Results 211 to 220 of about 144,122 (300)

An Explainable Self‐Supervised Temporal Transformer for Participant‐Level Classification of Depressive Symptoms From Resting‐State EEG

open access: yesInternational Journal of Methods in Psychiatric Research, Volume 35, Issue 4, December 2026.
ABSTRACT Background Resting‐state electroencephalography (EEG) has emerged as a promising non‐invasive modality for investigating depressive symptoms; however, conventional deep‐learning methods often require large labeled datasets and provide limited interpretability.
Pushpamala Ramaiah   +10 more
wiley   +1 more source

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 6, Page 2795-2802, December 2026.
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman   +10 more
wiley   +1 more source

ArteryX: A Reliable End‐To‐End Toolbox for Standardized Intracranial Artery Feature Extraction From 3D TOF‐MRA

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 6, Page 2914-2924, December 2026.
ABSTRACT Cerebrovascular research heavily relies on quantitative analysis of intracranial arteries from time‐of‐flight magnetic resonance angiography (TOF‐MRA), yet existing processing pipelines remain limited by inconsistent artery labeling and a high manual correction burden.
Abrar Faiyaz   +3 more
wiley   +1 more source

Seed Storage Conditions for Zostera muelleri Restoration: Effects of Temperature, Salinity and Sterilisation on Seed Contamination, Viability and Seedling Emergence

open access: yesNew Zealand Journal of Marine and Freshwater Research, Volume 60, Issue 4, December 2026.
The decline of seagrass meadows is a continuing global concern, and seed‐based restoration provides a scalable approach to recovering lost and degraded meadows. Such approaches require large quantities of seed to be collected, processed, and often stored for months until deployment.
Kelsie J. Fractal   +4 more
wiley   +1 more source

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