Results 171 to 180 of about 27,491 (265)

Synthesis of Amyloid Images Using a Generative Adversarial Network from 2-Dimensional ¹⁸F-FDG Images and Evaluation for Clinical Use. [PDF]

J Nucl Med Technol
Honda M, Yamada T, Watanabe S, Watanabe A, Nagaoka T, Nemoto M, Mikami K, Hanaoka K, Kaida H, Handa H, Ishii K, Kimura Y.   +11 more
europepmc   +1 more source

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting knee osteoarthritis (KOA) progression from medical imaging. Methods Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science (inception to June 2026) for peer‐reviewed studies ...
Amna Gillani, Rüdiger von Eisenhart‐Rothe, Klaus Woertler, Michael T. Hirschmann, Daniel Rueckert, Florian Hinterwimmer   +5 more
wiley   +1 more source

Boundary-aware dual-discriminator generative adversarial network for data augmentation in financial transaction fraud detection. [PDF]

PLoS One
Zhu H, Wang Z, Xie Y, Yao J.
europepmc   +1 more source

Harnessing Aggregation‐Induced Emission for Advanced Disease Diagnosis: Mechanisms, Strategies and Future Perspectives

Medicine Bulletin, EarlyView.
The figure was created in BioRender.com. ABSTRACT Accurate and early diagnosis remains a key challenge in modern disease management. Conventional diagnostic methods often suffer from limitations in sensitivity, spatial resolution, and practical usability.
Zizhuo Du, Li Song, Xingrui Chen, Jun Jing, Yingchen Wang, Yue Jiang, Jiahui Gao, Dan Li, Feiran Xie, Peihong Xiao, Ben Zhong Tang   +10 more
wiley   +1 more source

A Morphology-Guided Conditional Generative Adversarial Network for Rapid Prediction of Hazard Gas Dispersion Field in Complex Urban Environments. [PDF]

Sensors (Basel)
Li Z, Li S.
europepmc   +1 more source

Gender, Stereotypes, and Competitive Performance Gap: An Experimental Investigation

Managerial and Decision Economics, EarlyView.
ABSTRACT This study investigates how participants in competition react to gender stereotypes in performance. We propose two novel gender‐oriented tasks: clicking as a male‐oriented task and face recall as a female‐oriented task with two treatment conditions, which can strengthen shared gender stereotypes and foster gender competition.
Jaesun Lee, Ming Jiang, SeEun Jung
wiley   +1 more source

Image super-resolution method using a generative adversarial network incorporating attention and residual density. [PDF]

Sci Rep
Zhang Q, Hang Y, Zhang H, Lu X, Qiu J.
europepmc   +1 more source

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

Medicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

A bias field correction workflow based on generative adversarial network for abdominal cancers treated with 0.35T MR-LINAC. [PDF]

J Appl Clin Med Phys
Yang CC, Yang HT.
europepmc   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source