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Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks.

, , and . DSD, page 260-267. IEEE Computer Society, (2018)

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Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets., , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 13-24. Springer, (2018)Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors., , , , , , , , , and 1 other author(s). CoRR, (2019)Data Augmentation for Brain-Tumor Segmentation: A Review., , and . Frontiers Comput. Neurosci., (2019)Brain Tumor Segmentation Using Neural Network Topology Search., , , and . BrainLes@MICCAI (1), volume 12962 of Lecture Notes in Computer Science, page 366-376. Springer, (2021)Optimized U-Net for Brain Tumor Segmentation., , , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 15-29. Springer, (2021)Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks., , and . DSD, page 260-267. IEEE Computer Society, (2018)FastDimeNet++: Training DimeNet++ in 22 minutes., , , , , , , , , and 4 other author(s). ICPP, page 274-284. ACM, (2023)Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans., and . FedCSIS, volume 18 of Annals of Computer Science and Information Systems, page 61-65. (2019)Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks., , , and . CoRR, (2018)Data Augmentation via Image Registration., , , , , , , , , and 3 other author(s). ICIP, page 4250-4254. IEEE, (2019)