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The Rise of AI-Driven Simulators: Building a New Crystal Ball
ArXiv Preprint
Ian Foster, David Parkes, Stephan Zheng
2020-12-11

Deep learning reveals 3D atherosclerotic plaque distribution and composition.
In Scientific reports ; h5-index 158.0
Jurtz Vanessa Isabell, Skovbjerg Grethe, Salinas Casper Gravesen, Roostalu Urmas, Pedersen Louise, Hecksher-Sørensen Jacob, Rolin Bidda, Nyberg Michael, van de Bunt Martijn, Ingvorsen Camilla
2020-Dec-09

A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs.
In Scientific reports ; h5-index 158.0
Tavakkoli Alireza, Kamran Sharif Amit, Hossain Khondker Fariha, Zuckerbrod Stewart Lee
2020-Dec-09

Multidimensional machine learning algorithms to learn liquid velocity inside a cylindrical bubble column reactor.
In Scientific reports ; h5-index 158.0
Babanezhad Meisam, Marjani Azam, Shirazian Saeed
2020-Dec-09
Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system.
In Scientific reports ; h5-index 158.0
Rechtman Elza, Curtin Paul, Navarro Esmeralda, Nirenberg Sharon, Horton Megan K
2020-Dec-09
Feasibility of Deep Learning Algorithms for Reporting in Routine Spine Magnetic Resonance Imaging.
In International journal of spine surgery
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
LEVEL OF EVIDENCE :
CLINICAL RELEVANCE :
LewandrowskI Kai-Uwe, Muraleedharan Narendran, Eddy Steven Allen, Sobti Vikram, Reece Brian D, Ramírez León Jorge Felipe, Shah Sandeep
2020-Dec
artificial intelligence, deep neural network learning, feasibility analysis, magnetic resonance imaging, spinal pathologies
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