AIMC Topic: Brain

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CGNet: A Correlation-Guided Registration Network for Unsupervised Deformable Image Registration.

IEEE transactions on medical imaging Mar 17, 2025
Deformable medical image registration plays a significant role in medical image analysis. With the advancement of deep neural networks, learning-based deformable registration methods have made great strides due to their ability to perform fast end-to...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Unsupervised Machine Learning Algorithms Databases, Factual Brain Humans Neural Networks, Computer
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A Learnable Prior Improves Inverse Tumor Growth Modeling.

IEEE transactions on medical imaging Mar 17, 2025
Biophysical modeling, particularly involving partial differential equations (PDEs), offers significant potential for tailoring disease treatment protocols to individual patients. However, the inverse problem-solving aspect of these models presents a ...
Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Algorithms Brain Magnetic Resonance Imaging Models, Biological
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Toward Integrating Federated Learning With Split Learning via Spatio-Temporal Graph Framework for Brain Disease Prediction.

IEEE transactions on medical imaging Mar 17, 2025
Functional Magnetic Resonance Imaging (fMRI) is used for extracting blood oxygen signals from brain regions to map brain functional connectivity for brain disease prediction. Despite its effectiveness, fMRI has not been widely used: on the one hand, ...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Diseases Federated Learning Machine Learning Humans Algorithms Brain
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Exploiting adaptive neuro-fuzzy inference systems for cognitive patterns in multimodal brain signal analysis.

Scientific reports Mar 16, 2025
The analysis of cognitive patterns through brain signals offers critical insights into human cognition, including perception, attention, memory, and decision-making. However, accurately classifying these signals remains a challenge due to their inher...
Cognition Fuzzy Logic Principal Component Analysis Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Brain Humans
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MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations.

Medical image analysis Mar 15, 2025
Geometric transformations have been widely used to augment the size of training images. Existing methods often assume a unimodal distribution of the underlying transformations between images, which limits their power when data with multimodal distrib...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Deep Learning Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Algorithms Brain
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Quantitative multislice and jointly optimized rapid CEST for in vivo whole-brain imaging.

Magnetic resonance in medicine Mar 14, 2025
PURPOSE: To develop a quantitative multislice chemical exchange saturation transfer (CEST) schedule optimization and pulse sequence that reduces the loss of sensitivity inherent to multislice sequences.
Reproducibility of Results Adult Male Brain Computer Simulation Female Humans Healthy Volunteers Algorithms Gray Matter White Matter Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRI.

Medical image analysis Mar 14, 2025
Diffusion MRI (dMRI) is the primary imaging modality used to study brain microstructure in vivo. Reliable and computationally efficient parameter inference for common dMRI biophysical models is a challenging inverse problem, due to factors such as va...
White Matter Humans Diffusion Magnetic Resonance Imaging Deep Learning Connectome Algorithms Uncertainty Image Processing, Computer-Assisted Brain Signal-To-Noise Ratio Computer Simulation
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Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data.

Medical image analysis Mar 13, 2025
The understanding of the convoluted evolution of infant brain networks during the first postnatal year is pivotal for identifying the dynamics of early brain connectivity development. Thanks to the valuable insights into the brain's anatomy, existing...
Magnetic Resonance Imaging Infant, Newborn Connectome Infant Humans Deep Learning Brain
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Dual-pathway EEG model with channel attention for virtual reality motion sickness detection.

Journal of neuroscience methods Mar 12, 2025
BACKGROUND: Motion sickness has been a key factor affecting user experience in Virtual Reality (VR) and limiting the development of the VR industry. Accurate detection of Virtual Reality Motion Sickness (VRMS) is a prerequisite for solving the proble...
Humans Virtual Reality Electroencephalography Young Adult Neural Networks, Computer Signal Processing, Computer-Assisted Attention Brain Motion Sickness Adult Female Male
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Interpretable deep learning for deconvolutional analysis of neural signals.

Neuron Mar 12, 2025
The widespread adoption of deep learning to model neural activity often relies on "black-box" approaches that lack an interpretable connection between neural activity and network parameters. Here, we propose using algorithm unrolling, a method for in...
Reward Corpus Striatum Thalamus Dopaminergic Neurons Deep Learning Models, Neurological Neurons Algorithms Brain Animals Neural Networks, Computer
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