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Single binding of data and model parallelisms to parallelize convolutional neural networks through multiple machines.

, , , and . J. Intell. Fuzzy Syst., 35 (5): 5449-5466 (2018)

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Multi stream 3D hyper-densely connected network for multi modality isointense infant brain MRI segmentation., , , and . Multim. Tools Appl., 78 (18): 25807-25828 (2019)Single binding of data and model parallelisms to parallelize convolutional neural networks through multiple machines., , , and . J. Intell. Fuzzy Syst., 35 (5): 5449-5466 (2018)MH UNet: A Multi-Scale Hierarchical Based Architecture for Medical Image Segmentation., , , , , , and . IEEE Access, (2021)A variant form of 3D-UNet for infant brain segmentation., , , , and . Future Gener. Comput. Syst., (2020)Context Aware 3D UNet for Brain Tumor Segmentation., , , and . BrainLes@MICCAI (1), volume 12658 of Lecture Notes in Computer Science, page 207-218. Springer, (2020)Hybrid Labels for Brain Tumor Segmentation., , , and . BrainLes@MICCAI (2), volume 11993 of Lecture Notes in Computer Science, page 158-166. Springer, (2019)CT-Based Automatic Spine Segmentation Using Patch-Based Deep Learning., , , , , , , , , and 1 other author(s). Int. J. Intell. Syst., (2023)Removal notice to "Equipping recurrent neural network with CNN-style attention mechanisms for sentiment analysis of network reviews" Comput. Commun. (2019) 98-106., , , , , , , and . Comput. Commun., (2019)Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning., , , and . CoRR, (2024)3D Dense Dilated Hierarchical Architecture for Brain Tumor Segmentation., , , , , , and . ICBDC, page 304-307. ACM, (2019)