Qure.ai

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We are a team of computer scientists, medical practitioners and bioinformaticians. We apply the latest deep learning research to healthcare questions, and develop innovative solutions that will revolutionize the way patients are diagnosed and treated.

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Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.LG

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The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
Simon Jégou and Michal Drozdzal and David Vazquez and Adriana Romero and Yoshua Bengio
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.CV

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Deep Learning with Separable Convolutions
François Chollet
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.CV

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