AIMC Topic: Algorithms

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A highly generalized federated learning algorithm for brain tumor segmentation.

Scientific reports Jul 1, 2025
Brain image segmentation plays a pivotal role in modern healthcare by enabling precise diagnosis and treatment planning. Federated Learning (FL) enables collaborative model training across institutions while safeguarding sensitive patient data. The i...
Artificial Intelligence Machine Learning Algorithms Brain Neoplasms Humans Federated Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Anterior cruciate ligament tear detection based on Res2Net modified by improved Lévy flight distribution.

Scientific reports Jul 1, 2025
Anterior Cruciate Ligament (ACL) tears are common in sports and can provide noteworthy health issues. Therefore, accurately diagnosing of tears is important for the early and proper treatment. However, traditional diagnostic methods, such as clinical...
Anterior Cruciate Ligament Magnetic Resonance Imaging Anterior Cruciate Ligament Injuries Neural Networks, Computer Humans Algorithms Female Male Deep Learning
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Experimentally profiling dielectric properties of Escherichia coli and Staphylococcus aureus by movement velocity and force.

Scientific reports Jul 1, 2025
The gradual research in integrating artificial intelligence in the Dielectrophoresis system is rapid since the evolution of AI in every aspect of technology since the early 2020s. The benefits of AI integration into DEP systems include improving posi...
Escherichia coli Staphylococcus aureus Electrophoresis Movement Algorithms
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Data augmentation of time-series data in human movement biomechanics: A scoping review.

PloS one Jul 1, 2025
BACKGROUND: The integration of machine learning and deep learning methodologies has transformed data analytics in biomechanics. However, the field faces challenges such as limited large-scale data sets, high data acquisition costs, and restricted par...
Algorithms Biomechanical Phenomena Humans Machine Learning Deep Learning Movement
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BHGNN-RT: Capturing bidirectionality and network heterogeneity in graphs.

PloS one Jul 1, 2025
Graph neural networks (GNNs) have shown great promise for representation learning on complex graph-structured data, but existing models often fall short when applied to directed heterogeneous graphs. In this study, we proposed a novel embedding metho...
Humans Neural Networks, Computer Algorithms Computer Graphics
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GCN-based unsupervised community detection with refined structure centers and expanded pseudo-labeled set.

PloS one Jul 1, 2025
Community detection is a classical problem for analyzing the structures of various graph-structured data. An efficient approach is to expand the community structure from a few structure centers based on the graph topology. Considering them as pseudo-...
Neural Networks, Computer Algorithms Humans
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Usability of machine learning algorithms based on electronic health records for the prediction of acute kidney injury and transition to acute kidney disease: A proof of concept study.

PloS one Jul 1, 2025
BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are frequent complications of hospitalization, resulting in reduced outcomes and increased cost burden. However, these conditions are only sometimes recognized and promptly treated....
Female Hospitalization Humans Acute Kidney Injury Machine Learning Male Electronic Health Records Aged Algorithms Adult Middle Aged Retrospective Studies Proof of Concept Study
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A fast (CNN + MCWS-transformer) based architecture for protein function prediction.

Statistical applications in genetics and molecular biology Jul 1, 2025
The transformer model for sequence mining has brought a paradigmatic shift to many domains, including biological sequence mining. However, transformers suffer from quadratic complexity, i.e., O( ), where is the sequence length, which affects the tra...
Databases, Protein Neural Networks, Computer Computational Biology Sequence Analysis, Protein Algorithms Proteins
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Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation.

JMIR medical informatics Jun 30, 2025
BACKGROUND: Evidence-based medicine combines scientific research, clinical expertise, and patient preferences to enhance the patient outcomes and improve health care quality. Clinical data are crucial in aligning medical decisions with evidence-based...
Reproducibility of Results Data Accuracy Machine Learning Algorithms Humans Metadata Artificial Intelligence
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Revisiting Euclidean alignment for transfer learning in EEG-based brain-computer interfaces.

Journal of neural engineering Jun 30, 2025
Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EEG-based brain-computer interfaces (BCIs) usually need subject-specific calibration to tailor the decoding algorithm for each new subject, which is tim...
Transfer, Psychology Electroencephalography Machine Learning Humans Brain-Computer Interfaces Algorithms
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