AIMC Topic: Deep Learning

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Enhanced dose prediction for head and neck cancer artificial intelligence-driven radiotherapy based on transfer learning with limited training data.

Journal of applied clinical medical physics Mar 14, 2025
PURPOSE: Training deep learning dose prediction models for the latest cutting-edge radiotherapy techniques, such as AI-based nodal radiotherapy (AINRT) and Daily Adaptive AI-based nodal radiotherapy (DA-AINRT), is challenging due to limited data. Thi...
Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Algorithms Deep Learning Radiotherapy Dosage Humans Radiotherapy, Intensity-Modulated Artificial Intelligence
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BERT-AmPEP60: A BERT-Based Transfer Learning Approach to Predict the Minimum Inhibitory Concentrations of Antimicrobial Peptides for and .

Journal of chemical information and modeling Mar 14, 2025
Antimicrobial peptides (AMPs) are a promising alternative for combating bacterial drug resistance. While current computer prediction models excel at binary classification of AMPs based on sequences, there is a lack of regression methods to accurately...
Anti-Bacterial Agents Deep Learning Microbial Sensitivity Tests Machine Learning Antimicrobial Peptides Escherichia coli Staphylococcus aureus
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Deep-Learning Potential Molecular Dynamics Study on Nanopolycrystalline Al-Er Alloys: Effects of Er Concentration, Grain Boundary Segregation, and Grain Size on Plastic Deformation.

Journal of chemical information and modeling Mar 14, 2025
Understanding the tensile mechanical properties of Al-Er alloys at the atomic scale is essential, and molecular dynamics (MD) simulations offer valuable insights. However, these simulations are constrained by the unavailability of suitable interatomi...
Particle Size Density Functional Theory Nanostructures Alloys Molecular Dynamics Simulation Deep Learning Aluminum
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Multitarget Natural Compounds for Ischemic Stroke Treatment: Integration of Deep Learning Prediction and Experimental Validation.

Journal of chemical information and modeling Mar 14, 2025
Ischemic stroke's complex pathophysiology demands therapeutic approaches targeting multiple pathways simultaneously, yet current treatments remain limited. We developed an innovative drug discovery pipeline combining a deep learning approach with exp...
Drug Discovery Deep Learning Rats Animals Ischemic Stroke Molecular Docking Simulation Quantitative Structure-Activity Relationship PC12 Cells Neuroprotective Agents Biological Products
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Adaptive Vectorial Restoration from Dynamic Speckle Patterns Through Biological Scattering Media Based on Deep Learning.

Sensors (Basel, Switzerland) Mar 14, 2025
Imaging technologies based on vector optical fields hold significant potential in the biomedical field, particularly for non-invasive scattering imaging of anisotropic biological tissues. However, the dynamic and anisotropic nature of biological tiss...
Image Processing, Computer-Assisted Algorithms Deep Learning Scattering, Radiation Humans Anisotropy Neural Networks, Computer
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Structured hashing with deep learning for modality, organ, and disease content sensitive medical image retrieval.

Scientific reports Mar 14, 2025
Evidence-based medicine is the preferred procedure among clinicians for treating patients. Content-based medical image retrieval (CBMIR) is widely used to extract evidence from a large archive of medical images. Developing effective CBMIR systems for...
Diagnostic Imaging Information Storage and Retrieval Deep Learning Image Processing, Computer-Assisted Humans Algorithms Databases, Factual
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Comparative analysis of deep learning architectures for breast region segmentation with a novel breast boundary proposal.

Scientific reports Mar 14, 2025
Segmentation of the breast region in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for the automatic measurement of breast density and the quantitative analysis of imaging findings. This study aims to compare various dee...
Female Adult Middle Aged Deep Learning Breast Neoplasms Humans Breast Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Alternate encoder and dual decoder CNN-Transformer networks for medical image segmentation.

Scientific reports Mar 14, 2025
Accurately extracting lesions from medical images is a fundamental but challenging problem in medical image analysis. In recent years, methods based on convolutional neural networks and Transformer have achieved great success in the medical image seg...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Deep learning-based classification of hemiplegia and diplegia in cerebral palsy using postural control analysis.

Scientific reports Mar 14, 2025
Cerebral palsy (CP) is a neurological condition that affects mobility and motor control, presenting significant challenges for accurate diagnosis, particularly in cases of hemiplegia and diplegia. This study proposes a method of classification utiliz...
Hemiplegia Deep Learning Postural Balance Cerebral Palsy Female Humans Male Neural Networks, Computer
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Deep learning prioritizes cancer mutations that alter protein nucleocytoplasmic shuttling to drive tumorigenesis.

Nature communications Mar 14, 2025
Genetic variants can affect protein function by driving aberrant subcellular localization. However, comprehensive analysis of how mutations promote tumor progression by influencing nuclear localization is currently lacking. Here, we systematically ch...
Cytoplasm Nuclear Localization Signals PTEN Phosphohydrolase Mutation Cell Nucleus Active Transport, Cell Nucleus Humans Deep Learning Carcinogenesis Neoplasms
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