Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1103/physreva.54.r4649 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging.
Comput Med Imaging Graph
January 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.
View Article and Find Full Text PDFPooled prevalence and subgroup variations of Tetralogy of Fallot among children and adolescents with congenital heart defect in Sub-Saharan Africa: A systematic review and meta-analysis.
PLoS One
January 2025
Department of Anatomy, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia.
Background: Tetralogy of Fallot is one of the critical congenital heart defects needing intervention within the first year of life.
Objective: This review aims to systematically assess the prevalence of Tetralogy of Fallot among children and adolescents with congenital heart defects in Sub-Saharan Africa from January 2000 to January 2024.
Methods: All original observational studies focused on children and adolescent population diagnosed with congenital heart defects within Sub-Saharan Africa; reported the primary outcome of interest were included.
Precision data-driven modeling of cortical dynamics reveals person-specific mechanisms underpinning brain electrophysiology.
Proc Natl Acad Sci U S A
January 2025
Department of Electrical & Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130.
Task-free brain activity affords unique insight into the functional structure of brain network dynamics and has been used to identify neural markers of individual differences. In this work, we present an algorithmic optimization framework that directly inverts and parameterizes brain-wide dynamical-systems models involving hundreds of interacting neural populations, from single-subject M/EEG time-series recordings. This technique provides a powerful neurocomputational tool for interrogating mechanisms underlying individual brain dynamics ("precision brain models") and making quantitative predictions.
View Article and Find Full Text PDFComputational approaches of modelling human papillomavirus transmission and prevention strategies: a systematic review.
J Biol Dyn
December 2025
Modelling and Simulation Research Group, School of Computer Science, Faculty of Engineering, The University of Sydney, Sydney, NSW, Australia.
Human papillomavirus (HPV) infection is the most common sexually transmitted infection in the world. Persistent oncogenic HPV infection has been a leading threat to global health and can lead to serious complications such as cervical cancer. Prevention interventions including vaccination and screening have been proven effective in reducing the risk of HPV-related diseases.
View Article and Find Full Text PDFGestational exposure to PM, NO, and sex steroid hormones: Identifying critical windows of exposure in the Rochester UPSIDE Cohort.
Environ Epidemiol
February 2025
Department of Public Health Sciences, University of Rochester Medical Center, Rochester, New York.
Background: Sex steroid hormones are critical for maintaining pregnancy and optimal fetal development. Air pollutants are potential endocrine disruptors that may disturb sex steroidogenesis during pregnancy, potentially leading to adverse health outcomes.
Methods: In the Environmental influences on Child Health Outcomes Understanding Pregnancy Signals and Infant Development pregnancy cohort (Rochester, NY), sex steroid concentrations were collected at study visits in early-, mid-, and late-pregnancy in 299 participants.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!