The Effect of Voxel Volume and Voxel Shape on Cardiac Diffusion Tensor Imaging Metrics
Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2063-2077, April 2026.ABSTRACT Purpose Cardiac diffusion tensor imaging (cDTI) is signal‐to‐noise ratio (SNR)‐limited due to diffusion signal attenuation, long echo times from gradient moment nulling, and moderate myocardial T 2$$ {}_2 $$. Increasing voxel volume improves SNR but reduces spatial sensitivity and introduces physiological bias.
Ariel J. Hannum +3 more
wiley +1 more source
Reference-guided MRI super-resolution with dual attention aggregation network. [PDF]
Front NeurolWang L, Chang T, Tan L, Shi B, Zhu Y.
europepmc +1 more source
Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2078-2091, April 2026.ABSTRACT Purpose To demonstrate the feasibility of a novel dual‐phase self‐navigated, free‐breathing balanced steady‐state free‐precession whole‐heart MRA acquisition for aortic annulus size measurement using a Cartesian trajectory that mitigates eddy‐current artifacts by minimizing k‐space jumps between consecutive readouts with predictable scan times.
Tassia Ribeiro Salles Moura +11 more
wiley +1 more source
Systemic stomatal immunity: the beacon of fire and smoke in plant disease resistance. [PDF]
Adv Biotechnol (Singap)Liu C, Yu Q, Song S, Qi T.
europepmc +1 more source
Efficient Kilometer‐Scale Precipitation Downscaling With Conditional Wavelet Diffusion
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Precipitation products such as Integrated Multi‐satellitE Retrievals have coarse resolution (∼10 ${\sim} 10$ km), which limits their application in hydrological modeling and extreme weather analysis. We propose the Wavelet Diffusion Model (WDM), a fast generative framework for high‐quality precipitation downscaling trained on multi‐radar multi‐
Chugang Yi +4 more
wiley +1 more source
Adaptive fusion based deep learning framework for restoring underwater image quality using multi scale attention features. [PDF]
Sci RepVeeramakali T, Sayeed MS, Yogarayan S.
europepmc +1 more source
Dynamic video rate adaptation based on pre-congestion notification [PDF]
, 2012 De Turck, Filip, Latré, Steven
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GeoFWI: A Large Velocity Model Data Set for Benchmarking Full Waveform Inversion Using Deep Learning
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Full waveform inversion (FWI) plays an increasingly important role in the field of seismic imaging due to its strong ability to estimate subsurface properties. Specifically, data‐driven FWI (DDFWI) establishes a straightforward mapping relationship between seismic data and the corresponding velocity model, yielding promising results.
Chao Li +5 more
wiley +1 more source
CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosis. [PDF]
Front NeuroinformShahrokhi S +3 more
europepmc +1 more source
Principled Fourier Neural Operators for High‐Resolution Regional Ocean Modeling
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Reliable and computationally efficient ocean state forecasts are essential for climate resilience, maritime safety, and science‐to‐decision applications. Growing demand has stimulated interest in machine learning approaches as scalable complements to traditional numerical models.
Vahidreza Jahanmard +4 more
wiley +1 more source