Results 181 to 190 of about 1,461,923 (295)

Spectral clustering identifies patterns of chiropractic care in a national longitudinal cohort. [PDF]

JAMIA Open
Ray M, Fang SY, Lisi AJ, Romano PS.
europepmc   +1 more source

Hierarchical spectral clustering reveals brain size and shape changes in asymptomatic carriers of <i>C9orf72</i>. [PDF]

Brain Commun, 2022
Bruffaerts R, Gors D, Bárcenas Gallardo A, Vandenbulcke M, Van Damme P, Suetens P, van Swieten JC, Borroni B, Sanchez-Valle R, Moreno F, Laforce R, Graff C, Synofzik M, Galimberti D, Rowe JB, Masellis M, Tartaglia MC, Finger E, de Mendonça A, Tagliavini F, Butler CR, Santana I, Gerhard A, Ducharme S, Levin J, Danek A, Otto M, Rohrer JD, Dupont P, Claes P, Vandenberghe R, Genetic Frontotemporal dementia Initiative (GENFI) .   +31 more
europepmc   +1 more source

A Probabilistic Approach for Optimizing Spectral Clustering

, 2005
Spectral clustering enjoys its success in both data clustering and semisupervised learning. But, most spectral clustering algorithms cannot handle multi-class clustering problems directly.
Rong Jin, Feng Kang, Chris Ding
core  

Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit, Aime Luna, Bradley Judge, Nicole Shelley, Karl Friedrichsen, Jayashree Rajamanickam, Zhude Tu, Yong Wang, Tammie L. S. Benzinger, Qing Wang, Matthew R. Brier   +10 more
wiley   +1 more source

Spectral Clustering with Likelihood Refinement for High-Dimensional Latent Class Recovery. [PDF]

Psychometrika
Lyu Z, Gu Y.
europepmc   +1 more source

Corrigendum: Spectral Clustering Algorithm for Cognitive Diagnostic Assessment. [PDF]

Front Psychol, 2021
Guo L, Yang J, Song N.
europepmc   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Robust thalamic nuclei segmentation using spectral clustering of fiber orientation distributions. [PDF]

PLoS One
Das D, Iglehart C, Bilgin A, Saranathan M.   +3 more
europepmc   +1 more source

Acoustic Emission Signal Characterisation of Failure Mechanisms in CFRP Composites Using Dual-Sensor Approach and Spectral Clustering Technique. [PDF]

Polymers (Basel), 2022
Šofer M, Šofer P, Pagáč M, Volodarskaja A, Babiuch M, Gruň F.   +5 more
europepmc   +1 more source

Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki, Alireza Amindarolzarbi, Tsion Abdi, John Clarke, Michael Hughes, Ami A. Shah, Zsuzsanna H. McMahan   +6 more
wiley   +1 more source