Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learning
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learning
Authors
Keywords
-
Journal
CARDIOVASCULAR RESEARCH
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-02-10
DOI
10.1093/cvr/cvab040
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Automated techniques for blood vessels segmentation through fundus retinal images: A review
- (2019) Shahzad Akbar et al. MICROSCOPY RESEARCH AND TECHNIQUE
- Impaired Retinal Vessel Dilation Predicts Mortality in End-Stage Renal Disease
- (2019) Roman Günthner et al. CIRCULATION RESEARCH
- Retinal microvascular dysfunction in patients with coronary artery disease with and without heart failure: a continuum ?
- (2019) Jens Barthelmes et al. EUROPEAN JOURNAL OF HEART FAILURE
- Retinal endothelial function in cardiovascular risk patients: A randomized controlled exercise trial
- (2019) Lukas Streese et al. SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS
- Declining comorbidity-adjusted mortality rates in English patients receiving maintenance renal replacement therapy
- (2018) Benjamin C. Storey et al. KIDNEY INTERNATIONAL
- Enter the Matrix: Factorization Uncovers Knowledge from Omics
- (2018) Genevieve L. Stein-O’Brien et al. TRENDS IN GENETICS
- Association of Continuation of Loop Diuretics at Hemodialysis Initiation with Clinical Outcomes
- (2018) Scott Sibbel et al. Clinical Journal of the American Society of Nephrology
- Retinal microvascular dysfunction in heart failure
- (2017) Matthias P Nägele et al. EUROPEAN HEART JOURNAL
- Altered neurovascular coupling as measured by optical imaging: a biomarker for Alzheimer’s disease
- (2017) Konstantin Kotliar et al. Scientific Reports
- A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response
- (2016) Britt Adamson et al. CELL
- Prediabetes and Type 2 Diabetes Are Associated With Generalized Microvascular DysfunctionClinical Perspective
- (2016) Ben M. Sörensen et al. CIRCULATION
- Retinal Vessel Calibers in Predicting Long-Term Cardiovascular OutcomesClinical Perspective
- (2016) Sara B. Seidelmann et al. CIRCULATION
- Development and validation of cardiovascular risk scores for haemodialysis patients
- (2016) Stefan D. Anker et al. INTERNATIONAL JOURNAL OF CARDIOLOGY
- Rationale and study design of the prospective, longitudinal, observational cohort study “rISk strAtification in end-stage renal disease” (ISAR) study
- (2016) Christoph Schmaderer et al. BMC Nephrology
- NbClust: AnRPackage for Determining the Relevant Number of Clusters in a Data Set
- (2015) Malika Charrad et al. Journal of Statistical Software
- Concordance for prognostic models with competing risks
- (2014) M. Wolbers et al. BIOSTATISTICS
- Random survival forests for competing risks
- (2014) H. Ishwaran et al. BIOSTATISTICS
- Functional Hyperemia and Mechanisms of Neurovascular Coupling in the Retinal Vasculature
- (2013) Eric A Newman JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
- Systemic Associations of Dynamic Retinal Vessel Analysis: A Review of Current Literature
- (2012) Michelle Lim et al. MICROCIRCULATION
- Robust principal component analysis?
- (2011) Emmanuel J. Candès et al. JOURNAL OF THE ACM
- Dynamic retinal vessel response to flicker in obesity: A methodological approach
- (2010) Konstantin E. Kotliar et al. MICROVASCULAR RESEARCH
- Use of the retinal vessel analyzer in ocular blood flow research
- (2009) Gerhard Garhofer et al. ACTA OPHTHALMOLOGICA
- An improved comorbidity index for outcome analyses among dialysis patients
- (2009) Jiannong Liu et al. KIDNEY INTERNATIONAL
- Random survival forests
- (2008) Hemant Ishwaran et al. Annals of Applied Statistics
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started