Results 141 to 150 of about 56,033 (246)

Deep Learning Reconstruction Enables Diagnostic‐Quality 0.4T Knee and Spine MRI in One‐Third of the Time

open access: yesNMR in Biomedicine, Volume 39, Issue 5, May 2026.
The deep learning model CIRIM successfully accelerated knee and spine data up to an acceleration factor of 3, after optimizing the undersampling mask and loss function. The model demonstrated robustness and generalizability to different contrasts, matrix sizes, orientations, and anatomies. ABSTRACT There has been a growing interest in low‐field MRI due
Daisy M. van den Berg   +9 more
wiley   +1 more source

DEEP‐DISORDER: Motion Correction in 3D MRI via Segment Reconstruction and Registration

open access: yesNMR in Biomedicine, Volume 39, Issue 5, May 2026.
This work presents a retrospective motion correction framework for 3D MRI. A motion‐corrupted acquisition is split into tiny k‐space segments, and for each a neural network reconstructs a rough anatomical image. These reconstructions are aligned using groupwise registration, yielding one set of estimated motion parameters per segment.
Laurens Beljaards   +7 more
wiley   +1 more source

AI‐Enabled Imaging for Pathogen Detection Under Stress Conditions: A Systematic Review

open access: yesComprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 3, May 2026.
ABSTRACT Advances in pathogen detection that incorporate artificial intelligence (AI) may capture microbial signals under challenging environmental conditions that traditional methods miss. This systematic review evaluates the application, performance, and methodological characteristics of AI‐enabled imaging for pathogen detection, including its impact
MeiLi Papa   +3 more
wiley   +1 more source

Short‐Term Forecasting of Cloud Physical Properties Based on Fourier Neural Operator Method

open access: yesGeophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract Accurately understanding the evolution and development of cloud physical properties (CPP) in advance is crucial for extreme weather forecasting and early warning. This study utilized the Fourier neural operator (FNO) method to develop a short‐term forecasting model of Cloud (Cloud‐FNO).
Feng Zhang   +9 more
wiley   +1 more source

GAN-based bone suppression using a combined loss function. [PDF]

open access: yesFront Artif Intell
Jochymek L   +3 more
europepmc   +1 more source

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