AIMC Topic: Deep Learning

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A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction.

The Knee Feb 28, 2025
BACKGROUND: Anterior cruciate ligament (ACL) reconstruction is a widely performed procedure for ACL injury, but there are several factors which may lead to re-rupture or clinical failure. An intercondylar notch (or fossa) that is narrower may increas...
Female Male Deep Learning Humans Femur Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Reconstruction Imaging, Three-Dimensional Models, Statistical Knee Joint
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Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease.

Medical image analysis Feb 28, 2025
Examining the altered arrangement and patterning of sulcal folds offers insights into the mechanisms of neurodevelopmental differences in psychiatric and neurological disorders. Previous sulcal pattern analysis used spectral graph matching of sulcal ...
Adolescent Child Female Magnetic Resonance Imaging Male Image Interpretation, Computer-Assisted Deep Learning Cerebral Cortex Heart Defects, Congenital Humans Neural Networks, Computer
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A hybrid network based on multi-scale convolutional neural network and bidirectional gated recurrent unit for EEG denoising.

Neuroscience Feb 28, 2025
Electroencephalogram (EEG) signals are time series data containing abundant brain information. However, EEG frequently contains various artifacts, such as electromyographic, electrooculographic, and electrocardiographic. These artifacts can change EE...
Signal-To-Noise Ratio Brain Deep Learning Convolutional Neural Networks Electroencephalography Signal Processing, Computer-Assisted Artifacts Humans Neural Networks, Computer
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A deep learning strategy to identify cell types across species from high-density extracellular recordings.

Cell Feb 28, 2025
High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals an...
Purkinje Cells Rats Mice, Inbred C57BL Neurons Cerebellum Interneurons Optogenetics Male Deep Learning Mice Animals
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Toward a rapid, sensitive, user-friendly, field-deployable artificial intelligence tool for enhancing African swine fever diagnosis and reporting.

American journal of veterinary research Feb 28, 2025
OBJECTIVE: African swine fever (ASF) is a lethal and highly contagious transboundary animal disease with the potential for rapid international spread. Lateral flow assays (LFAs) are sometimes hard to read by the inexperienced user, mainly due to the ...
Sensitivity and Specificity Animals African Swine Fever Artificial Intelligence Swine Deep Learning Smartphone
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DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition.

IEEE transactions on neural networks and learning systems Feb 28, 2025
With the continuous development of deep learning (DL), the task of multimodal dialog emotion recognition (MDER) has recently received extensive research attention, which is also an essential branch of DL. The MDER aims to identify the emotional infor...
Humans Neural Networks, Computer Algorithms Emotions Semantics Pattern Recognition, Automated Deep Learning Convolutional Neural Networks
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Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Human activity recognition (HAR) is a popular research field in computer vision that has already been widely studied. However, it is still an active research field since it plays an important role in many current and emerging real-world intelligent s...
Reinforcement Machine Learning Humans Neural Networks, Computer Deep Learning Pattern Recognition, Automated Human Activities Reinforcement, Psychology
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Enhanced U-Net for Infant Brain MRI Segmentation: A (2+1)D Convolutional Approach.

Sensors (Basel, Switzerland) Feb 28, 2025
BACKGROUND: Infant brain tissue segmentation from MRI data is a critical task in medical imaging, particularly challenging due to the evolving nature of tissue contrasts in the early months of life. The difficulty increases as gray matter (GM) and wh...
Infant Spatio-Temporal Analysis Magnetic Resonance Imaging Deep Learning Gray Matter Cerebrospinal Fluid Humans Datasets as Topic Brain White Matter Convolutional Neural Networks Imaging, Three-Dimensional Image Processing, Computer-Assisted
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A Comparative Study of Plantar Pressure and Inertial Sensors for Cross-Country Ski Classification Using Deep Learning.

Sensors (Basel, Switzerland) Feb 28, 2025
This work presents a comparative study of low cost and low invasiveness sensors (plantar pressure and inertial measurement units) for classifying cross-country skiing techniques. A dataset was created for symmetrical comparative analysis, with data c...
Pressure Accelerometry Foot Skiing Humans Biomechanical Phenomena Deep Learning
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GPC-YOLO: An Improved Lightweight YOLOv8n Network for the Detection of Tomato Maturity in Unstructured Natural Environments.

Sensors (Basel, Switzerland) Feb 28, 2025
Effective fruit identification and maturity detection are important for harvesting and managing tomatoes. Current deep learning detection algorithms typically demand significant computational resources and memory. Detecting severely stacked and obscu...
Neural Networks, Computer Fruit Algorithms Deep Learning Solanum lycopersicum
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