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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)First U-Net Layers Contain More Domain Specific Information Than the Last Ones., , , , and . DART/DCL@MICCAI, volume 12444 of Lecture Notes in Computer Science, page 117-126. Springer, (2020)Sparse Group Inductive Matrix Completion., , , , and . CoRR, (2018)Adaptation to CT Reconstruction Kernels by Enforcing Cross-Domain Feature Maps Consistency., , , and . J. Imaging, 8 (9): 234 (2022)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)Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation., , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 211-220. Springer, (2021)CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation., , , , , , , , , and 30 other author(s). Medical Image Anal., (2023)Neglectable effect of brain MRI data prepreprocessing for tumor segmentation., , , , , and . CoRR, (2022)