| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1770 | 2018 |
| Gland instance segmentation using deep multichannel neural networks Y Xu, Y Li, Y Wang, M Liu, Y Fan, M Lai, I Eric, C Chang IEEE Transactions on Biomedical Engineering 64 (12), 2901-2912, 2017 | 177 | 2017 |
| Gland instance segmentation by deep multichannel side supervision Y Xu, Y Li, M Liu, Y Wang, M Lai, EI Chang International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 126 | 2016 |
| DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography L Xu, M Liu, Z Shen, H Wang, X Liu, X Wang, S Wang, T Li, S Yu, M Hou, ... Computerized Medical Imaging and Graphics 80, 101690, 2020 | 69 | 2020 |
| Convolutional-neural-network-based approach for segmentation of apical four-chamber view from fetal echocardiography L Xu, M Liu, J Zhang, Y He IEEE Access 8, 80437-80446, 2020 | 32 | 2020 |
| Exploit Visual Dependency Relations for Semantic Segmentation M Liu, D Schonfeld, W Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 25 | 2021 |
| Gland instance segmentation by deep multichannel neural networks Y Xu, Y Li, M Liu, Y Wang, Y Fan, M Lai, EI Chang arXiv preprint arXiv:1607.04889, 2016 | 22 | 2016 |
| Histopathologic cancer detection by dense-attention network with incorporation of prior knowledge M Liu, Y Yu, Q Liao, J Zhang 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 466-470, 2020 | 5 | 2020 |
| Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis M Liu, L Xu, J Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
