AIMC Topic: Deep Learning

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Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments.

Journal of applied clinical medical physics Apr 23, 2025
Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra-hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter-fraction variabil...
Cone-Beam Computed Tomography Prostatic Neoplasms Rectum Male Deep Learning Radiotherapy, Intensity-Modulated Radiosurgery Urinary Bladder Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Retrospective Studies
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Deep learning approach in undergraduate nursing students and their relationship with learning outcomes: A latent profile analysis.

Nurse education in practice Apr 23, 2025
BACKGROUND: Deep learning approach plays a pivotal role in nursing education, equipping students with the critical thinking skills and knowledge necessary to address complex clinical challenges. However, nursing students exhibit diverse approaches to...
Humans Female Adult China Surveys and Questionnaires Students, Nursing Cross-Sectional Studies Male Deep Learning Education, Nursing, Baccalaureate
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Deep learning-based spatial optimization of green and cool roof implementation for urban heat mitigation.

Journal of environmental management Apr 23, 2025
Intensifying urban heat extremes require efficient mitigation strategies; therefore, we propose a methodological framework for optimizing the implementation of urban green and cool roofs to reduce heat stress while maximizing their cost-effectiveness...
Cities Algorithms Climate Change Hot Temperature Deep Learning
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Evaluating and mitigating bias in AI-based medical text generation.

Nature computational science Apr 23, 2025
Artificial intelligence (AI) systems, particularly those based on deep learning models, have increasingly achieved expert-level performance in medical applications. However, there is growing concern that such AI systems may reflect and amplify human ...
Adult Artificial Intelligence Humans Algorithms Male Bias Female Deep Learning
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Dynamic Hierarchical Convolutional Attention Network for Recognizing Motor Imagery Intention.

IEEE transactions on cybernetics Apr 23, 2025
The neural activity patterns of localized brain regions are crucial for recognizing brain intentions. However, existing electroencephalogram (EEG) decoding models, especially those based on deep learning, predominantly focus on global spatial feature...
Intention Imagination Young Adult Adult Male Deep Learning Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Brain Female Humans
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Torg-Pavlov ratio qualification to diagnose developmental cervical spinal stenosis based on HRViT neural network.

BMC musculoskeletal disorders Apr 23, 2025
BACKGROUND: Developing computer-assisted methods to measure the Torg-Pavlov ratio (TPR), defined as the ratio of the sagittal diameter of the cervical spinal canal to the sagittal diameter of the corresponding vertebral body on lateral radiographs, c...
Deep Learning Radiographic Image Interpretation, Computer-Assisted Cervical Vertebrae Male Middle Aged Spinal Stenosis Spinal Canal Humans Neural Networks, Computer Female Young Adult Adult
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Improved food image recognition by leveraging deep learning and data-driven methods with an application to Central Asian Food Scene.

Scientific reports Apr 23, 2025
The burden of diet-related diseases is high in Central Asia. In recent years, the field of food computing has gained prominence due to advancements in computer vision (CV) and the increasing use of smartphones and social media. These technologies pro...
Algorithms Food Deep Learning Asia Humans Image Processing, Computer-Assisted
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Ambiguity-aware semi-supervised learning for leaf disease classification.

Scientific reports Apr 23, 2025
In deep learning, Semi-Supervised Learning is a highly effective technique to enhances neural network training by leveraging both labeled and unlabeled data. This process involves using a trained model to generate pseudo labels to the unlabeled sampl...
Plant Leaves Supervised Machine Learning Plant Diseases Musa Neural Networks, Computer Algorithms Deep Learning
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Using deep learning models to decode emotional states in horses.

Scientific reports Apr 23, 2025
In this study, we explore machine learning models for predicting emotional states in ridden horses. We manually label the images to train the models in a supervised manner. We perform data exploration and use different cropping methods, mainly based ...
Neural Networks, Computer Animals Horses Behavior, Animal Deep Learning Emotions
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A hybrid variational autoencoder and WGAN with gradient penalty for tertiary protein structure generation.

Scientific reports Apr 23, 2025
Elucidating the tertiary structure of proteins is important for understanding their functions and interactions. While deep neural networks have advanced the prediction of a protein's native structure from its amino acid sequence, the focus on a singl...
Autoencoder Algorithms Deep Learning Computational Biology Proteins Models, Molecular Protein Structure, Tertiary Neural Networks, Computer
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