AIMC Topic: Deep Learning

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Amyloid-β Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks.

IEEE transactions on medical imaging Apr 3, 2025
Amyloid- positron emission tomography can reflect the Amyloid- protein deposition in the brain and thus serves as one of the golden standards for Alzheimer's disease (AD) diagnosis. However, its practical cost and high radioactivity hinder its applic...
Deep Learning Magnetic Resonance Imaging Amyloid beta-Peptides Aged Male Large Language Models Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Humans Brain Female
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Exploring Contrastive Pre-Training for Domain Connections in Medical Image Segmentation.

IEEE transactions on medical imaging Apr 3, 2025
Unsupervised domain adaptation (UDA) in medical image segmentation aims to improve the generalization of deep models by alleviating domain gaps caused by inconsistency across equipment, imaging protocols, and patient conditions. However, existing UDA...
Humans Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Unsupervised Machine Learning Brain Deep Learning
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PASS: Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation.

IEEE transactions on medical imaging Apr 3, 2025
Test-time adaptation (TTA) has emerged as a promising paradigm to handle the domain shifts at test time for medical images from different institutions without using extra training data. However, existing TTA solutions for segmentation tasks suffer fr...
Humans Algorithms Brain Deep Learning Image Processing, Computer-Assisted Semantics
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Using deep learning artificial intelligence for sex identification and taxonomy of sand fly species.

PloS one Apr 3, 2025
Sandflies are vectors for several tropical diseases such as leishmaniasis, bartonellosis, and sandfly fever. Moreover, sandflies exhibit species-specificity in transmitting particular pathogen species, with females being responsible for disease trans...
Species Specificity Insect Vectors Phlebotomus Psychodidae Animals Neural Networks, Computer Male Female Deep Learning
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Advancing enterprise risk management with deep learning: A predictive approach using the XGBoost-CNN-BiLSTM model.

PloS one Apr 3, 2025
Enterprise risk management is a key element to ensure the sustainable and steady development of enterprises. However, traditional risk management methods have certain limitations when facing complex market environments and diverse risk events. This s...
Risk Management Boosting Machine Learning Algorithms Neural Networks, Computer Deep Learning Humans
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Adaptive Dual-Axis Style-Based Recalibration Network With Class-Wise Statistics Loss for Imbalanced Medical Image Classification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 3, 2025
Salient and small lesions (e.g., microaneurysms on fundus) both play significant roles in real-world disease diagnosis under medical image examinations. Although deep neural networks (DNNs) have achieved promising medical image classification perform...
Calibration Humans Image Processing, Computer-Assisted Neural Networks, Computer Diagnostic Imaging Algorithms Image Interpretation, Computer-Assisted Deep Learning
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Integrative Multi-Omics and Routine Blood Analysis Using Deep Learning: Cost-Effective Early Prediction of Chronic Disease Risks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 2, 2025
Chronic noncommunicable diseases (NCDS) are often characterized by gradual onset and slow progression, but the difficulty in early prediction remains a substantial health challenge worldwide. This study aims to explore the interconnectedness of disea...
Risk Factors Multiomics Humans Chronic Disease Adult Middle Aged Cost-Benefit Analysis Female Male Risk Assessment Deep Learning
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Automated segmentation of the dorsal root ganglia in MRI.

NeuroImage Apr 2, 2025
The dorsal root ganglion (DRG) contains all primary sensory neurons, but its functional role in somatosensory and pain processing remains unclear. Recently, MR imaging techniques have been developed for objective in vivo observation of the DRG. In pa...
Male Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Magnetic Resonance Imaging Female Ganglia, Spinal Adult
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A Specialized and Enhanced Deep Generation Model for Active Molecular Design Targeting Kinases Guided by Affinity Prediction Models and Reinforcement Learning.

Journal of chemical information and modeling Apr 2, 2025
Kinases are critical regulators in numerous cellular processes, and their dysregulation is linked to various diseases, including cancer. Thus, protein kinases have emerged as major drug targets at present, with approximately a quarter to a third of g...
Protein Kinases Protein Kinase Inhibitors Drug Design Deep Learning Models, Molecular
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Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 2, 2025
OBJECTIVE: This study evaluates the impact of deep learning-enhanced T1-weighted VIBE sequences (DL-VIBE) on image quality and procedural parameters during MR-guided thermoablation of liver malignancies, compared to standard VIBE (SD-VIBE).
Magnetic Resonance Imaging, Interventional Middle Aged Female Ablation Techniques Deep Learning Aged Liver Neoplasms Humans Male Magnetic Resonance Imaging Retrospective Studies Liver Microwaves
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