Results 101 to 110 of about 24,390 (215)
ABSTRACT Purpose First‐pass perfusion cardiovascular MR (FPP‐CMR) enables the non‐invasive diagnosis of microcirculation and coronary artery disease. In free‐breathing FPP‐CMR, motion correction is usually performed in the image domain, requiring an initial reconstruction.
Elisa Moya‐Sáez +10 more
wiley +1 more source
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi +7 more
wiley +1 more source
Applications of large‐scale artificial intelligence models in bioinformatics
Abstract Large‐scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large‐scale AI models in
Mingjing Li +5 more
wiley +1 more source
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
wiley +1 more source
Image analysis using fuzzy mathematical morphology
Una morfologia matemática difusa combinada con un algoritmo genético para resolver problemas de ruido en imagenes.
openaire +1 more source
Diffusional magnetic resonance imaging anonymizing with variational autoencoder
Abstract Anonymization is a crucial de‐identification technique that protects data privacy while ensuring its utility for model building. Current generative models such as generative adversarial networks and variational auto‐encoders (VAEs) have been applied to medical image anonymization but mainly focus on general image features, lacking specificity ...
Yunheng Shen +4 more
wiley +1 more source
Text Mining in Bibliometrics and Science Mapping: A Methodological Review
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley +1 more source
Two‐Photon 3D Printing of Functional Microstructures Inside Living Cells
This study demonstrates 3D printing inside living cells by using two‐photon photo‐lithography. A bio‐compatible photoresist is injected into cells and selectively polymerized with a femtosecond laser, creating custom‐shaped intracellular structures with submicron resolution.
Maruša Mur +4 more
wiley +1 more source
Abstract ChatGPT and related technologies have revived an old issue in information science (IS) concerning information retrieval (IR) versus document retrieval. Since 1950, the term IR has primarily been used as a misnomer for document retrieval. This problematic terminology reflects a desire to go beyond documents and provide, in response to user ...
Birger Hjørland
wiley +1 more source
This graphical abstract compares circuit‐based, signal‐processing‐based, and intelligent‐learning‐based approaches for secondary arc‐fault detection, highlighting their key principles and practical advantages. ABSTRACT Reliable detection of free‐air electric arc faults in high‐voltage overhead transmission lines, together with accurate discrimination ...
Mahyar Abasi +2 more
wiley +1 more source

