Deep learning with attention modules and residual transformations improves hepatocellular carcinoma (HCC) differentiation using multiphase CT. [PDF]
Wang Y +4 more
europepmc +1 more source
Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches
ABSTRACT During the past two decades, methods for identifying groups with different trends in longitudinal data involving a single numeric outcome have become of increasing interest across many areas of research. To support researchers, we summarize the guidance from literature regarding the clustering of such data.
N. G. P. Den Teuling +2 more
wiley +1 more source
Stepwise improvement in intracerebral haematoma expansion prediction with advanced imaging: a comprehensive comparison of existing scores. [PDF]
Pensato U +15 more
europepmc +1 more source
Twists and Turns of Liquid Crystals Unravelled by Small‐Angle Scattering
X‐ray scattering provides valuable insights into material structure and self‐assembly. This review discusses the use of small‐ and wide‐angle X‐ray scattering (SWAXS) as well as grazing incident SWAXS for examining self‐assembled systems, especially liquid crystals.
Jessie Wong +2 more
wiley +1 more source
Assessment of intratumor heterogeneity in non-small cell lung cancer by unsupervised K-means clustering of radiomics features based on multiphase computed tomography images. [PDF]
Wang R +7 more
europepmc +1 more source
Generative AI for Requirements Engineering: A Systematic Literature Review
ABSTRACT Introduction Requirements engineering (RE) faces challenges due to the handling of increasingly complex software systems. These challenges can be addressed using generative artificial intelligence (GenAI). Given that GenAI‐based RE has not been systematically analyzed in detail, this review examines the related research, focusing on trends ...
Haowei Cheng +6 more
wiley +1 more source
Evaluative assessment of a five-phase and three-phase permanent magnet synchronous machine at varied loads and fault conditions. [PDF]
Omeje CO, Salau AO.
europepmc +1 more source
Abstract We introduce JAX‐LaB, a differentiable, Python‐based Lattice Boltzmann simulation library designed for modeling multiphase and multiphysics fluid dynamics problems in hydrologic, geologic, and engineered porous media settings. The library is designed as an extension to XLB (Ataei & Salehipour, 2024, https://doi.org/10.1016/j.cpc.2024.109187 ...
Piyush Pradhan +2 more
wiley +1 more source
A robust pressure drop prediction model in vertical multiphase flow: a machine learning approach. [PDF]
Alakbari FS +5 more
europepmc +1 more source
The present study investigates the deformation behavior of high‐strength steels and the associated evolution of material anisotropy. Particular focus is placed on the impact of crystallographic texture and intergranular strains on how residual stresses can be evaluated using X‐ray diffraction and the associated assessment of weld seams in the ...
Michael Zuern +3 more
wiley +1 more source

