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Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation.

, , , , , , , and . MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 523-532. Springer, (2020)

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Systematic Clinical Evaluation of a Deep Learning Method for Medical Image Segmentation: Radiosurgery Application., , , , , , , , and . IEEE J. Biomed. Health Informatics, 26 (7): 3037-3046 (2022)Dimensionality reduction with isomap algorithm for EEG covariance matrices., and . BCI, page 1-4. IEEE, (2016)Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation., , , , , , , , , and . BrainLes@MICCAI (1), volume 11992 of Lecture Notes in Computer Science, page 119-128. Springer, (2019)Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization., , , , , , , , and . J. Imaging, 7 (2): 35 (2021)Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation., , , , , , , and . MICCAI (4), volume 12264 of Lecture Notes in Computer Science, page 523-532. Springer, (2020)MRI Augmentation via Elastic Registration for Brain Lesions Segmentation., , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 369-380. Springer, (2017)Filter bank extension for neural network-based motor imagery classification., , and . MLSP, page 1-6. IEEE, (2016)Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation., , , , , and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 877-886. Springer, (2018)Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application., , , , , , , , and . CoRR, (2021)Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation., , , , , , , and . Patch-MI@MICCAI, volume 11075 of Lecture Notes in Computer Science, page 122-129. Springer, (2018)