Results 221 to 230 of about 124,232 (320)
Multimodal medical image fusion combining saliency perception and generative adversarial network. [PDF]
Albekairi M +6 more
europepmc +1 more source
Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley +1 more source
Deeply supervised two stage generative adversarial network for stain normalization. [PDF]
Du Z +6 more
europepmc +1 more source
Three dimensional Generative Adversarial Networks for fast simulation
F. Carminati +5 more
openalex +1 more source
Appraisal of Gene Expression‐Based Classifiers for Neuropsychiatric Disorders: A Meta‐Regression
ABSTRACT A substantial body of research examines the potential of gene‐expression‐based biomarkers for diagnosing and selecting treatments for neuropsychiatric disorders, yet no clear consensus has been reached regarding the influence of controllable factors such as study design and model selection on the performance of gene‐expression‐based ...
Ali Razavi +6 more
wiley +1 more source
Personal health data protection and intelligent healthcare applications under generative adversarial network. [PDF]
Gao X, Mi W, Feng X.
europepmc +1 more source
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley +1 more source
Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks [PDF]
Ankan Kumar Bhunia +6 more
openalex +1 more source
Quantitative Analysis of Fluorescent Sensor Arrays
Fluorescent sensor arrays have great potential for the quantification of analytes in complex systems. Herein, statistical multivariate techniques and deep learning models to provide quantitative information from such arrays are reviewed. Fluorescent sensor arrays address the limitations of a single sensor by leveraging multiple sensing elements to ...
Karandeep Grover +3 more
wiley +1 more source

