Medicaid

Low-dose CT reconstruction with Noise2Noise network and testing-time fine-tuning.

PURPOSE: Deep learning-based image denoising and reconstruction methods demonstrated promising perfo...

The gospel of patients with ultra-low rectal cancer: robot-assisted intersphincteric resection-a video vignette.

Monitoring Illegal Tree Cutting through Ultra-Low-Power Smart IoT Devices.

Forests play a fundamental role in preserving the environment and fighting global warming. Unfortuna...

Artificial intelligence model comparison for risk factor analysis of patent ductus arteriosus in nationwide very low birth weight infants cohort.

Despite the many comorbidities and high mortality rate in preterm infants with patent ductus arterio...

Deep learning-based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance.

PURPOSE: This work was set out to investigate the feasibility of dose reduction in SPECT myocardial ...

A Fluorescent Biosensor for Sensitive Detection of Typhimurium Using Low-Gradient Magnetic Field and Deep Learning via Faster Region-Based Convolutional Neural Network.

In this study, a fluorescent biosensor was developed for the sensitive detection of typhimurium usi...

Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging.

The amount of radiotracer injected into laboratory animals is still the most daunting challenge faci...

DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms.

PURPOSE: Reducing the injected activity and/or the scanning time is a desirable goal to minimize rad...

Identifying clinical phenotypes in extremely low birth weight infants-an unsupervised machine learning approach.

There is increasing evidence that patient heterogeneity significantly hinders advancement in clinica...

A Fast Intrusion Detection Method for High-Speed Railway Clearance Based on Low-Cost Embedded GPUs.

The efficiency and the effectiveness of railway intrusion detection are crucial to the safety of rai...

Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.

OBJECTIVE: To evaluate the association of low-value care with excess out-of-pocket expenditure among...

Modeling Anthropogenic and Environmental Influences on Freshwater Harmful Algal Bloom Development Detected by MERIS Over the Central United States.

Human and ecological health have been threatened by the increase of cyanobacteria harmful algal bloo...

Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy.

OBJECTIVE: To develop high-quality synthetic CT (sCT) generation method from low-dose cone-beam CT (...

Estimating subjective evaluation of low-contrast resolution using convolutional neural networks.

To develop a convolutional neural network-based method for the subjective evaluation of computed tom...

SenSARS: A Low-Cost Portable Electrochemical System for Ultra-Sensitive, Near Real-Time, Diagnostics of SARS-CoV-2 Infections.

A critical path to solving the SARS-CoV-2 pandemic, without further socioeconomic impact, is to stop...

Laparoscopic Versus Robot-Assisted Versus Transanal Low Anterior Resection: 3-Year Oncologic Results for a Population-Based Cohort in Experienced Centers.

BACKGROUND: Laparoscopic, robot-assisted, and transanal total mesorectal excision are the minimally ...

A Joint Model Provisioning and Request Dispatch Solution for Low-Latency Inference Services on Edge.

With the advancement of machine learning, a growing number of mobile users rely on machine learning ...

Deep Learning-based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics, and Clinical Implementations.

Optimizing the CT acquisition parameters to obtain diagnostic image quality at the lowest possible r...

A Large-Scale Fully Annotated Low-Cost Microscopy Image Dataset for Deep Learning Framework.

This work presents a large-scale three-fold annotated, low-cost microscopy image dataset of potato t...

A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data.

Medical image segmentation has achieved remarkable advancements using deep neural networks (DNNs). H...

Artificial Visual Perception Nervous System Based on Low-Dimensional Material Photoelectric Memristors.

The visual perception system is the most important system for human learning since it receives over ...