Results 141 to 150 of about 66,688 (323)

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

open access: yesAdvanced Intelligent Systems, EarlyView.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan   +3 more
wiley   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

open access: yesAdvanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He   +3 more
wiley   +1 more source

2D magnetic field warp reversal in images taken with DIXI (dilation x-ray imager)

open access: green, 2013
S. R. Nagel   +11 more
openalex   +2 more sources

Disruption of the Blood–Brain Barrier Predicts Progression of Cerebral Small Vessel Disease White Matter Hyperintensities

open access: yesAnnals of Neurology, EarlyView.
Objective The objective of this study was to test if blood–brain barrier (BBB) disruption, detected using dynamic susceptibility contrast (DSC) imaging, would predict progression of white matter hyperintensities (WMHs) over the subsequent year in patients with chronic cerebrovascular disease. Methods The study included patients with a history of stroke
Richard Leigh   +4 more
wiley   +1 more source

Individualized Atrophy‐Based Prediction of Dementia Progression in Familial Frontotemporal Lobar Degeneration With Bayesian Linear Mixed‐Effects Modeling

open access: yesAnnals of Neurology, EarlyView.
Objective Age of symptom onset is highly variable in familial frontotemporal lobar degeneration (f‐FTLD). Accurate prediction of onset would inform clinical management and trial enrollment. Prior studies indicate that individualized maps of brain atrophy can predict conversion to dementia in f‐FTLD.
Shubir Dutt   +82 more
wiley   +1 more source

Texture Segmentation and Contour Extraction of Warp Knitting Jacquard Fabric Image

open access: hybrid, 2012
Yang Zhang, You Cheng Tong, Jun Yao
openalex   +1 more source

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