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2021 |
Soltaninejad, Mohammadreza |
| Efficient Brain Tumour Segmentation Using Co-registered Data and Ensembles of Specialised Learners
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2021 |
Shah, Beenitaben |
| Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework
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2021 |
Ellis, David G. |
| Attention U-Net with Dimension-Hybridized Fast Data Density Functional Theory for Automatic Brain Tumor Image Segmentation
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2021 |
Su, Zi-Jun |
| Glioma Segmentation Using Ensemble of 2D/3D U-Nets and Survival Prediction Using Multiple Features Fusion
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2021 |
Ali, Muhammad Junaid |
| Multi-threshold Attention U-Net (MTAU) Based Model for Multimodal Brain Tumor Segmentation in MRI Scans
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2021 |
Awasthi, Navchetan |
| Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for Brain Tumor Segmentation: BraTS 2020 Challenge
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2021 |
Fidon, Lucas |
| A Two-Stage Atrous Convolution Neural Network for Brain Tumor Segmentation and Survival Prediction
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2021 |
Miron, Radu |
| Some New Tricks for Deep Glioma Segmentation
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2021 |
Duncan, Chase |
| PieceNet: A Redundant UNet Ensemble
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2021 |
Bommineni, Vikas L. |
| DR-Unet104 for Multimodal MRI Brain Tumor Segmentation
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2021 |
Colman, Jordan |
| Learning Dynamic Convolutions for Multi-modal 3D MRI Brain Tumor Segmentation
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2021 |
Yang, Qiushi |
| Multimodal Brain Tumor Classification
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2021 |
Lerousseau, Marvin |
| Lightweight U-Nets for Brain Tumor Segmentation
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2021 |
Tarasiewicz, Tomasz |
| nnU-Net for Brain Tumor Segmentation
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2021 |
Isensee, Fabian |
| Brain Tumor Segmentation and Associated Uncertainty Evaluation Using Multi-sequences MRI Mixture Data Preprocessing
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2021 |
Groza, Vladimir |
| Brain Tumour Segmentation Using Probabilistic U-Net
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2021 |
Savadikar, Chinmay |
| TwoPath U-Net for Automatic Brain Tumor Segmentation from Multimodal MRI Data
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2021 |
Kaewrak, Keerati |
| Brain Tumor Segmentation and Survival Prediction Using Automatic Hard Mining in 3D CNN Architecture
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2021 |
Anand, Vikas Kumar |
| Modified MobileNet for Patient Survival Prediction
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2021 |
Akbar, Agus Subhan |
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