A Dynamic‐Weighted Deep Transfer Learning Framework for Thermal Conductivity Prediction and Analysis
Leveraging the visual perception of pretrained models, a deep transfer learning framework with dynamic weighting is proposed to bridge natural vision and material microstructures. This strategy achieves a prediction accuracy (R2) of 0.89 and the model demonstrates superior generalization capabilities across multiple material systems, effectively ...
Zhenzhao Zhang +11 more
wiley +1 more source
Three-dimensional fiber orientation mapping of ex vivo human brain at micrometer resolution. [PDF]
Liu CJ +13 more
europepmc +1 more source
Effects and Correction of Patient Bulk Motion in Cranial DENSE MRI
ABSTRACT Purpose Applications of DENSE to measure cardiac driven brain tissue pulsations are highly sensitive to bulk patient motion due to the sub‐millimeter displacement encoding required, limiting its accuracy, reproducibility, and use in pediatric and aging populations.
Caroline A. Doctor +4 more
wiley +1 more source
Process combination for mechanical co-processing of residues from municipal solid waste treatment. [PDF]
Demschar P +4 more
europepmc +1 more source
ABSTRACT Purpose To evaluate the correspondence between myelin water fraction (MWF) estimates derived from multi‐echo spin echo (MESE) and multi‐echo gradient echo (MGRE) imaging in fixed mouse brain tissue, using a panel of myelin basic protein (Mbp) enhancer‐edited mouse lines exhibiting graded hypomyelination.
Vladimir Grouza +11 more
wiley +1 more source
China's social fake news database release with brain structural, functional, and behavioural measures. [PDF]
Chen W, Shi J, He Q.
europepmc +1 more source
ABSTRACT Purpose The aim of this study is to improve the traditional T1‐weighted (T1w) over T2‐weighted (T2w) ratio as a proxy for myelin by investigating the optimal T2w TE and combination of exponent‐weighted T1w and T2w images (T1wx1/T2wx2$$ \mathrm{T}1{\mathrm{w}}^{x_1}/\mathrm{T}2{\mathrm{w}}^{x_2} $$).
Simone Monachino +7 more
wiley +1 more source
Predicting entrepreneurship from brain structure and neural responses to risk and ambiguity. [PDF]
Halko ML +5 more
europepmc +1 more source
Respiratory Motion‐Corrected Model‐Based 3D Water‐Fat MRA of the Thorax at 0.55 T
ABSTRACT Purpose The goal of this study was to develop a 5‐min 3D MRA acquisition at 0.55 T with predictable scan time, 100% data efficiency, and robust water‐fat separation. Methods For full data efficiency, the proposed method combined self‐gating with retrospective motion correction while ensuring a predictable 5‐min scan time.
Robert Stoll +5 more
wiley +1 more source
Magnetic Resonance Image Findings and Potential Anatomic Risk Factors for Chodromalacia in Children and Adolescents Suffering from Non-Overload Atraumatic Knee Pain in the Ambulant Setting. [PDF]
Bäumler W +7 more
europepmc +1 more source

