Results 161 to 170 of about 24,806 (247)
Laplacian filter attention with style transfer GAN for brain tumor MRI imputation. [PDF]
Na Y +7 more
europepmc +1 more source
Global existence and blow-up results for p-Laplacian parabolic problems under nonlinear boundary conditions. [PDF]
Ding J.
europepmc +1 more source
Eigenvalues variation of the p-Laplacian under the Yamabe flow
Shahroud Azami
openalex +1 more source
On the periodic boundary value problem for Duffing type fractional differential equation with p-Laplacian operator [PDF]
Hua Jin, Wenbin Liu
openalex +1 more source
Circulating tumor cells (CTCs) and tumor‐derived extracellular vesicles (tdEVs) are promising biomarkers for predicting survival and informing treatment decisions in metastatic colorectal cancer (mCRC); yet their clinical application remains limited. In this study, we analyzed CellSearch image archives from 446 patients with mCRC treated in the CAIRO2 ...
Maddalena Centanni +6 more
wiley +1 more source
PLNet: Persistent Laplacian neural network for protein-protein binding free energy prediction. [PDF]
Xu X, Wang C, Wei GW, Chen J.
europepmc +1 more source
On the global regularity for nonlinear systems of the $p$-Laplacian type
H. Beirão da Veiga, Francesca Crispo
openalex +2 more sources
This article focuses on the fully distributed leader‐following consensus problem of nonlinear fractional multi‐agent systems via event‐triggered control technique. The main intention of this article is to design a novel event‐triggered mechanism, which not only takes into account both the relative error and the absolute error of the samples but also ...
Qiaoping Li, Chao Yue
wiley +1 more source
Three tupes of self-similar blow-up for the fourth-order p-Laplacian equaiton with source: variational and branching approaches [PDF]
Victor A. Galaktionov
openalex +1 more source
Abstract Purpose (a) To design a methodology for drawing random samples of any Ensemble Average Propagator (EAP) (b) to modify the KomaMRI simulator to accommodate them as realistic spin movements to simulate diffusion MRI (dMRI) and (c) to compare these simulations with those based on the Diffusion Tensor (DT) model.
Justino R. Rodríguez‐Galván +7 more
wiley +1 more source

