AIMC Topic: Algorithms

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Conditional Generative Models for Simulation of EMG During Naturalistic Movements.

IEEE transactions on neural networks and learning systems May 2, 2025
Numerical models of electromyography (EMG) signals have provided a huge contribution to our fundamental understanding of human neurophysiology and remain a central pillar of motor neuroscience and the development of human-machine interfaces. However,...
Movement Computer Simulation Motor Neurons Muscle, Skeletal Electromyography Humans Neural Networks, Computer Algorithms
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Convolutional Dynamically Convergent Differential Neural Network for Brain Signal Classification.

IEEE transactions on neural networks and learning systems May 2, 2025
The brain signal classification is the basis for the implementation of brain-computer interfaces (BCIs). However, most existing brain signal classification methods are based on signal processing technology, which require a significant amount of manua...
Brain Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Humans Neural Networks, Computer Algorithms
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Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation.

IEEE transactions on neural networks and learning systems May 2, 2025
Segmentation of complex medical images such as vascular network and pulmonary tracheal network requires segmentation of many tiny targets on each tomographic section of the 3-D medical image volume. Although semantic segmentation of medical images ba...
Humans Neural Networks, Computer Supervised Machine Learning Deep Learning Algorithms Imaging, Three-Dimensional Reproducibility of Results Image Processing, Computer-Assisted
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Video-Based Multiphysiological Disentanglement and Remote Robust Estimation for Respiration.

IEEE transactions on neural networks and learning systems May 2, 2025
Remote noncontact respiratory rate estimation by facial visual information has great research significance, providing valuable priors for health monitoring, clinical diagnosis, and anti-fraud. However, existing studies suffer from disturbances in epi...
Respiratory Rate Facial Expression Respiration Humans Neural Networks, Computer Algorithms Video Recording Face
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Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment.

IEEE transactions on neural networks and learning systems May 2, 2025
Low-dose computed tomography (LDCT) image reconstruction techniques can reduce patient radiation exposure while maintaining acceptable imaging quality. Deep learning (DL) is widely used in this problem, but the performance of testing data (also known...
Radiation Dosage Uncertainty Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Unsupervised Machine Learning Bayes Theorem Humans Algorithms
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ProFun-SOM: Protein Function Prediction for Specific Ontology Based on Multiple Sequence Alignment Reconstruction.

IEEE transactions on neural networks and learning systems May 2, 2025
Protein function prediction is crucial for understanding species evolution, including viral mutations. Gene ontology (GO) is a standardized representation framework for describing protein functions with annotated terms. Each ontology is a specific fu...
Humans Neural Networks, Computer Algorithms Databases, Protein Molecular Sequence Annotation Gene Ontology Deep Learning Computational Biology Proteins Sequence Alignment
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Semi-Supervised Multimodal Representation Learning Through a Global Workspace.

IEEE transactions on neural networks and learning systems May 2, 2025
Recent deep learning models can efficiently combine inputs from different modalities (e.g., images and text) and learn to align their latent representations or to translate signals from one domain to another (as in image captioning or text-to-image g...
Animals Deep Learning Supervised Machine Learning Neural Networks, Computer Algorithms Databases, Factual Humans
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GRACE: Unveiling Gene Regulatory Networks With Causal Mechanistic Graph Neural Networks in Single-Cell RNA-Sequencing Data.

IEEE transactions on neural networks and learning systems May 2, 2025
Reconstructing gene regulatory networks (GRNs) using single-cell RNA sequencing (scRNA-seq) data holds great promise for unraveling cellular fate development and heterogeneity. While numerous machine-learning methods have been proposed to infer GRNs ...
Gene Regulatory Networks Sequence Analysis, RNA Graph Neural Networks Algorithms Single-Cell Analysis Humans Neural Networks, Computer Machine Learning
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Balancing privacy and health integrity: A novel framework for ECG signal analysis in immersive environments.

Computers in biology and medicine May 1, 2025
The widespread use of immersive technologies such as Virtual Reality, Mixed Reality, and Augmented Reality has led to the continuous collection and streaming of vast amounts of sensitive biometric data. Among the biometric signals collected, ECG (ele...
Signal Processing, Computer-Assisted Confidentiality Privacy Humans Algorithms Electrocardiography
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A deep learning algorithm for automated adrenal gland segmentation on non-contrast CT images.

BMC medical imaging May 1, 2025
BACKGROUND: The adrenal glands are small retroperitoneal organs, few reference standards exist for adrenal CT measurements in clinical practice. This study aims to develop a deep learning (DL) model for automated adrenal gland segmentation on non-con...
Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Observer Variation Tomography, X-Ray Computed Young Adult Adrenal Glands Humans Deep Learning Adult Female Algorithms Adolescent Aged Male Middle Aged
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