1. SegNet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan,2015
2. Recurrent neural networks for aortic image sequence segmentation with sparse annotations;Bai,2018
3. Bai, M., Urtasun, R., 2017. Deep watershed transform for instance segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 5221–5229.
4. Semi-supervised medical image segmentation via learning consistency under transformations;Bortsova,2019
5. Suggestive annotation of brain MR images with gradient-guided sampling;Dai;Med. Image Anal.,2022