AIMC Topic: Magnetic Resonance Imaging

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T1-weighted MRI-based brain tumor classification using hybrid deep learning models.

Scientific reports Feb 27, 2025
Health is fundamental to human well-being, with brain health particularly critical for cognitive functions. Magnetic resonance imaging (MRI) serves as a cornerstone in diagnosing brain health issues, providing essential data for healthcare decisions....
Magnetic Resonance Imaging Meningioma Deep Learning Image Processing, Computer-Assisted Glioma Humans Neural Networks, Computer Brain Neoplasms
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Neurofind: using deep learning to make individualised inferences in brain-based disorders.

Translational psychiatry Feb 27, 2025
Within precision psychiatry, there is a growing interest in normative models given their ability to parse heterogeneity. While they are intuitive and informative, the technical expertise and resources required to develop normative models may not be a...
Brain Precision Medicine Female Aged Aged, 80 and over Young Adult Humans Deep Learning Magnetic Resonance Imaging Schizophrenia Adult Male Middle Aged
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Multi-parametric MRI Habitat Radiomics Based on Interpretable Machine Learning for Preoperative Assessment of Microsatellite Instability in Rectal Cancer.

Academic radiology Feb 26, 2025
RATIONALE AND OBJECTIVES: This study constructed an interpretable machine learning model based on multi-parameter MRI sub-region habitat radiomics and clinicopathological features, aiming to preoperatively evaluate the microsatellite instability (MSI...
Adult Humans Radiomics Machine Learning Male Retrospective Studies Rectal Neoplasms Female Middle Aged Image Interpretation, Computer-Assisted Preoperative Care Aged Magnetic Resonance Imaging Multiparametric Magnetic Resonance Imaging Microsatellite Instability
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Post-Mortem imaging biobanks: Building data for reproducibility, standardization, and AI integration.

European journal of radiology Feb 26, 2025
In recent years, post-mortem imaging has advanced with techniques such as Post-Mortem Computed Tomography (PMCT) and Post-Mortem Magnetic Resonance imaging (PMMR). PMCT is particularly useful for assessing skeletal injuries, vascular lesions, and est...
Autopsy Postmortem Imaging Humans Artificial Intelligence Reproducibility of Results Tomography, X-Ray Computed Magnetic Resonance Imaging Biological Specimen Banks
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Artificial intelligence in medical imaging: From task-specific models to large-scale foundation models.

Chinese medical journal Feb 26, 2025
Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging across a variety of modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emi...
Artificial Intelligence Tomography, X-Ray Computed Deep Learning Humans Magnetic Resonance Imaging Diagnostic Imaging Positron-Emission Tomography
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Deep Learning for Lumbar Disc Herniation Diagnosis and Treatment Decision-Making Using Magnetic Resonance Imagings: A Retrospective Study.

World neurosurgery Feb 26, 2025
BACKGROUND: Lumbar disc herniation (LDH) is a common cause of back and leg pain. Diagnosis relies on clinical history, physical exam, and imaging, with magnetic resonance imaging (MRI) being an important reference standard. While artificial intellige...
Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Deep Learning Adult Magnetic Resonance Imaging Male Lumbar Vertebrae Middle Aged Intervertebral Disc Displacement Clinical Decision-Making Female Aged
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CSEPC: a deep learning framework for classifying small-sample multimodal medical image data in Alzheimer's disease.

BMC geriatrics Feb 26, 2025
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder that significantly impacts health care worldwide, particularly among the elderly population. The accurate classification of AD stages is essential for slowing disease progression an...
Multimodal Imaging Alzheimer Disease Disease Progression Deep Learning Magnetic Resonance Imaging Humans Algorithms Brain Aged, 80 and over Male Female Aged
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Enhanced glioma tumor detection and segmentation using modified deep learning with edge fusion and frequency features.

Scientific reports Feb 26, 2025
Computer-aided automatic brain tumor detection is crucial for timely diagnosis and treatment, especially in regions with limited access to medical expertise. However, existing methods often overlook edge pixel information during tumor segmentation, l...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Algorithms Reproducibility of Results Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Glioma Humans
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Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes.

Medical image analysis Feb 25, 2025
Both brain functional connectivity (FC) and structural connectivity (SC) provide distinct neural mechanisms for cognition and neurological disease. In addition, interactions between SC and FC within distributed association regions are related to alte...
Connectome Humans Neural Networks, Computer Brain Magnetic Resonance Imaging
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MRI-Based Meningioma Firmness Classification Using an Adversarial Feature Learning Approach.

Sensors (Basel, Switzerland) Feb 25, 2025
The firmness of meningiomas is a critical factor that impacts the surgical approach recommended for patients. The conventional approaches that couple image processing techniques with radiologists' visual assessments of magnetic resonance imaging (MRI...
Algorithms Magnetic Resonance Imaging Humans Deep Learning Meningioma Neural Networks, Computer Image Processing, Computer-Assisted Meningeal Neoplasms Machine Learning
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