AIMC Topic: Magnetic Resonance Imaging

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A fine-tuned convolutional neural network model for accurate Alzheimer's disease classification.

Scientific reports Apr 4, 2025
Alzheimer's disease (AD) is one of the primary causes of dementia in the older population, affecting memories, cognitive levels, and the ability to accomplish simple activities gradually. Timely intervention and efficient control of the disease prove...
Humans Convolutional Neural Networks Magnetic Resonance Imaging Alzheimer Disease Neural Networks, Computer Machine Learning Deep Learning
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A semantic segmentation model for automatic precise identification of pituitary microadenomas with preoperative MRI.

Neuroradiology Apr 4, 2025
PURPOSE: Magnetic resonance imaging (MRI) is an essential technique for diagnosing pituitary adenomas; however, it is also challenging for neurosurgeons to use it to precisely identify some types of microadenomas. A novel neural network model was dev...
Semantics Humans Preoperative Care Neural Networks, Computer Female Middle Aged Aged Pituitary Neoplasms Contrast Media Adult Adenoma Magnetic Resonance Imaging Male Image Interpretation, Computer-Assisted
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Towards clinical implementation of automated segmentation of vestibular schwannomas: a reliability study comparing AI and human performance.

Neuroradiology Apr 4, 2025
PURPOSE: To evaluate the clinimetric reliability of automated vestibular schwannoma (VS) segmentations by a comparison with human inter-observer variability on T1-weighted contrast-enhanced MRI scans.
Artificial Intelligence Retrospective Studies Observer Variation Female Neuroma, Acoustic Humans Male Reproducibility of Results Magnetic Resonance Imaging Middle Aged Tumor Burden Aged Contrast Media Image Interpretation, Computer-Assisted Adult
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SFM-Net: Semantic Feature-Based Multi-Stage Network for Unsupervised Image Registration.

IEEE journal of biomedical and health informatics Apr 4, 2025
It is difficult for general registration methods to establish the fine correspondence between images with complex anatomical structures. To overcome the above problem, this work presents SFM-Net, an unsupervised multi-stage semantic feature-based net...
Liver Unsupervised Machine Learning Semantics Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Brain
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CorrMorph: Unsupervised Deformable Brain MRI Registration Based on Correlation Mining.

IEEE journal of biomedical and health informatics Apr 4, 2025
Deformable image registration, as a fundamental prerequisite for many medical image analysis tasks, has received considerable attention. However, existing methods suffer from two key issues: 1) single-stream methods that stack moving and fixed images...
Unsupervised Machine Learning Humans Algorithms Brain Adult Image Processing, Computer-Assisted Magnetic Resonance Imaging
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LGG-NeXt: A Next Generation CNN and Transformer Hybrid Model for the Diagnosis of Alzheimer's Disease Using 2D Structural MRI.

IEEE journal of biomedical and health informatics Apr 4, 2025
Incurable Alzheimer's disease (AD) plagues many elderly people and families. It is important to accurately diagnose and predict it at an early stage. However, the existing methods have shortcomings, such as inability to learn local and global informa...
Algorithms Brain Aged Humans Neural Networks, Computer Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted
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Self-Supervised Multi-Scale Multi-Modal Graph Pool Transformer for Sellar Region Tumor Diagnosis.

IEEE journal of biomedical and health informatics Apr 4, 2025
The sellar region tumor is a brain tumor that only exists in the brain sellar, which affects the central nervous system. The early diagnosis of the sellar region tumor subtypes helps clinicians better understand the best treatment and recovery of pat...
Humans Algorithms Brain Neoplasms Image Interpretation, Computer-Assisted Sella Turcica Magnetic Resonance Imaging Pituitary Neoplasms Supervised Machine Learning
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Robust Sensory Information Reconstruction and Classification With Augmented Spikes.

IEEE transactions on neural networks and learning systems Apr 4, 2025
Sensory information recognition is primarily processed through the ventral and dorsal visual pathways in the primate brain visual system, which exhibits layered feature representations bearing a strong resemblance to convolutional neural networks (CN...
Pattern Recognition, Automated Neural Networks, Computer Visual Pathways Algorithms Animals Humans Brain Magnetic Resonance Imaging Neurons
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Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression.

IEEE transactions on neural networks and learning systems Apr 4, 2025
Alzheimer's disease (AD) is a devastating neurodegenerative condition that precedes progressive and irreversible dementia; thus, predicting its progression over time is vital for clinical diagnosis and treatment. For this, numerous studies have imple...
Neural Networks, Computer Algorithms Brain Humans Disease Progression Magnetic Resonance Imaging Female Deep Learning Alzheimer Disease Aged Male
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Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16.

Cancer biomarkers : section A of Disease markers Apr 4, 2025
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for the development of an automated cancer detection system, particularly for MRI images. By leveraging deep learning and image processing techniques, we a...
Magnetic Resonance Imaging Deep Learning Humans Image Interpretation, Computer-Assisted Convolutional Neural Networks Neural Networks, Computer Brain Neoplasms Image Processing, Computer-Assisted
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