Results 171 to 180 of about 92,198 (268)
ABSTRACT A substantial population of transgender and nonbinary (TNB) individuals is becoming parents. However, research on how TNB parents navigate parenthood, family dynamics, and couple functioning remains limited. This study investigated the association between parenting stress and relationship quality and tested the mediating role of discrepancy in
Shixin Fang +2 more
wiley +1 more source
Direct FFT oversampling without zero-padding. [PDF]
Donciu C, Temneanu MC, Serea E.
europepmc +1 more source
ABSTRACT Purpose To develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction. Methods Pseudo‐fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding locations, wave readout parameters, and model‐based reconstruction network (MoDL) for a rapid 3D PC scan (
Chenwei Tang +7 more
wiley +1 more source
The power of machine learning models in predicting gestational diabetes mellitus. [PDF]
Mehrnoush V +6 more
europepmc +1 more source
ABSTRACT Purpose PCr/ATP ratio is determined at 7 T typically using Fourier‐transform based magnetic resonance spectroscopic imaging sequences (FT‐MRSI). These sequences require acquisition times longer than desirable for inclusion in cardiac clinical trials. Concentric ring trajectory (CRT‐MRSI) has been described as an accelerated alternative k‐space
Ferenc E. Mózes +8 more
wiley +1 more source
Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning-Based Analysis. [PDF]
Oliveira FMGSA, Cavalcanti SM, Khoo MCK.
europepmc +1 more source
Electromagnetic Noise Characterization and Suppression in Low‐Field MRI Systems
ABSTRACT Purpose Our goal is to develop and validate a practical protocol that guides users in identifying and suppressing electromagnetic noise in low‐field MRI systems, enabling operation near the thermal noise limit. Methods We present a systematic, stepwise methodology that includes diagnostic measurements, hardware isolation strategies, and good ...
Teresa Guallart‐Naval +2 more
wiley +1 more source
Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach. [PDF]
AlSaad R +5 more
europepmc +1 more source
Bicomponent Mapping of Cortical Bone Using a New Interleaved UTE Imaging Sequence
ABSTRACT Purpose Ultrashort echo time (UTE) MRI enables direct imaging of cortical bone and quantification of its water compartments via bicomponent T2* modeling. However, conventional approaches require multiple separate dual‐echo scans due to limitations in gradient power. This approach is prone to inter‐scan inconsistencies such as motion and signal
Soo Hyun Shin +7 more
wiley +1 more source
Machine learning-based prediction of disability in subacute low back pain: a primary care study on clinical and psychosocial determinants. [PDF]
Benítez-Andrades JA +5 more
europepmc +1 more source

