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Showing 757-777 of 3,323 articles

Low-Cost Force Sensors Embedded in Physical Human-Machine Interfaces: Concept, Exemplary Realization on Upper-Body Exoskeleton, and Validation.

In modern times, the collaboration between humans and machines increasingly rises, combining their r...

Jan 2022 PMID: 35062475

Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment.

OBJECTIVE: To evaluate the image quality and clinical acceptance of a deep learning reconstruction (...

Jan 2022 PMID: 34989850

A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET.

PURPOSE: A critical bottleneck for the credibility of artificial intelligence (AI) is replicating th...

Dec 2021 PMID: 34950968

Deep learning reveals personalized spatial spectral abnormalities of high delta and low alpha bands in EEG of patients with early Parkinson's disease.

Parkinson's disease (PD) is one of the most common neurodegenerative diseases, and early diagnosis i...

Dec 2021 PMID: 34875634

Image quality and radiologists' subjective acceptance using model-based iterative and deep learning reconstructions as adjuncts to ultrahigh-resolution CT in low-dose contrast-enhanced abdominopelvic CT: phantom and clinical pilot studies.

PURPOSE: In contrast-enhanced abdominopelvic CT (CE-APCT) for oncologic follow-up, ultrahigh-resolut...

Dec 2021 PMID: 34914007

Deep-learning reconstruction for ultra-low-dose lung CT: Volumetric measurement accuracy and reproducibility of artificial ground-glass nodules in a phantom study.

OBJECTIVES: The lung nodule volume determined by CT is used for nodule diagnoses and monitoring tumo...

Dec 2021 PMID: 34908478

The Application of Machine Learning ICA-VMD in an Intelligent Diagnosis System in a Low SNR Environment.

This paper proposes a new method called independent component analysis-variational mode decompositio...

Dec 2021 PMID: 34960438

Generalisation Gap of Keyword Spotters in a Cross-Speaker Low-Resource Scenario.

Models for keyword spotting in continuous recordings can significantly improve the experience of nav...

Dec 2021 PMID: 34960407

Prediction of Wave Transmission Characteristics of Low-Crested Structures with Comprehensive Analysis of Machine Learning.

The adoption of low-crested and submerged structures (LCS) reduces the wave behind a structure, depe...

Dec 2021 PMID: 34960284

WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data.

The identification of cancer subtypes is of great importance for understanding the heterogeneity of ...

Dec 2021 PMID: 33656995

Prospective machine learning CT quantitative evaluation of idiopathic pulmonary fibrosis in patients undergoing anti-fibrotic treatment using low- and ultra-low-dose CT.

AIM: To compare the machine learning computed tomography (CT) quantification tool, Computer-Aided Lu...

Dec 2021 PMID: 34887070

GroningenNet: Deep Learning for Low-Magnitude Earthquake Detection on a Multi-Level Sensor Network.

Automatic detection of low-magnitude earthquakes has become an increasingly important research topic...

Dec 2021 PMID: 34884084

Preclinical Evaluation of a New ECCO2R Setup.

Low flow extracorporeal carbon dioxide removal (ECCO2R) is a promising approach to correct hypercapn...

Dec 2021 PMID: 36066356

Deep-learning model observer for a low-contrast hepatic metastases localization task in computed tomography.

PURPOSE: Conventional model observers (MO) in CT are often limited to a uniform background or varyin...

Dec 2021 PMID: 34792800

Understanding Medical Distrust Among African American/Black and Latino Persons Living With HIV With Sub-Optimal Engagement Along the HIV Care Continuum: A Machine Learning Approach.

Medical distrust is a potent barrier to participation in HIV care and medication use among African A...

Dec 2021 PMID: 35813871

Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising.

The explosive rise of the use of Computer tomography (CT) imaging in medical practice has heightened...

Nov 2021 PMID: 34224348

Public Health & Policy

Browse Specialties

Low-Cost Force Sensors Embedded in Physical Human-Machine Interfaces: Concept, Exemplary Realization on Upper-Body Exoskeleton, and Validation.

Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment.

A cross-scanner and cross-tracer deep learning method for the recovery of standard-dose imaging quality from low-dose PET.

Deep learning reveals personalized spatial spectral abnormalities of high delta and low alpha bands in EEG of patients with early Parkinson's disease.

Image quality and radiologists' subjective acceptance using model-based iterative and deep learning reconstructions as adjuncts to ultrahigh-resolution CT in low-dose contrast-enhanced abdominopelvic CT: phantom and clinical pilot studies.

Deep-learning reconstruction for ultra-low-dose lung CT: Volumetric measurement accuracy and reproducibility of artificial ground-glass nodules in a phantom study.

The Application of Machine Learning ICA-VMD in an Intelligent Diagnosis System in a Low SNR Environment.

Generalisation Gap of Keyword Spotters in a Cross-Speaker Low-Resource Scenario.

Prediction of Wave Transmission Characteristics of Low-Crested Structures with Comprehensive Analysis of Machine Learning.

WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data.

Prospective machine learning CT quantitative evaluation of idiopathic pulmonary fibrosis in patients undergoing anti-fibrotic treatment using low- and ultra-low-dose CT.

GroningenNet: Deep Learning for Low-Magnitude Earthquake Detection on a Multi-Level Sensor Network.

Preclinical Evaluation of a New ECCO2R Setup.

Deep-learning model observer for a low-contrast hepatic metastases localization task in computed tomography.

Understanding Medical Distrust Among African American/Black and Latino Persons Living With HIV With Sub-Optimal Engagement Along the HIV Care Continuum: A Machine Learning Approach.

Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising.

MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction.

Extending Camera's Capabilities in Low Light Conditions Based on LIP Enhancement Coupled with CNN Denoising.

Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions.

A deep-learning reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography.

Deep Learning for Reconstructing Low-Quality FTIR and Raman Spectra─A Case Study in Microplastic Analyses.

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