Results 151 to 160 of about 2,563,053 (365)
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding +5 more
wiley +1 more source
The role of semantic knowledge in retrieval from episodic long-term memories: Implications for a model of retrieval [PDF]
Jane Perlmutter +2 more
openalex +1 more source
Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang +5 more
wiley +1 more source
We tested the notion that patients at high risk for progression to Alzheimer's disease (AD) display relatively isolated memory deficits by assessing the relationship between memory and fluency performances in a sample of 92 geriatric subjects with ...
Maria E. Cottingham, Keith A. Hawkins
doaj +1 more source
Definite descriptions and semantic memory [PDF]
Andrew Ortony, Richard C. Anderson
openalex +1 more source
A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad +8 more
wiley +1 more source
Semantically cued retrieval of words from long-term memory [PDF]
David J. Murray
openalex +1 more source
A conceptual space for episodic and semantic memory
D. Rubin
semanticscholar +1 more source
This article introduces EndoARSS, a novel multitask learning framework that combines surgical activity recognition and semantic segmentation for endoscopic surgery. Utilizing the foundation model with novel modules like task efficient shared low‐rank adapters and spatially aware multiscale attention, EndoARSS can effectively tackle challenges in ...
Guankun Wang +5 more
wiley +1 more source
Mounting evidence from both cognitive and neuropsychological research points to the importance of conceptual and lexical-semantic contributors to short-term memory performance.
Alaitz Aizpurua, Wilma Koutstaal
doaj +1 more source

