Graphite lubrication

RH Savage - Journal of applied physics, 1948 - pubs.aip.org
The slipperiness of graphite is not inherent in the crystal structure alone but depends upon
adsorption films, especially water, which cover the carbon atoms and provide surfaces of low …

[HTML][HTML] A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images

Z Shi, C Miao, UJ Schoepf, RH Savage… - Nature …, 2020 - nature.com
Intracranial aneurysm is a common life-threatening disease. Computed tomography
angiography is recommended as the standard diagnosis tool; yet, interpretation can be time-…

Vapor lubrication of graphite sliding contacts

RH Savage, DL Schaefer - Journal of Applied Physics, 1956 - aip.scitation.org
… The experimental results suggest roughly the empirical rule that the minimum relative ``humidity''
of a vapor for effective lubrication decreases logarithmically with chain length in the …

Coronary CT angiography–derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia

…, MH Albrecht, M van Assen, MJ Bauer, RH Savage… - European …, 2019 - Springer
Objectives We sought to investigate the diagnostic performance of coronary CT angiography
(cCTA)–derived plaque markers combined with deep machine learning–based fractional …

Artificial intelligence in the management of intracranial aneurysms: current status and future perspectives

Z Shi, B Hu, UJ Schoepf, RH Savage… - American Journal …, 2020 - Am Soc Neuroradiology
Intracranial aneurysms with subarachnoid hemorrhage lead to high morbidity and mortality.
It is of critical importance to detect aneurysms, identify risk factors of rupture, and predict …

On-Site Computed Tomography–Derived Fractional Flow Reserve to Guide Management of Patients With Stable Coronary Artery Disease: The TARGET Randomized …

…, K Wang, Y Pan, Z Wang, UJ Schoepf, RH Savage… - Circulation, 2023 - Am Heart Assoc
Background: Computed tomography–derived fractional flow reserve (CT-FFR) using on-site
machine learning enables identification of both the presence of coronary artery disease and …

A deep learning-based fully automatic and clinical-ready framework for regional myocardial segmentation and myocardial ischemia evaluation

M An, J Li, X Xu, UJ Schoepf, RH Savage… - Medical & biological …, 2023 - Springer
Myocardial ischemia diagnosis with CT perfusion imaging (CTP) is important in coronary
artery disease management. Traditional analysis procedure is time-consuming and error-prone …

Serial coronary CT angiography–derived fractional flow reserve and plaque progression can predict long-term outcomes of coronary artery disease

…, PP Xu, UJ Schoepf, C Tesche, B Pillai, RH Savage… - European …, 2021 - Springer
Objective To investigate the utility of coronary CT angiography–derived fractional flow reserve
(FFR CT ) and plaque progression in patients undergoing serial coronary CT angiography …

Feasibility of extracellular volume quantification using dual-energy CT

…, MH Eid, LP Griffith, MJ Bauer, RH Savage… - Journal of …, 2019 - Elsevier
ObjectiveTo assess the feasibility of dual energy CT (DECT) to derive myocardial extracellular
volume (ECV) and detect myocardial ECV differences without a non-contrast acquisition, …

Machine learning/deep neuronal network: routine application in chest computed tomography and workflow considerations

AM Fischer, B Yacoub, RH Savage… - Journal of Thoracic …, 2020 - journals.lww.com
The constantly increasing number of computed tomography (CT) examinations poses major
challenges for radiologists. In this article, the additional benefits and potential of an artificial …