Results 51 to 60 of about 216,728 (139)

Calibration‐Free Estimation of Cerebrovascular Reactivity From Resting‐State BOLD fMRI Using Reconstructed Respiratory Fluctuations

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 6, Page 2755-2766, December 2026.
ABSTRACT Purpose Cerebrovascular reactivity (CVR) provides an important index of vascular health and is conventionally quantified using a hypercapnic gas or breath‐hold challenge in conjunction with blood‐oxygen‐level‐dependent functional magnetic resonance imaging (BOLD‐fMRI).
Abdoljalil Addeh   +9 more
wiley   +1 more source

Group‐Patch Joint Compression: Compressing Dynamic B0 and Static RF Spatial Modulations Across k‐Space Subregion Groups for Highly Accelerated MRI

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2106-2126, November 2026.
ABSTRACT Purpose To accelerate MRI further, rapid B0 field modulations can be applied during oversampled readout to capture additional physical information, as in Wave‐CAIPI/FRONSAC/local B0 coils modulation techniques. These methods, however, turn the Fourier readout into a non‐Fourier‐encoded dimension that cannot be reconstructed by FFT, posing ...
Rui Tian, Klaus Scheffler
wiley   +1 more source

View Order With Arbitrary Center Echoes

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2127-2139, November 2026.
ABSTRACT Purpose To provide explicit, vendor‐independent view‐order constructions that enable selection of an arbitrary center echo in multi‐shot imaging, with a focus on RARE and MPRAGE. Methods Vendor‐independent view‐order methods were developed to assign echo and shot indices to a prescribed set of phase encodes, enabling explicit selection of the ...
Henric Rydén   +4 more
wiley   +1 more source

Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding

open access: yesMagnetic Resonance in Medicine, Volume 96, Issue 5, Page 2516-2529, November 2026.
ABSTRACT Purpose Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative imaging, but high‐resolution 3D reconstructions remain computationally expensive due to the NUFFTs required at every iteration, and the commonly used Locally Low Rank (LLR) regularization becomes ineffective at high acceleration.
Yonatan Urman   +4 more
wiley   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, Volume 13, Issue 55, 5 October 2026.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

A Unified Flash Memory Platform for Mode‐Adaptive and Robust AI Computation

open access: yesAdvanced Science, Volume 13, Issue 56, 9 October 2026.
A unified AND‐type flash memory platform enables both transistor‐mode and capacitor‐mode computing‐in‐memory operations within the same device structure. By selectively switching the sensing mode through peripheral reconfiguration, the platform provides adaptable trade‐offs between computational accuracy, robustness, and energy efficiency for AI ...
Dayeon Yu   +6 more
wiley   +1 more source

Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels

open access: yesAdvanced Science, Volume 13, Issue 56, 9 October 2026.
Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You   +15 more
wiley   +1 more source

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

open access: yesMagnetic 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   +5 more
wiley   +1 more source

IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks

open access: yesCoRR, 2018
In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels. In addition to structured sparse kernels, low-rank kernels and the product of low-rank kernels, the product of structured sparse kernels, which is a framework for interpreting the ...
Guotian Xie   +5 more
openaire   +3 more sources

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