1. Dropout as a bayesian approximation: Representing model uncertainty in deep learning;gal;International Conference on Machine Learning,2016
2. Simple and scalable predictive uncertainty estimation using deep ensembles;lakshminarayanan;Advances in neural information processing systems,2017
3. Attention u-net: Learning where to look for the pancreas;oktay,2018
4. Cbam: Convolutional block attention module;woo;Proceedings of the European Conference on Computer Vision,2018
5. Unet++: A nested u-net architecture for medical image segmentation;zhou;Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support,2018