59 citations · 59 across the 2 of their papers we have counts for
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cs.CV2018
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
Isidro Cortes Ciriano, Andreas Bender
The application of convolutional neural networks (ConvNets) to harness high-content screening images or 2D compound representations is gaining increasing attention in drug discover…
cs.LG2018
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Errors for Deep Neural Networks
Isidro Cortes-Ciriano, Andreas Bender
Deep learning architectures have proved versatile in a number of drug discovery applications, including the modelling of in vitro compound activity. While controlling for predictio…