Chris Schwemmer
Journal of applied physiology · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Chris Schwemmer trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal (in Representation & Self-Supervised Learning)
- Yoshua Bengio (in Representation & Self-Supervised Learning)
Papers from Chris Schwemmer's perspective
Ordered by how strongly the researchers Chris Schwemmer trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Deep Architectures for AI
- Pattern Recognition and Machine Learning
- Comprehensive assessment of coronary artery stenoses: computed tomography coronary angiography versus conventional coronary angiography and correlation with fractional flow reserve in patients with… (Journal of the American College of Cardiology)
- Diagnostic Accuracy of Fractional Flow Reserve From Anatomic CT Angiography (Journal of the American Medical Association (JAMA))
- Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW… (Journal of the American College of Cardiology)
- Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: scientific basis. (Journal of the American College of Cardiology)
- Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. (New England Journal of Medicine)
- Numerical Simulation and Experimental Validation of Blood Flow in Arteries with Structured-Tree Outflow Conditions (Annals of Biomedical Engineering)
- Development and validation of a new adenosine-independent index of stenosis severity from coronary wave-intensity analysis: results of the ADVISE (ADenosine Vasodilator Independent Stenosis… (Journal of the American College of Cardiology)
- Coronary Artery Wall Shear Stress Is Associated With Progression and Transformation of Atherosclerotic Plaque and Arterial Remodeling in Patients With Coronary Artery Disease (Circulation)
Their papers
- Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve: Result From the MACHINE Consortium (2018) — 341 citations
- A machine-learning approach for computation of fractional flow reserve from coronary computed tomography. (2016) — 380 citations