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Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI.

, , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 706-714. Springer, (2018)

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Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI., , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 706-714. Springer, (2018)Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images., , , and . IEEE Trans. Med. Imaging, 35 (5): 1240-1251 (2016)Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation., , , and . BrainLes@MICCAI (2), volume 12659 of Lecture Notes in Computer Science, page 179-188. Springer, (2020)OCELOT: Overlapped Cell on Tissue Dataset for Histopathology., , , , , , , , , and 2 other author(s). CVPR, page 23902-23912. IEEE, (2023)Variability Matters: Evaluating Inter-Rater Variability in Histopathology for Robust Cell Detection., , , , and . ECCV Workshops (7), volume 13807 of Lecture Notes in Computer Science, page 552-565. Springer, (2022)Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks., , , , , and . IEEE Trans. Medical Imaging, 38 (12): 2914-2925 (2019)Combining unsupervised and supervised learning for predicting the final stroke lesion., , , , , , and . CoRR, (2021)Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI., , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 131-143. Springer, (2015)Benchmarking Self-Supervised Learning on Diverse Pathology Datasets., , , , and . CVPR, page 3344-3354. IEEE, (2023)Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation., , , and . CoRR, (2021)