H. Rakowski

Cardiology and Cardiovascular Medicine · 2001–2014

A researcher in the Science corpus: 11 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Rakowski trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. B. Maron (in Cardiology and Cardiovascular Medicine)

Papers from H. Rakowski's perspective

Ordered by how strongly the researchers H. Rakowski trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Sudden death in hypertrophic cardiomyopathy: identification of high risk patients. (Journal of the American College of Cardiology)
  2. Evaluation of techniques for the quantification of myocardial scar of differing etiology using cardiac magnetic resonance. (JACC Cardiovascular Imaging)
  3. Assessment of Myocardial Fibrosis with Cardiac Magnetic Resonance (Journal of the American College of Cardiology)
  4. The histologic basis of late gadolinium enhancement cardiovascular magnetic resonance in hypertrophic cardiomyopathy. (Journal of the American College of Cardiology)
  5. 2011 ACCF/AHA guideline for the diagnosis and treatment of hypertrophic cardiomyopathy: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice… (Journal of Thoracic and Cardiovascular Surgery)
  6. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond (Statistics in Medicine)
  7. Prognostic/Clinical Prediction Models: Multivariable Prognostic Models: Issues in Developing Models, Evaluating Assumptions and Adequacy, and Measuring and Reducing Errors
  8. The International Registry of Acute Aortic Dissection (IRAD): new insights into an old disease. (Journal of the American Medical Association (JAMA))
  9. Prognostic Value of Quantitative Contrast-Enhanced Cardiovascular Magnetic Resonance for the Evaluation of Sudden Death Risk in Patients With Hypertrophic Cardiomyopathy (Circulation)
  10. Guidelines for investigating causality of sequence variants in human disease

Their papers