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3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation

Research article (IEEE Transactions on Cybernetics, 2018) · cited 195× · AI/ML
academia openalex:W2791155853
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3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation

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3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). 3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/3-d-fully-convolutional-networks-for-multimodal-isointense-infant-brain-image-segmentation
MLA “3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/3-d-fully-convolutional-networks-for-multimodal-isointense-infant-brain-image-segmentation.
BibTeX @misc{4ortxyz_3-d-fully-convolutional-networks-for-multimodal-isointense-infant-brain-image-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/3-d-fully-convolutional-networks-for-multimodal-isointense-infant-brain-image-segmentation}, note = {Accessed: 2026-05-24}}
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