Results 201 to 210 of about 19,585 (258)

Variational quantum generative modeling by sampling expectation values of tunable observables. [PDF]

npj Quantum Inf
Shen K, Kurkin A, Pérez-Salinas A, Shishenina E, Dunjko V, Wang H.   +5 more
europepmc   +1 more source

MR Spectroscopy Without Water Suppression Using the Gradient Impulse Response Function

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Non‐water‐suppressed proton spectroscopy, 1H‐MRS, is desirable, as retaining the strong water resonance can facilitate automated online data corrections, internal concentration referencing, and monitoring of line narrowing effects in functional MRS.
James B. Bacon, Peter Jezzard, William T. Clarke   +2 more
wiley   +1 more source

Predictive multispecies constraint-based metabolic modeling: case studies and best practices. [PDF]

Brief Bioinform
Kaste JAM, Matthews ML.
europepmc   +1 more source

DeepRelaxo: Fast Mono‐Exponential Magnitude Brain R2* Mapping With Reduced Echoes Using Self‐Supervised Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima, Zhuang Xiong, Alan H. Wilman, Hongfu Sun   +3 more
wiley   +1 more source

QuPepFold: A python package for hybrid quantum-classical protein folding simulations with CVaR-optimized VQE. [PDF]

PLoS One
Uttarkar A, Niranjan V, Saxena A, Kumar V.   +3 more
europepmc   +1 more source

Ultrafast fMRI Detects Age‐Related Changes in Harmonics of Cardiac Pulsations in the Brain at 7 T

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Aging impacts pulsatility of blood vessels in the brain, reflecting vascular health. Resolving characteristics of cardiac pulsatility requires faster acquisitions than traditional fMRI. An ultrafast fMRI method was developed and applied to sample several harmonics of cardiac pulsations at 7 T.
Charles Marchini, Dema Abdelkarim, Yuhui Chai, Monica Fabiani, Gabriele Gratton, Bradley P. Sutton   +5 more
wiley   +1 more source

Architecting three-dimensional reconfigurable matter from pop-up kirigami with programmable multistability. [PDF]

Sci Adv
Zhou T, Huang C, Zhao H, Liu J, Liu K, Chen D, Li Y.   +6 more
europepmc   +1 more source

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near, Mark Chiew, Simon J. Graham   +5 more
wiley   +1 more source

DVS-PedX: Synthetic-and-Real Event-Based Pedestrian Dataset. [PDF]

Sci Data
Sakhai M, Sithu K, Oke MKS, Wielgosz M.
europepmc   +1 more source

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

Magnetic Resonance in Medicine, EarlyView.
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