Results 191 to 200 of about 55,056 (264)

KeyCap3D: Keyword-Guided 3D Medical Image Captioning with Cross-Attention. [PDF]

open access: yesMethodsX
Supriyanto S   +5 more
europepmc   +1 more source

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals

open access: yesMagnetic Resonance in Medicine, EarlyView.
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

A Case of Distal Hereditary Motor Neuronopathy‐7 With Two Novel VWA1 Variants in Compound Heterozygosity

open access: yesNeurology and Clinical Neuroscience, EarlyView.
ABSTRACT Distal hereditary motor neuronopathy‐7 (HMNR7) is an autosomal recessive VWA1‐related disorder characterized predominantly by distal motor involvement. A 41‐year‐old man with a history of childhood orthopedic surgery for foot deformities exhibited progressive distal weakness and muscle atrophy with lower limb predominance. Electrophysiological
Toshiyuki Kakumoto   +4 more
wiley   +1 more source

Where were all the trees? Computer vision meets landscape history to unlock the potential of historical Ordnance Survey maps

open access: yesPeople and Nature, EarlyView.
Abstract The first edition of the Ordnance Survey's 1:2500 County Series is marked with treed areas, such as woodlands and orchards, and, remarkably, freestanding trees. Consequently, it is an unparalleled source of information on the distribution of trees across Britain in the mid‐late nineteenth century, when the maps were first surveyed. In order to
Toby Pillatt, William A. P. Smith
wiley   +1 more source

Similarity‐Driven Framework for Efficient Polymer Property Prediction Under Data Scarcity Scenarios

open access: yesJournal of Polymer Science, EarlyView.
A new approach, based on structural and chemical similarities between polymers, is proposed to improve the performance of artificial neural networks in predicting the glass transition temperature under data‐scarce conditions. ABSTRACT Predicting polymer properties directly from chemical structure is essential for the rational design of advanced ...
Amaia Elizaran Mendarte   +1 more
wiley   +1 more source

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang   +4 more
wiley   +1 more source

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