Results 41 to 50 of about 5,433,982 (316)

Generating Alzheimer’s narratives using large language models

open access: yesBMC Medical Informatics and Decision Making
Background Analyzing semi-spontaneous speech is a promising direction for supporting Alzheimer’s disease (AD) assessment, yet progress is limited by the scarcity of annotated clinical data. Large Language Models (LLMs) offer new opportunities to generate
Paula Andrea Perez-Toro   +4 more
doaj   +1 more source

SSN2V: unsupervised OCT denoising using speckle split

open access: yesScientific Reports, 2023
Denoising in optical coherence tomography (OCT) is important to compensate the low signal-to-noise ratio originating from laser speckle. In recent years learning algorithms have been established as the most powerful denoising approach.
Julia Schottenhamml   +6 more
doaj   +1 more source

Texas Pattern Jury Charges [PDF]

open access: yes, 2011
Guide listing pattern jury charges to assist the bench and bar in preparing the court's charge for the jury in the state of Texas, including general instructions for the guilt/innocence and punishment stages of the trial, and instructions related to ...
State Bar of Texas. Committee on Pattern Jury Charges.   +1 more
core  

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo   +9 more
wiley   +1 more source

Rapid Interactive and Intuitive Segmentation of 3D Medical Images Using Radial Basis Function Interpolation

open access: yesJournal of Imaging, 2017
Segmentation is one of the most important parts of medical image analysis. Manual segmentation is very cumbersome, time-consuming, and prone to inter-observer variability. Fully automatic segmentation approaches require a large amount of labeled training
Tanja Kurzendorfer   +6 more
doaj   +1 more source

TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Multiimage super-resolution (MISR), as one of the most promising directions in remote sensing, has become a needy technique in the satellite market.
Tai An   +5 more
doaj   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine   +17 more
wiley   +1 more source

An Improved Extrapolation Scheme for Truncated CT Data Using 2D Fourier-Based Helgason-Ludwig Consistency Conditions

open access: yesInternational Journal of Biomedical Imaging, 2017
We improve data extrapolation for truncated computed tomography (CT) projections by using Helgason-Ludwig (HL) consistency conditions that mathematically describe the overlap of information between projections. First, we theoretically derive a 2D Fourier
Yan Xia   +5 more
doaj   +1 more source

THE EVOLUTION OF A PATTERN [PDF]

open access: yesEvolution, 1962
Uploaded by Plazi for TaxoDros. We do not have abstracts.
openaire   +2 more sources

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani   +7 more
wiley   +1 more source

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