Results 121 to 130 of about 557,874 (331)

RefineCatDiff: Toward High‐Quality Medical Image Segmentation via a Categorical Diffusion Refinement Framework

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu   +8 more
wiley   +1 more source

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin   +9 more
wiley   +1 more source

Real‐Time Visualisation of Reaction Kinetics and Dynamics: Single‐Molecule Insights into the Iminium‐Catalysed Diels–Alder Reaction

open access: yesAngewandte Chemie, EarlyView.
Optical microscopy is commonly used to observe simple turn‐on/off phenomena in chemical reactions. A method is presented for the real‐time monitoring of diverse reaction pathways at the single‐molecule level using optical microscopy. This technique enables detailed kinetic and dynamic studies to be performed, providing new insights into catalyst design
Minsoo Park   +7 more
wiley   +2 more sources

Stochastic models of population growth

open access: yesMathematical Biosciences and Engineering
We considered three types of stochastic models of a single population growth: with diffusion-type noise; with parameters replaced by stochastic processes; and with random jumps describing a sudden decrease in population size.
Katarzyna Pichór, Ryszard Rudnicki
doaj   +1 more source

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

open access: yesAdvanced Intelligent Systems, EarlyView.
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani   +2 more
wiley   +1 more source

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