Results 201 to 210 of about 3,295,261 (308)
Complex networks interactions between bioactive compounds and adipose tissue vis-à-vis insulin resistance. [PDF]
Barrera-Esparza M+7 more
europepmc +1 more source
Complex Networks and Interacting Particle Systems. [PDF]
Abadi N, Ruzzenenti F.
europepmc +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
Information and Knowledge Diffusion Dynamics in Complex Networks with Independent Spreaders. [PDF]
Zhuang Y, Li W, Liu Y.
europepmc +1 more source
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg+2 more
wiley +1 more source
Complex networks applied to political analysis: Group voting behavior in the Brazilian congress. [PDF]
Toledo Junior TJO+2 more
europepmc +1 more source
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan+6 more
wiley +1 more source
A novel method for tracking structural changes in gels using widely accessible microcomputed tomography is presented and validated for various hydro‐, alco‐, and aerogels. The core idea of the method is to track positions of micrometer‐sized tracer particles entrapped in the gel and relate them to the density of the gel network.
Anja Hajnal+3 more
wiley +1 more source
Finding Key Nodes in Complex Networks Through Quantum Deep Reinforcement Learning. [PDF]
Xiong J, Ren XL, Lü L.
europepmc +1 more source
An Introduction to Complex Networks in Climate Finance. [PDF]
Kartun-Giles AP, Ameli N.
europepmc +1 more source