AIMC Topic: Brain

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BrainForest: Neuromorphic Multiplier-Less Bit-Serial Weight-Memory-Optimized 1024-Tree Brain-State Classification Processor.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
Personalized brain implants have the potential to revolutionize the treatment of neurological disorders and augment cognition. Medical implants that deliver therapeutic stimulation in response to detected seizures have already been deployed for the t...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Models, Neurological Electroencephalography Seizures Humans Neural Networks, Computer Machine Learning Algorithms Brain
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Deformation registration based on reconstruction of brain MRI images with pathologies.

Medical & biological engineering & computing Feb 10, 2025
Deformable registration between brain tumor images and brain atlas has been an important tool to facilitate pathological analysis. However, registration of images with tumors is challenging due to absent correspondences induced by the tumor. Furtherm...
Humans Brain Neoplasms Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Databases, Factual Brain
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Differentiating Functional Connectivity Patterns in ADHD and Autism Among the Young People: A Machine Learning Solution.

Journal of attention disorders Feb 10, 2025
OBJECTIVE: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of i...
Neural Pathways Attention Deficit Disorder with Hyperactivity Female Male Adolescent Child Magnetic Resonance Imaging Autistic Disorder Humans Machine Learning Brain
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Scaling Synthetic Brain Data Generation.

IEEE journal of biomedical and health informatics Feb 10, 2025
The limited availability of diverse, high-quality datasets is a significant challenge in applying deep learning to neuroimaging research. Although synthetic data generation can potentially address this issue, on-the-fly generation is computationally ...
Deep Learning Humans Image Processing, Computer-Assisted Brain Neuroimaging
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Pseudo-HFOs Elimination in iEEG Recordings Using a Robust Residual-Based Dictionary Learning Framework.

IEEE journal of biomedical and health informatics Feb 10, 2025
High-frequency oscillations (HFOs) in intracranial EEG (iEEG) recordings are critical biomarkers for localizing the seizure onset zone (SOZ) in patients with focal refractory epilepsy. Despite their clinical significance, HFO analysis is often compro...
Signal Processing, Computer-Assisted Artifacts Electrocorticography Humans Epilepsies, Partial Brain Adult Machine Learning Female Male Algorithms Young Adult Electroencephalography
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EDSRNet: An Enhanced Decoder Semantic Recovery Network for 2D Medical Image Segmentation.

IEEE journal of biomedical and health informatics Feb 10, 2025
In recent years, with the advancement of medical imaging technology, medical image segmentation has played a key role in assisting diagnosis and treatment planning. Current deep learning-based medical image segmentation methods mainly adopt encoder-d...
Semantics Image Processing, Computer-Assisted Databases, Factual Image Interpretation, Computer-Assisted Brain Humans Deep Learning Algorithms
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Prediction of the Extent of Blood-Brain Barrier Transport Using Machine Learning and Integration into the LeiCNS-PK3.0 Model.

Pharmaceutical research Feb 10, 2025
INTRODUCTION: The unbound brain-to-plasma partition coefficient (K) is an essential parameter for predicting central nervous system (CNS) drug disposition using physiologically-based pharmacokinetic (PBPK) modeling. K values for specific compounds ar...
Brain Blood-Brain Barrier Animals Rats Pharmaceutical Preparations Machine Learning Biological Transport Models, Biological Algorithms Central Nervous System Agents Quantitative Structure-Activity Relationship
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Multiclass Classification Framework of Motor Imagery EEG by Riemannian Geometry Networks.

IEEE journal of biomedical and health informatics Feb 10, 2025
In motor imagery (MI) tasks for brain computer interfaces (BCIs), the spatial covariance matrix (SCM) of electroencephalogram (EEG) signals plays a critical role in accurate classification. Given that SCMs are symmetric positive definite (SPD), Riema...
Brain Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Imagination Humans Neural Networks, Computer Algorithms
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Incremental Classification for High-Dimensional EEG Manifold Representation Using Bidirectional Dimensionality Reduction and Prototype Learning.

IEEE journal of biomedical and health informatics Feb 10, 2025
In brain-computer interface (BCI) systems, symmetric positive definite (SPD) manifold within Riemannian space has been frequently utilized to extract spatial features from electroencephalogram (EEG) signals. However, the intrinsic high dimensionality...
Brain Adult Principal Component Analysis Neural Networks, Computer Machine Learning Algorithms Dimensionality Reduction Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans
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Attention-Based Q-Space Deep Learning Generalized for Accelerated Diffusion Magnetic Resonance Imaging.

IEEE journal of biomedical and health informatics Feb 10, 2025
Diffusion magnetic resonance imaging (dMRI) is a non-invasive method for capturing the microanatomical information of tissues by measuring the diffusion weighted signals along multiple directions, which is widely used in the quantification of microst...
Humans Algorithms Deep Learning Diffusion Magnetic Resonance Imaging Image Processing, Computer-Assisted Connectome Brain Adult Male
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