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The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics.
- Published in:
- Scientific Data, 2022, v. 9, n. 1, p. 1, doi. 10.1038/s41597-022-01560-7
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- Publication type:
- Article
Author Correction: Federated learning enables big data for rare cancer boundary detection.
- Published in:
- 2023
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- Publication type:
- Correction Notice
Federated learning enables big data for rare cancer boundary detection.
- Published in:
- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-33407-5
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- Publication type:
- Article
A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information.
- Published in:
- Scientific Data, 2024, v. 11, n. 1, p. 1, doi. 10.1038/s41597-024-03021-9
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- Publication type:
- Article
Cascaded Dilated Deep Residual Network for Volumetric Liver Segmentation From CT Image.
- Published in:
- International Journal of E-Health & Medical Communications, 2021, v. 12, n. 1, p. N.PAG, doi. 10.4018/IJEHMC.2021010103
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- Article
Overall Survival Prediction in Glioblastoma With Radiomic Features Using Machine Learning.
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- Frontiers in Computational Neuroscience, 2020, v. 14, p. N.PAG, doi. 10.3389/fncom.2020.00061
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- Publication type:
- Article
A Novel Approach for Fully Automatic Intra-Tumor Segmentation With 3D U-Net Architecture for Gliomas.
- Published in:
- Frontiers in Computational Neuroscience, 2020, p. 1, doi. 10.3389/fncom.2020.00010
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- Publication type:
- Article
Generative adversarial networks based skin lesion segmentation.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-39648-8
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- Publication type:
- Article
Generative adversarial networks based skin lesion segmentation.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-39648-8
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- Publication type:
- Article