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2020 |
Han, Woo-Sup |
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2020 |
Guo, Xutao |
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2020 |
González, S. Rosas |
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2020 |
Pei, Linmin |
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2020 |
Abraham, Nabila |
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2020 |
Liang, Kaisheng |
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2020 |
Buatois, Thibault |
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2020 |
Xue, Yunzhe |
| Overall Survival Prediction Using Conventional MRI Features
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2020 |
Ren, Yanhao |
| The Tumor Mix-Up in 3D Unet for Glioma Segmentation
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2020 |
Yin, Pengyu |
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2020 |
Pei, Linmin |
| Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-Sequence MR Image Generation
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2020 |
Zhao, Guojing |
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2020 |
Banerjee, Subhashis |
| Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI
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2020 |
Yogananda, Chandan Ganesh Bangalore |
| DDU-Nets: Distributed Dense Model for 3D MRI Brain Tumor Segmentation
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2020 |
Zhang, Hanxiao |
| Automatic Segmentation of Brain Tumor from 3D MR Images Using SegNet, U-Net, and PSP-Net
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2020 |
Weng, Yan-Ting |
| Multi-branch Learning Framework with Different Receptive Fields Ensemble for Brain Tumor Segmentation
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2020 |
Guohua, Cheng |
| 3D Deep Residual Encoder-Decoder CNNS with Squeeze-and-Excitation for Brain Tumor Segmentation
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2020 |
Yan, Kai |
| Encoder-Decoder Network for Brain Tumor Segmentation on Multi-sequence MRI
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2020 |
Iantsen, Andrei |
| Deep Convolutional Neural Networks for Brain Tumor Segmentation: Boosting Performance Using Deep Transfer Learning: Preliminary Results
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2020 |
Naceur, Mostefa Ben |
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