Results 151 to 160 of about 60,468 (320)

Comprehensive 4D Parallel Transmission Spatial‐Spectral Pulse Design for Slab‐Selective Uniform Water‐Selective Excitation: Demonstration in the Human Brain at 7 Tesla

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 4, Page 2052-2062, April 2026.
ABSTRACT Purpose To propose a new parallel transmission (pTx) spatial‐spectral (SPSP) pulse design for achieving slab‐selective uniform water‐selective excitation without unwanted out‐of‐slab fat excitation when using bipolar slab‐selective gradients to maintain a sharp slab profile.
Xin Shao   +5 more
wiley   +1 more source

Overlap‐Kernel EPI: Estimating MRI Shot‐to‐Shot Phase Variations by Shifted‐Kernel Extraction From Overlap Regions at Arbitrary k‐Space Locations

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 4, Page 2131-2152, April 2026.
ABSTRACT Purpose In multi‐shot EPI, shot‐dependent phase fluctuations can introduce ghost artifacts, undermining advantages for enhancing resolution or reducing distortion, particularly in diffusion scans. Here, a novel self‐navigation strategy based on shift‐invariant kernel extraction is proposed, enabling robust estimation of phase inconsistencies ...
Rui Tian   +3 more
wiley   +1 more source

Multi‐Frame Image Registration for Automated Ventricular Function Assessment in Single Breath‐Hold Cine MRI Using Limited Labels

open access: yesMagnetic Resonance in Medicine, Volume 95, Issue 3, Page 1762-1777, March 2026.
ABSTRACT Purpose This study aims to develop an automated framework for operator‐independent assessment of cardiac ventricular function from highly accelerated images. Methods We introduce a deep learning framework that generates reliable ventricular volumetric parameters and strain measures from fully sampled and retrospectively accelerated MR images ...
Aya Ghoul   +7 more
wiley   +1 more source

A survey of downstream applications of evolutionary scale modeling protein language models

open access: yesQuantitative Biology, Volume 14, Issue 1, March 2026.
Abstract The evolutionary scale modeling (ESM) series is promising to revolutionize protein science and engineering through large language models (LLMs), providing a robust framework for understanding the relationships among sequences, structures, and functions of proteins.
Qingyu Yang, Jiale Yu, Jie Zheng
wiley   +1 more source

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