AIMC Topic: Algorithms

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Real-Time Calibration-Free Musculotendon Kinematics for Neuromusculoskeletal Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 20, 2024
Neuromusculoskeletal (NMS) models enable non-invasive estimation of clinically important internal biomechanics. A critical part of NMS modelling is the estimation of musculotendon kinematics, which comprise musculotendon unit lengths, moment arms, an...
Models, Biological Humans Computer Simulation Male Calibration Neural Networks, Computer Computer Systems Female Algorithms Muscle, Skeletal Adult Biomechanical Phenomena
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Integrating Large Language Model, EEG, and Eye-Tracking for Word-Level Neural State Classification in Reading Comprehension.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 20, 2024
With the recent proliferation of large language models (LLMs), such as Generative Pre-trained Transformers (GPT), there has been a significant shift in exploring human and machine comprehension of semantic language meaning. This shift calls for inter...
Young Adult Humans Semantics Pilot Projects Algorithms Comprehension Adult Eye Movements Language Reading Male Natural Language Processing Female Fixation, Ocular Eye-Tracking Technology Electroencephalography Reproducibility of Results
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A Self-Supervised Equivariant Refinement Classification Network for Diabetic Retinopathy Classification.

Journal of imaging informatics in medicine Sep 19, 2024
Diabetic retinopathy (DR) is a retinal disease caused by diabetes. If there is no intervention, it may even lead to blindness. Therefore, the detection of diabetic retinopathy is of great significance for preventing blindness in patients. Most of the...
Humans Diabetic Retinopathy Neural Networks, Computer Machine Learning Algorithms Supervised Machine Learning Image Interpretation, Computer-Assisted
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Effect of Deep Learning Image Reconstruction on Image Quality and Pericoronary Fat Attenuation Index.

Journal of imaging informatics in medicine Sep 19, 2024
To compare the image quality and fat attenuation index (FAI) of coronary artery CT angiography (CCTA) under different tube voltages between deep learning image reconstruction (DLIR) and adaptive statistical iterative reconstruction V (ASIR-V). Three ...
Aged Adult Male Humans Middle Aged Algorithms Prospective Studies Female Radiographic Image Interpretation, Computer-Assisted Deep Learning Coronary Vessels Image Processing, Computer-Assisted Computed Tomography Angiography Adipose Tissue Epicardial Adipose Tissue Coronary Angiography
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Deep learning reconstruction algorithm and high-concentration contrast medium: feasibility of a double-low protocol in coronary computed tomography angiography.

European radiology Sep 19, 2024
OBJECTIVE: To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed utilizing high-strength deep learning image reconstructions (DLIR-H) compared to standard adaptive statistical iterative reconstruction (ASiR-V) proto...
Aged Male Middle Aged Deep Learning Humans Algorithms Prospective Studies Female Coronary Artery Disease Contrast Media Feasibility Studies Coronary Angiography Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography
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Evaluating the Effectiveness of Transtibial Prosthetic Socket Shape Design Using Artificial Intelligence: A Clinical Comparison With Traditional Plaster Cast Socket Designs.

Archives of physical medicine and rehabilitation Sep 19, 2024
OBJECTIVE: To investigate the feasibility of creating an artificial intelligence (AI) algorithm to enhance prosthetic socket shapes for transtibial prostheses, aiming for a less operator-dependent, standardized approach.
Amputees Artificial Limbs Prosthesis Design Feasibility Studies Netherlands Tibia Prosthesis Fitting Adult Cross-Sectional Studies Male Middle Aged Retrospective Studies Female Aged Humans Artificial Intelligence Algorithms
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Lazy Resampling: Fast and information preserving preprocessing for deep learning.

Computer methods and programs in biomedicine Sep 19, 2024
BACKGROUND AND OBJECTIVE: Preprocessing of data is a vital step for almost all deep learning workflows. In computer vision, manipulation of data intensity and spatial properties can improve network stability and can provide an important source of gen...
Algorithms Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Software
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Artificial intelligence-based analysis of behavior and brain images in cocaine-self-administered marmosets.

Journal of neuroscience methods Sep 19, 2024
BACKGROUND: The sophisticated behavioral and cognitive repertoires of non-human primates (NHPs) make them suitable subjects for studies involving cocaine self-administration (SA) schedules. However, ethical considerations, adherence to the 3Rs princi...
Algorithms Brain Female Animals Male Positron-Emission Tomography Behavior, Animal Self Administration Artificial Intelligence Cocaine-Related Disorders Cocaine Dopamine Plasma Membrane Transport Proteins Dopamine Uptake Inhibitors Callithrix
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Machine learning approaches to evaluate heterogeneous treatment effects in randomized controlled trials: a scoping review.

Journal of clinical epidemiology Sep 19, 2024
BACKGROUND AND OBJECTIVES: Estimating heterogeneous treatment effects (HTEs) in randomized controlled trials (RCTs) has received substantial attention recently. This has led to the development of several statistical and machine learning (ML) algorith...
Algorithms Treatment Outcome Randomized Controlled Trials as Topic Treatment Effect Heterogeneity Humans Bayes Theorem Machine Learning
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Decoupling visual and identity features for adversarial palm-vein image attack.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2024
Palm-vein has been widely used for biometric recognition due to its resistance to theft and forgery. However, with the emergence of adversarial attacks, most existing palm-vein recognition methods are vulnerable to adversarial image attacks, and to t...
Image Processing, Computer-Assisted Hand Biometric Identification Veins Humans Neural Networks, Computer Algorithms
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