Results 111 to 120 of about 21,730 (245)

Inter‐Shot Motion Correction of Segmented 3D‐GRASE ASL Perfusion Imaging With Self‐Navigation and CAIPI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1557-1571, October 2026.
ABSTRACT Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter‐shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self‐navigated inter‐shot motion correction method for segmented 3D‐GRASE ASL imaging with ...
Minhao Hu, Frederik J. Lange, Peter Jezzard, Joseph G. Woods, Mark Chiew, Thomas W. Okell   +5 more
wiley   +1 more source

The use and methodological reporting of large language models in qualitative research: a scoping review. [PDF]

BMC Med Res Methodol
Kempny C, Frings J, Rust P, Meister S, Fehring L.   +4 more
europepmc   +1 more source

Methods for Uncertainty Quantification in Dictionary Matching to Advance Reliability of Quantitative MRI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1956-1971, October 2026.
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner, Ute Goerke, Eze Ahanonu, Kevin Johnson, Vibhas Deshpande, Holden H. Wu, Maria I. Altbach, Ali Bilgin   +7 more
wiley   +1 more source

Digital Twin-Enabled Waveform Optimization for VHF Radio Communication Systems. [PDF]

Sensors (Basel)
Zhong C, Liu B, Zhu W, Wang B, Tan Y, Wang X.   +5 more
europepmc   +1 more source

Zero‐Shot Self‐Supervised Learning of Single Breath‐Hold Magnetic Resonance Cholangiopancreatography (MRCP) Reconstruction

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1666-1681, October 2026.
ABSTRACT Purpose To investigate the feasibility of zero‐shot self‐supervised learning reconstruction for reducing breath‐hold times in magnetic resonance cholangiopancreatography (MRCP). Methods Breath‐hold MRCP was acquired from 11 healthy volunteers on 3T scanners using an incoherent k‐space sampling pattern, leading to a 14‐s acquisition time and an
Jinho Kim, Marcel Dominik Nickel, Florian Knoll   +2 more
wiley   +1 more source

Blind recognition of channel codes based on dual-branch feature fusion convolutional neural networks. [PDF]

Sci Rep
Ma Y, Lei Y, Liu C, Wang W, Teng F, Peng C, Jin H, Feng H, Zhang M, Pan Y.   +9 more
europepmc   +1 more source

Artificial Intelligence Resources for the Screening of Titles and Abstracts in Systematic Reviews: A Scoping Review

Cochrane Evidence Synthesis and Methods, Volume 4, Issue 5, September 2026.
ABSTRACT Introduction Artificial intelligence (AI) is a branch of technology enabling machines to emulate complex human skills; it can also entail problem‐solving using bioinspired methods. It is used for automating systematic literature reviews (SLR), that is, defining a clinical question, locating relevant literature, preliminary screening, study ...
Ana M. Barragán, Sara Elena Ortiz Bonett, Eliana‐Isabel Rodríguez‐Grande, Alvaro David Orjuela‐Cañón, Oscar J. Perdomo, Guillermo Sánchez‐Vanegas   +5 more
wiley   +1 more source

LLMs outperform outsourced human coders on complex textual analysis. [PDF]

Sci Rep
Bermejo VJ, Gago A, Gálvez RH, Harari N.   +3 more
europepmc   +1 more source

Time‐Conditioned Zero‐Shot Self‐Supervised Reconstruction for Accelerated 3D Ultra‐Low‐Field MRI

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1303-1312, September 2026.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI provides a cost‐effective, portable imaging option but has relatively low SNR and long acquisition times compared to standard clinical scans. This study presents a time‐conditioned zero‐shot self‐supervised learning image reconstruction framework (ULF‐ZS‐SSL) to accelerate 3D‐acquired single‐coil ULF MRI ...
Mart W. J. van Straten, Beatrice Lena, Chloé Najac, Ruben van den Broek, Peter Börnert, Andrew Webb, Yiming Dong   +6 more
wiley   +1 more source

ChatGPT-5 versus other mainstream large language models in core diabetic retinopathy patient queries. [PDF]

Front Cell Dev Biol
Cang X, Ni M, Song C, Zhao J, Guo Y, Zou Y, Zhang Z, Jiang L.   +7 more
europepmc   +1 more source