Results 181 to 190 of about 1,185,392 (332)
Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging
iRADIOLOGY, EarlyView.The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun +9 more
wiley +1 more source
RobEns: Robust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic. [PDF]
Sensors (Basel)Alkadi S, Al-Ahmadi S, Ben Ismail MM.
europepmc +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
Microscopy Research and Technique, EarlyView.It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Adversarial Examples in Modern Machine Learning: A Review [PDF]
, 2019 Rey Reza Wiyatno +3 more
openalex +1 more source
Journal of Intelligent Medicine, EarlyView.Abstract Kinase inhibitors are essential in targeted cancer therapy, yet resistance often emerges through secondary mutations, activation of compensatory signaling pathways, or drug‐efflux mechanisms. Artificial intelligence (AI) provides a workflow‐based strategy rather than a list of unrelated tools for predicting and addressing kinase‐inhibitor ...
Faris Hassan +3 more
wiley +1 more source
Adversarial Robustness Of Multimodal Machine Learning Models [PDF]
Mateusz Kowalczyk +3 more
openalex +1 more source
Journal of Organizational Behavior, EarlyView.ABSTRACT As organizations increasingly adopt human‐AI teams (HATs), understanding how to enhance team performance is paramount. A crucially underexplored area for supporting HATs is training, particularly helping human teammates to work with these inorganic counterparts.
Caitlin M. Lancaster +5 more
wiley +1 more source
Laser &Photonics Reviews, EarlyView.This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya +7 more
wiley +1 more source
On the Economics of Adversarial Machine Learning [PDF]
Florian Merkle +3 more
openalex +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
Med Research, EarlyView.The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source