Results 241 to 250 of about 497,808 (317)

Enhance decoding of lower limb motor imagery‐electroencephalography patterns by Riemannian clustering

Interdisciplinary Medicine, EarlyView.
Abstract Brain‐Computer Interface (BCI) based on motor imagery (MI) has attracted great interest as a new rehabilitation method for stroke. Riemannian geometry‐based classification algorithms are widely used in MI‐BCI due to their strong robustness and generalization capabilities.
Xinwei Sun, Tuo Liu, Kun Wang, Lincong Pan, Lin Meng, Xinmin Ding, Weibo Yi, Minpeng Xu, Dong Ming   +8 more
wiley   +1 more source

Multiple CR Spatiotemporal Compressive Imaging System. [PDF]

Sensors (Basel)
Hao X, Zhao D, Ke J.
europepmc   +1 more source

Generative artificial intelligence in medical imaging: Current landscape, challenges, and future directions

Interdisciplinary Medicine, EarlyView.
This review explores the applications of Generative AI (GAI) in medical imaging, with emphasis on its potential to enhance AI training and personalized medicine. The study comprehensively examines frameworks for evaluating the validity of GAI‐generated images while identifying critical challenges including model bias, data augmentation reliability, and
Wenle He, Xuewei Wu, Zhe Jin, Jie Sun, Xiaofeng Jiang, Shuixing Zhang, Bin Zhang   +6 more
wiley   +1 more source

Self-Supervised Learning with Adaptive Frequency-Time Attention Transformer for Seizure Prediction and Classification. [PDF]

Brain Sci
Huang Y, Chen Y, Xu S, Wu D, Wu X.
europepmc   +1 more source

Lung DC‐T immunity hub in immune surveillance: new concepts and future directions

Cancer Communications, Volume 45, Issue 3, Page 209-214, March 2025.
Juan Liu, Boyi Cong, Xuetao Cao
wiley   +1 more source

Shining a Light on the Future of Biophotonics

Journal of Biophotonics, EarlyView.
ABSTRACT Biophotonics—the interdisciplinary fusion of light‐based technologies with biology and medicine—is rapidly transforming research, diagnostics, and therapy across various domains. This white paper, developed in conjunction with the International Congress on Biophotonics 2024, offers a comprehensive overview of the current landscape and future ...
Francesco Baldini, Kishan Dholakia, Paul French, Orlando Guntinas‐Lichius, Achim Kohler, Werner Mäntele, Laura Marcu, Ronald Sroka, Siva Umapathy, Juergen Popp   +9 more
wiley   +1 more source

Multi-Scale Spatiotemporal Feature Enhancement and Recursive Motion Compensation for Satellite Video Geographic Registration. [PDF]

J Imaging
Geng Y, Lv J, Huang S, Wang B.
europepmc   +1 more source

Humans exhibit associative symmetry in the absence of backward training and stimulus overlap

Journal of the Experimental Analysis of Behavior, EarlyView.
Abstract A recent survey of the evidence on associative symmetry in humans revealed that nearly all the demonstrations either unintentionally trained backward stimulus pairings and/or had a temporal overlap between the stimuli being trained. We consider these criticisms and improve on our own method of “associative networks.” In this method ...
Victor M. Navarro, Edward A. Wasserman
wiley   +1 more source

Multi-scale convolutional transformer network for motor imagery brain-computer interface. [PDF]

Sci Rep
Zhao W, Zhang B, Zhou H, Wei D, Huang C, Lan Q.   +5 more
europepmc   +1 more source

Five foundational tools for managing metadata from the USDA Long‐Term Agroecosystem Research (LTAR) Network

Journal of Environmental Quality, EarlyView.
Abstract The United States Department of Agriculture Long‐Term Agroecosystem Research (LTAR) Network comprises 19 sites and has collectively produced nearly one petabyte of data. Data include time‐series measurements, remotely sensed imagery, and high‐throughput environmental data from field and laboratory instrumentation.
Nicole E. Kaplan, Gerardo Armendariz, Shefali Azad, Bryan R. Carlson, William A. White, Lori J. Abendroth, Alisa W. Coffin, Vanessa S. Gordon, Jude E. Maul, William Osterholz, Jonathan Sears   +10 more
wiley   +1 more source