AIMC Topic: Algorithms

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Multi-Loss Disentangled Generative-Discriminative Learning for Multimodal Representation in Schizophrenia.

IEEE journal of biomedical and health informatics Nov 6, 2024
Schizophrenia (SCZ) is a multifactorial mental illness, thus it will be beneficial for exploring this disease using multimodal data, including functional magnetic resonance imaging (fMRI), genes, and the gut microbiome. Previous studies reported comb...
Male Gastrointestinal Microbiome Magnetic Resonance Imaging Female Young Adult Adult Multimodal Imaging Schizophrenia Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Brain
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Integrating Smart Computility for Subflow Orchestration in Remote Virtual Services.

IEEE journal of biomedical and health informatics Nov 6, 2024
The burgeoning domain of the metaverse has sparked significant interest from a diverse array of industries, including healthcare services. However, the metaverse and its associated applications present various challenges to existing networks. First, ...
Humans Machine Learning Algorithms Telemedicine Computer Communication Networks
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Specificity-Aware Federated Learning With Dynamic Feature Fusion Network for Imbalanced Medical Image Classification.

IEEE journal of biomedical and health informatics Nov 6, 2024
Recently, federated learning has become a powerful technique for medical image classification due to its ability to utilize datasets from multiple clinical clients while satisfying privacy constraints. However, there are still some obstacles in feder...
Databases, Factual Image Processing, Computer-Assisted Humans Diagnostic Imaging Image Interpretation, Computer-Assisted Machine Learning Algorithms
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SFWN: A Novel Semi-Supervised Feature Weighted Neural Network for Gene Data Feature Learning and Mining With Graph Modeling.

IEEE journal of biomedical and health informatics Nov 6, 2024
Gene expression data can serve for analyzing the genes with changed expressions, the correlation between genes and the influence of different circumstance on gene activities. However, labeling a large number of gene expression data is laborious and t...
Databases, Genetic Supervised Machine Learning Data Mining Algorithms Gene Expression Profiling Computational Biology Humans Neural Networks, Computer
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Self-Supervised Medical Image Denoising Based on WISTA-Net for Human Healthcare in Metaverse.

IEEE journal of biomedical and health informatics Nov 6, 2024
Medical image processing plays an important role in the interaction of real world and metaverse for healthcare. Self-supervised denoising based on sparse coding methods, without any prerequisite on large-scale training samples, has been attracting ex...
Deep Learning Image Processing, Computer-Assisted Signal-To-Noise Ratio Humans Neural Networks, Computer Algorithms
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Few-shot learning for inference in medical imaging with subspace feature representations.

PloS one Nov 6, 2024
Unlike in the field of visual scene recognition, where tremendous advances have taken place due to the availability of very large datasets to train deep neural networks, inference from medical images is often hampered by the fact that only small amou...
Principal Component Analysis Algorithms Diagnostic Imaging Deep Learning Humans Pattern Recognition, Automated Image Processing, Computer-Assisted Neural Networks, Computer
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Lower Limb Torque Prediction for Sit-To-Walk Strategies Using Long Short-Term Memory Neural Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 6, 2024
Joint torque prediction is crucial when investigating biomechanics, evaluating treatments, and designing powered assistive devices. Controllers in assistive technology require reference torque trajectories to set the level of assistance for a patient...
Sitting Position Adult Humans Self-Help Devices Biomechanical Phenomena Walking Neural Networks, Computer Male Female Torque Algorithms Hip Joint Aged Middle Aged Young Adult Lower Extremity Knee Joint
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Minimizing prostate diffusion weighted MRI examination time through deep learning reconstruction.

Clinical imaging Nov 5, 2024
PURPOSE: To study the diagnostic image quality of high b-value diffusion weighted images (DWI) derived from standard and variably reduced datasets reconstructed with a commercially available deep learning reconstruction (DLR) algorithm.
Aged Male Middle Aged Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms Diffusion Magnetic Resonance Imaging Humans Algorithms Retrospective Studies Prostate Image Interpretation, Computer-Assisted Signal-To-Noise Ratio
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AmbiBias Contrast: Enhancing debiasing networks via disentangled space from ambiguity-bias clusters.

Neural networks : the official journal of the International Neural Network Society Nov 5, 2024
The goal of debiasing in classification tasks is to train models to be less sensitive to correlations between a sample's target attribution and periodically occurring contextual attributes to achieve accurate classification. A prevalent method involv...
Machine Learning Humans Algorithms Neural Networks, Computer Cluster Analysis Bias
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A generalised computer vision model for improved glaucoma screening using fundus images.

Eye (London, England) Nov 5, 2024
IMPORTANCE: Worldwide, glaucoma is a leading cause of irreversible blindness. Timely detection is paramount yet challenging, particularly in resource-limited settings. A novel, computer vision-based model for glaucoma screening using fundus images co...
ROC Curve Fundus Oculi Reproducibility of Results Sensitivity and Specificity Deep Learning Algorithms Databases, Factual Humans Glaucoma
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