AIMC Topic: Humans

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Attention-Guided 3D CNN With Lesion Feature Selection for Early Alzheimer's Disease Prediction Using Longitudinal sMRI.

IEEE journal of biomedical and health informatics Jan 7, 2025
Predicting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is critical for early intervention. Towards this end, various deep learning models have been applied in this domain, typically relying on structural magnetic ...
Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Longitudinal Studies Aged, 80 and over Male Deep Learning Cognitive Dysfunction Humans Brain Disease Progression Neural Networks, Computer Female Aged
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Interpretable Multi-Branch Architecture for Spatiotemporal Neural Networks and Its Application in Seizure Prediction.

IEEE journal of biomedical and health informatics Jan 7, 2025
Currently, spatiotemporal convolutional neural networks (CNNs) for electroencephalogram (EEG) signals have emerged as promising tools for seizure prediction (SP), which explore the spatiotemporal biomarkers in an epileptic brain. Generally, these CNN...
Electroencephalography Seizures Signal Processing, Computer-Assisted Adult Male Brain Female Young Adult Humans Neural Networks, Computer
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TKR-FSOD: Fetal Anatomical Structure Few-Shot Detection Utilizing Topological Knowledge Reasoning.

IEEE journal of biomedical and health informatics Jan 7, 2025
Fetal multi-anatomical structure detection in ultrasound (US) images can clearly present the relationship and influence between anatomical structures, providing more comprehensive information about fetal organ structures and assisting sonographers in...
Humans Algorithms Female Ultrasonography, Prenatal Pregnancy Fetus Deep Learning Image Interpretation, Computer-Assisted
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Hierarchical Graph Transformer With Contrastive Learning for Gene Regulatory Network Inference.

IEEE journal of biomedical and health informatics Jan 7, 2025
Gene regulatory networks (GRNs) are crucial for understanding gene regulation and cellular processes. Inferring GRNs helps uncover regulatory pathways, shedding light on the regulation and development of cellular processes. With the rise of high-thro...
Machine Learning Algorithms Computational Biology Gene Regulatory Networks Humans Neural Networks, Computer
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Self-Supervised Molecular Representation Learning With Topology and Geometry.

IEEE journal of biomedical and health informatics Jan 7, 2025
Molecular representation learning is of great importance for drug molecular analysis. The development in molecular representation learning has demonstrated great promise through self-supervised pre-training strategy to overcome the scarcity of labele...
Supervised Machine Learning Algorithms Models, Molecular Humans
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Automated Quantification of HER2 Amplification Levels Using Deep Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
HER2 assessment is necessary for patient selection in anti-HER2 targeted treatment. However, manual assessment of HER2 amplification is time-costly, labor-intensive, highly subjective and error-prone. Challenges in HER2 analysis in fluorescence in si...
Receptor, ErbB-2 Breast Neoplasms Deep Learning Image Interpretation, Computer-Assisted Gene Amplification In Situ Hybridization, Fluorescence Humans Female
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MiRS-HF: A Novel Deep Learning Predictor for Cancer Classification and miRNA Expression Patterns.

IEEE journal of biomedical and health informatics Jan 7, 2025
Cancer classification and biomarker identification are crucial for guiding personalized treatment. To make effective use of miRNA associations and expression data, we have developed a deep learning model for cancer classification and biomarker identi...
Algorithms Biomarkers, Tumor Neoplasms Humans Computational Biology MicroRNAs Gene Expression Profiling Deep Learning
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A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification.

IEEE journal of biomedical and health informatics Jan 7, 2025
Domain adaptation has demonstrated success in classification of multi-center autism spectrum disorder (ASD). However, current domain adaptation methods primarily focus on classifying data in a single target domain with the assistance of one or multip...
Humans Child Image Interpretation, Computer-Assisted Brain Female Machine Learning Male Autism Spectrum Disorder
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TBE-Net: A Deep Network Based on Tree-Like Branch Encoder for Medical Image Segmentation.

IEEE journal of biomedical and health informatics Jan 7, 2025
In recent years, encoder-decoder-based network structures have been widely used in designing medical image segmentation models. However, these methods still face some limitations: 1) The network's feature extraction capability is limited, primarily d...
Image Processing, Computer-Assisted Algorithms Deep Learning Neural Networks, Computer COVID-19 Humans
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Acoustic COVID-19 Detection Using Multiple Instance Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
In the COVID-19 pandemic, a rigorous testing scheme was crucial. However, tests can be time-consuming and expensive. A machine learning-based diagnostic tool for audio recordings could enable widespread testing at low costs. In order to achieve compa...
Humans SARS-CoV-2 Signal Processing, Computer-Assisted Machine Learning Multiple-Instance Learning Algorithms COVID-19 Algorithms
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