Results 181 to 190 of about 573,498 (278)

Early Autonomic Burden in Prodromal Parkinson's Disease Predicts Cognitive Impairment

Movement Disorders, EarlyView.
Abstract Background Autonomic dysfunction is a known contributor to cognitive impairment in Parkinson's disease (PD), but its impact during prodromal stage is unknown. Objective The aim was to determine whether early autonomic burden predicts incident cognitive impairment in prodromal PD.
A. Enrique Martinez‐Nunez, Kelly A. Mills, Joseph Seemiller, Christopher B. Morrow, Gregory M. Pontone, Abhimanyu Mahajan   +5 more
wiley   +1 more source

Pseudo-HFOs Elimination in iEEG Recordings Using a Robust Residual-Based Dictionary Learning Framework. [PDF]

IEEE J Biomed Health Inform
Besheli BF, Sha Z, Ayyoubi AH, Swamy CP, Henry TR, Worrell GA, Miller KJ, Parker JJ, Darrow DP, Ince NF.   +9 more
europepmc   +1 more source

Dictionary learning allows model-free pseudotime estimation of transcriptomic data. [PDF]

BMC Genomics, 2022
Rams M, Rams M, Conrad TOF.
europepmc   +1 more source

Rosette Cardiac MR Fingerprinting for Simultaneous T1, T2, T2*$$ {\mathrm{T}}_2^{\ast } $$, and Fat Fraction Mapping Using a Multi‐Echo Deep Image Prior Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Quantitative mapping of cardiac tissue properties is used clinically in diagnosis and monitoring of a wide variety of cardiac pathologies. Cardiac Magnetic Resonance Fingerprinting (cMRF) enables rapid and simultaneous quantification of multiple parameters in the myocardium from a single scan.
Evan Cummings, Gastao Cruz, Jacob Richardson, Sydney Kaplan, Jesse Hamilton, Nicole Seiberlich   +5 more
wiley   +1 more source

Enhancing photon-counting computed tomography reconstruction via subspace dictionary learning and spatial sparsity regularization. [PDF]

Quant Imaging Med Surg
Xing Q, Cai A, Zheng Z, Li L, Yan B.
europepmc   +1 more source

Sparse dictionary learning recovers pleiotropy from human cell fitness screens. [PDF]

Cell Syst, 2022
Pan J, Kwon JJ, Talamas JA, Borah AA, Vazquez F, Boehm JS, Tsherniak A, Zitnik M, McFarland JM, Hahn WC.   +9 more
europepmc   +1 more source

Simulation‐Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M. Atlagich, Roser Sala‐Llonch, Marco Palombo, Els Fieremans, Dmitry S. Novikov, Raquel Perez‐Lopez, Francesco Grussu   +11 more
wiley   +1 more source

Mapping longitudinally consistent intrinsic connectivity networks in macaque brain via longitudinal sparse dictionary learning. [PDF]

IBRO Neurosci Rep
Zidan AH, Jahin A, Bao Y, Zhang W.
europepmc   +1 more source

Evaluation on Effect of Acupoint Application to Treat Idiopathic Edema of Perimenopausal Women Using the Segmentation Dictionary Learning Algorithm. [PDF]

Comput Intell Neurosci, 2022
Li J, Wang J, Zhao W, Wang P, Li M.
europepmc   +1 more source

Optimizing Selective RF Pulses for Enhanced Signal Stability in Turbo Spin Echo Using a Differentiable Extended Phase Graph Model

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To improve slice profile consistency across echo trains in turbo spin echo (TSE) imaging, thereby reducing image blurring and increasing the accuracy of multi echo spin echo T2$$ {T}_2 $$ mapping. Methods Excitation and refocusing RF pulses were optimized for TSE using a differentiable extended phase graph model that incorporates the ...
Madison M. Augelli, Anuj Sharma, Mark A. Griswold, William A. Grissom   +3 more
wiley   +1 more source