Results 161 to 170 of about 1,074,783 (331)
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction. [PDF]
Hong T, Xu Z, Hu J, Fessler JA.
europepmc +1 more source
Techniques for the reconstruction of two-dimensional images from projections
N. Sauthoff, S. von Goeler
openalex +2 more sources
Defect Analysis of the β– to γ–Ga2O3 Phase Transition
The role of defects at all the relevant stages of the β$\beta$‐ to γ$\gamma$‐Ga2O3 polymorph transition is investigated using a multi method approach. The positron annihilation spectroscopy based results show that the defect density decreases after the transition, and that changes in defect configuration within the γ phase occur with increasing ...
Umutcan Bektas +9 more
wiley +1 more source
A Comparison of Image Reconstruction Methods for Ring-Array Photoacoustic Computed Tomography. [PDF]
Park H, Vu T, Yao J, Jing Y.
europepmc +1 more source
Sectional image reconstruction in optical scanning holography
Xin Zhang
openalex +1 more source
Gradient‐based compressive sensing for noise image and video reconstruction [PDF]
Huihuang Zhao +3 more
openalex +1 more source
Joint reconstruction and bias field correction for undersampled MR\n imaging [PDF]
Mélanie Gaillochet +2 more
openalex +1 more source
Smart Nanogels as Enzyme‐Driven Nanomotors for Navigating Viscous Physiological Barriers
Two families of urease‐powered nanomotors (NMs), with and without a p‐(2‐hydroxyethyl methacrylate) (p‐HEMA) shell, have been successfully prepared. Both types exhibit effective motion in highly viscous synovial fluid media at low urea concentrations (25 mM).
David Esporrín‐Ubieto +6 more
wiley +1 more source
A cone-beam photon-counting CT dataset for spectral image reconstruction and deep learning. [PDF]
Zhou E +8 more
europepmc +1 more source

