AIMC Topic: Uncertainty

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Uncertainty Global Contrastive Learning Framework for Semi-Supervised Medical Image Segmentation.

IEEE journal of biomedical and health informatics Jan 7, 2025
In semi-supervised medical image segmentation, the issue of fuzzy boundaries for segmented objects arises. With limited labeled data and the interaction of boundaries from different segmented objects, classifying segmentation boundaries becomes chall...
Algorithms Databases, Factual Image Processing, Computer-Assisted Humans Supervised Machine Learning Fuzzy Logic Image Interpretation, Computer-Assisted Diagnostic Imaging Uncertainty
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Uncertainty modeling for inductive knowledge graph embedding.

Neural networks : the official journal of the International Neural Network Society Jan 6, 2025
In the process of refining Knowledge Graphs (KGs), new entities emerge, and old entities evolve, which usually updates their attribute information and neighborhood structures. This results in a distribution shift problem for entity features in the em...
Humans Normal Distribution Uncertainty Machine Learning Neural Networks, Computer Algorithms
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DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 4, 2025
In this study, we developed an Evidential Ensemble Neural Network based on Deep learning and Diffusion MRI, namely DDEvENet, for anatomical brain parcellation. The key innovation of DDEvENet is the design of an evidential deep learning framework to q...
Neural Networks, Computer Brain Deep Learning Brain Diseases Adult Diffusion Magnetic Resonance Imaging Humans Ensemble Learning Uncertainty
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AI and Uncertain Motivation: Hidden allies that impact EFL argumentative essays using the Toulmin Model.

Acta psychologica Jan 3, 2025
This study investigates the combined impact of artificial intelligence (AI) tools and Uncertain Motivation (UM) strategies on the argumentative writing performance of Saudi EFL learners, using the Toulmin Model. Sixty Saudi EFL students participated ...
Motivation Uncertainty Students Saudi Arabia Learning Female Writing Adult Male Humans Young Adult Artificial Intelligence
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Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images.

Scientific reports Jan 2, 2025
Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. However, current approaches were either applied only to 2D cross-sectional images, addre...
Image Processing, Computer-Assisted Muscle, Skeletal Hip Deep Learning ROC Curve Uncertainty Tomography, X-Ray Computed Female Male Middle Aged Humans Aged
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Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging.

IEEE transactions on medical imaging Jan 2, 2025
Data uncertainties, such as sensor noise, occlusions or limitations in the acquisition method can introduce irreducible ambiguities in images, which result in varying, yet plausible, semantic hypotheses. In Machine Learning, this ambiguity is commonl...
Uncertainty Models, Statistical Diagnostic Imaging Humans Machine Learning Brain Image Processing, Computer-Assisted Algorithms
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A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning.

IEEE transactions on medical imaging Jan 2, 2025
Chest radiography, commonly known as CXR, is frequently utilized in clinical settings to detect cardiopulmonary conditions. However, even seasoned radiologists might offer different evaluations regarding the seriousness and uncertainty associated wit...
Humans Databases, Factual Benchmarking Radiography, Thoracic Uncertainty Deep Learning Radiographic Image Interpretation, Computer-Assisted Lung
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Unveiling pathology-related predictive uncertainty of glomerular lesion recognition using prototype learning.

Journal of biomedical informatics Dec 31, 2024
OBJECTIVE: Recognizing glomerular lesions is essential in diagnosing chronic kidney disease. However, deep learning faces challenges due to the lesion heterogeneity, superposition, progression, and tissue incompleteness, leading to uncertainty in mod...
Uncertainty Algorithms Deep Learning Renal Insufficiency, Chronic Humans Kidney Glomerulus
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H control for fractional order neural networks with uncertainties subject to deception attacks via Improved memory-event-triggered scheme and Its application.

Neural networks : the official journal of the International Neural Network Society Dec 28, 2024
The article discusses an improved memory-event-triggered strategy for H control class of fractional-order neural networks (FONNs) with uncertainties, which are vulnerable to deception attacks. The system under consideration is simultaneously influenc...
Memory Algorithms Deception Uncertainty Humans Computer Security Neural Networks, Computer
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Neural network-based dynamic target enclosing control for uncertain nonlinear multi-agent systems over signed networks.

Neural networks : the official journal of the International Neural Network Society Dec 20, 2024
Neural networks have significant advantages in the estimation of uncertainty dynamics, which can afford highly accurate prediction outcomes and enhance control robustness. With this in mind, this study presents a neural network-based method to invest...
Neural Networks, Computer Uncertainty Computer Simulation Nonlinear Dynamics Algorithms
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