segmentation Framework (FASF).

PloS one Jul 2, 2025
This work aims to promote early and accurate diagnosis of Temporal Lobe Epilepsy (TLE) by developing state-of-the-art deep learning techniques, with the goal of minimizing the consequences of epilepsy on individuals and society. Current approaches fo...
Humans Algorithms Female Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Epilepsy, Temporal Lobe Adult Male Deep Learning
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