Results 201 to 210 of about 43,961 (294)

AIR-GANet: multi-head attention integrated residual dense block based generative adversarial network for visible and infrared image fusion. [PDF]

Sci Rep
Bineeshia J, Kumar BV.
europepmc   +1 more source

An Efficient Method for Facial Sketches Synthesization Using Generative Adversarial Networks

Dr Prakash Bethapudi
openalex   +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, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Dosimetric evaluations using cycle-consistent generative adversarial network synthetic CT for MR-guided adaptive radiation therapy. [PDF]

Front Oncol
Asher GL, Wang S, Zaki BI, Russo GA, Gill GS, Thomas CR, Prioleau TO, Li Y, Zhang R, Yan Y, Hunt B.   +10 more
europepmc   +1 more source

Generative Adversarial Networks for Semantic Image Synthesis and Unconditional Synthesis with Limited Data

Vadim Sushko
openalex   +1 more source

A Hybrid Quantum-Classical Generative Adversarial Network for Near-Term Quantum Processors

Albha O’Dwyer Boyle, Gholamreza Nikandish   +1 more
openalex   +1 more source

Artificial intelligence strategies for predicting kinase inhibitor resistance: A comprehensive review of methods, challenges, and future perspectives

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, Mohanad Ali Deifallah, Alaa Zaghloul, Rania Elgohary   +3 more
wiley   +1 more source

Anchor-controlled generative adversarial network for high-fidelity electromagnetic and structurally diverse metasurface design. [PDF]

Nanophotonics
Zeng Y, Cao H, Jin X.
europepmc   +1 more source

Preparing for Tomorrow's Teamwork: Insights From eSports on How Human Expertise Shapes Training Needs for AI‐Integrated Work

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, Christopher Flathmann, Jennifer Hsu, Nathan J. McNeese, Thomas A. O'Neill, Eduardo Salas   +5 more
wiley   +1 more source

A comprehensive comparative study of generative adversarial network architectures for synthetic computed tomography generation in the abdomen. [PDF]

Med Phys
Lapaeva M, La Greca Saint-Esteven A, Wallimann P, Andratschke N, Guckenberger M, Günther M, Tanadini-Lang S, Dal Bello R.   +7 more
europepmc   +1 more source