AIMC Topic: Neural Networks, Computer

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Brain multi modality image inpainting via deep learning based edge region generative adversarial network.

Technology and health care : official journal of the European Society for Engineering and Medicine Dec 25, 2024
A brain tumor (BT) is considered one of the most crucial and deadly diseases in the world, as it affects the central nervous system and its main functions. Headaches, nausea, and balance problems are caused by tumors pressing on nearby brain tissue a...
Deep Learning Algorithms Generative Adversarial Networks Image Processing, Computer-Assisted Brain Brain Neoplasms Humans Neural Networks, Computer Magnetic Resonance Imaging
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Diagnosis of major depressive disorder using a novel interpretable GCN model based on resting state fMRI.

Neuroscience Dec 25, 2024
The diagnosis and analysis of major depressive disorder (MDD) faces some intractable challenges such as dataset limitations and clinical variability. Resting-state functional magnetic resonance imaging (Rs-fMRI) can reflect the fluctuation data of br...
Brain Female Young Adult Humans Neural Networks, Computer Brain Mapping Rest Depressive Disorder, Major Middle Aged Magnetic Resonance Imaging Adult Male
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A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentation.

Computers in biology and medicine Dec 25, 2024
Multimodal data, while being information-rich, contains complementary as well as redundant information. Depending on the target problem some modalities are more informative and thus relevant for decision-making. Identifying the optimal subset of moda...
Magnetic Resonance Imaging Multimodal Imaging Ischemic Stroke Databases, Factual Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Deep Learning-Driven Insights into Enzyme-Substrate Interaction Discovery.

Journal of chemical information and modeling Dec 25, 2024
Enzymes are ubiquitous catalysts with enormous application potential in biomedicine, green chemistry, and biotechnology. However, accurately predicting whether a molecule serves as a substrate for a specific enzyme, especially for novel entities, rem...
Deep Learning Substrate Specificity Enzymes Neural Networks, Computer
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Mortality Prediction in Patients With Breast Cancer by Artificial Neural Network Model and Elastic Net Regression.

Journal of research in health sciences Dec 25, 2024
BACKGROUND: Breast cancer (BC) is the most common cancer in women, and it is important to identify models that can accurately predict mortality in patients with this cancer. The aim of the present study was to use the elastic net regression and artif...
Iran Aged Middle Aged Adult Humans ROC Curve Sensitivity and Specificity Breast Neoplasms Area Under Curve Neural Networks, Computer Cross-Sectional Studies Female
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Epileptic seizure detection in EEG signals via an enhanced hybrid CNN with an integrated attention mechanism.

Mathematical biosciences and engineering : MBE Dec 25, 2024
Epileptic seizures, a prevalent neurological condition, necessitate precise and prompt identification for optimal care. Nevertheless, the intricate characteristics of electroencephalography (EEG) signals, noise, and the want for real-time analysis re...
Sensitivity and Specificity Deep Learning Epilepsy Pattern Recognition, Automated Seizures Electroencephalography Humans Neural Networks, Computer Signal Processing, Computer-Assisted Machine Learning Attention Algorithms
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Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome.

Viruses Dec 25, 2024
JC polyomavirus (JCPyV) establishes a persistent, asymptomatic kidney infection in most of the population. However, JCPyV can reactivate in immunocompromised individuals and cause progressive multifocal leukoencephalopathy (PML), a fatal demyelinatin...
Machine Learning Leukoencephalopathy, Progressive Multifocal Mutation Genome, Viral Polyomavirus Infections JC Virus Humans Neural Networks, Computer
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On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach.

Neural networks : the official journal of the International Neural Network Society Dec 24, 2024
The explainability of Graph Neural Networks (GNNs) is critical to various GNN applications, yet it remains a significant challenge. A convincing explanation should be both necessary and sufficient simultaneously. However, existing GNN explaining appr...
Graph Neural Networks Neural Networks, Computer Algorithms Probability Humans
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Heterophilous distribution propagation for Graph Neural Networks.

Neural networks : the official journal of the International Neural Network Society Dec 24, 2024
Graph Neural Networks (GNNs) have achieved remarkable success in various graph mining tasks by aggregating information from neighborhoods for representation learning. The success relies on the homophily assumption that nearby nodes exhibit similar be...
Humans Algorithms Graph Neural Networks Neural Networks, Computer
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Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning.

Neural networks : the official journal of the International Neural Network Society Dec 24, 2024
The remarkable success of Graph Neural Networks underscores their formidable capacity to assimilate multimodal inputs, markedly enhancing performance across a broad spectrum of domains. In the context of molecular modeling, considerable efforts have ...
Machine Learning Learning Models, Molecular Humans Neural Networks, Computer
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