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Mingyuan Liu
Mingyuan Liu
Verified email at buaa.edu.cn
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Year
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
17282018
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
1742017
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
1272016
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
622020
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
272020
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
222021
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
222016
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
52020
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
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