AIMC Topic: Deep Learning

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Wasserstein generative adversarial network with gradient penalty and convolutional neural network based motor imagery EEG classification.

Journal of neural engineering Aug 14, 2024
Due to the difficulty in acquiring motor imagery electroencephalography (MI-EEG) data and ensuring its quality, insufficient training data often leads to overfitting and inadequate generalization capabilities of deep learning-based classification net...
Neural Networks, Computer Deep Learning Electroencephalography Brain-Computer Interfaces Humans Wavelet Analysis Imagination
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Self-normalization for a 1 mmresolution clinical PET system using deep learning.

Physics in medicine and biology Aug 14, 2024
This work proposes, for the first time, an image-based end-to-end self-normalization framework for positron emission tomography (PET) using conditional generative adversarial networks (cGANs).We evaluated different approaches by exploring each of the...
Monte Carlo Method Phantoms, Imaging Deep Learning Image Processing, Computer-Assisted Positron-Emission Tomography Humans
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Hierarchical multi-level dynamic hyperparameter deformable image registration with convolutional neural network.

Physics in medicine and biology Aug 14, 2024
. To enable the registration network to be trained only once, achieving fast regularization hyperparameter selection during the inference phase, and to improve registration accuracy and deformation field regularity.. Hyperparameter tuning is an essen...
Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed
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Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies.

PloS one Aug 14, 2024
The generalization of deep neural network algorithms to a broader population is an important challenge in the medical field. We aimed to apply self-supervised learning using masked autoencoders (MAEs) to improve the performance of the 12-lead electro...
Supervised Machine Learning Male Deep Learning Ventricular Dysfunction, Left Humans ROC Curve Echocardiography Female Neural Networks, Computer Electrocardiography Middle Aged Aged Algorithms Adult
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Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 14, 2024
Accurate sleep stage classification is significant for sleep health assessment. In recent years, several machine-learning based sleep staging algorithms have been developed, and in particular, deep-learning based algorithms have achieved performance ...
Deep Learning Neural Networks, Computer Humans Female Electroencephalography Machine Learning Polysomnography Adult Algorithms Sleep Stages Male
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A Deep Learning-Derived Transdiagnostic Signature Indexing Hypoarousal and Impulse Control: Implications for Treatment Prediction in Psychiatric Disorders.

Biological psychiatry. Cognitive neuroscience and neuroimaging Aug 13, 2024
BACKGROUND: Psychiatric disorders are traditionally classified within diagnostic categories, but this approach has limitations. The Research Domain Criteria (RDoC) constitute a research classification system for psychiatric disorders based on dimensi...
Young Adult Humans Middle Aged Arousal Adult Electroencephalography Mental Disorders Deep Learning Sleep Wake Disorders Beta Rhythm Female Male Adolescent
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Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences.

Journal of imaging informatics in medicine Aug 13, 2024
Segmentation of infarcts is clinically important in ischemic stroke management and prognostication. It is unclear what role the combination of DWI, ADC, and FLAIR MRI sequences provide for deep learning in infarct segmentation. Recent technologies in...
Deep Learning Magnetic Resonance Imaging Stroke Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Aged Male Middle Aged Humans Neural Networks, Computer Female
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Ensemble of Deep Learning Architectures with Machine Learning for Pneumonia Classification Using Chest X-rays.

Journal of imaging informatics in medicine Aug 13, 2024
Pneumonia is a severe health concern, particularly for vulnerable groups, needing early and correct classification for optimal treatment. This study addresses the use of deep learning combined with machine learning classifiers (DLxMLCs) for pneumonia...
Humans Radiography, Thoracic Support Vector Machine Neural Networks, Computer Pneumonia Radiographic Image Interpretation, Computer-Assisted Machine Learning Deep Learning
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The Usefulness of Low-Kiloelectron Volt Virtual Monochromatic Contrast-Enhanced Computed Tomography with Deep Learning Image Reconstruction Technique in Improving the Delineation of Pancreatic Ductal Adenocarcinoma.

Journal of imaging informatics in medicine Aug 13, 2024
To evaluate the usefulness of low-keV multiphasic computed tomography (CT) with deep learning image reconstruction (DLIR) in improving the delineation of pancreatic ductal adenocarcinoma (PDAC) compared to conventional hybrid iterative reconstruction...
Pancreatic Neoplasms Radiographic Image Interpretation, Computer-Assisted Carcinoma, Pancreatic Ductal Humans Deep Learning Retrospective Studies Adult Image Processing, Computer-Assisted Male Aged Contrast Media Middle Aged Aged, 80 and over Tomography, X-Ray Computed Female
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A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.

Journal of imaging informatics in medicine Aug 13, 2024
The diagnosis and treatment of pulmonary hypertension have changed dramatically through the re-defined diagnostic criteria and advanced drug development in the past decade. The application of Artificial Intelligence for the detection of elevated pulm...
Middle Aged Deep Learning Electrocardiography Sensitivity and Specificity Male Echocardiography Radiography, Thoracic Pulmonary Arterial Hypertension Humans Female Aged
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