12
Publications
1.6K
Citations
12
H-Index
2015
Active since
Stephan Eismann is an author at Stanford University specializing in molecular biology, engineering, and deep learning.
Top concepts
EngineeringMolecular BiologyDeep LearningSystems BiologyMachine LearningComputational BiologyMedicineBiophysicsDrug DiscoveryStructural Biology
Publications per year
2015–2024
12
12
High-speed recording of neural spikes in awake mice and flies with a fluorescent voltage sensor
Yiyang Gong, Cheng Huang, Jin Zhong Li et al. · Science · 2015 · 486 citations
Geometric deep learning of RNA structure
Raphael J.L. Townshend, Stephan Eismann, Andrew M. Watkins et al. · Science · 2021 · 431 citations · Full text
Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing, Stephan Eismann, Patricia Suriana et al. · arXiv (Cornell University) · 2020 · 193 citations · Full text
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