High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss

Research article (2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021) · cited 13× · AI/ML
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High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss

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High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/high-resolution-magnetic-resonance-spectroscopic-imaging-using-a-multi-encoder-attention-u-net-with-structural-and-adver
MLA “High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/high-resolution-magnetic-resonance-spectroscopic-imaging-using-a-multi-encoder-attention-u-net-with-structural-and-adver.
BibTeX @misc{4ortxyz_high-resolution-magnetic-resonance-spectroscopic-imaging-using-a-multi-encoder-attention-u-net-with-structural-and-adver_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss}}, year = {2026}, url = {https://4ort.xyz/entity/high-resolution-magnetic-resonance-spectroscopic-imaging-using-a-multi-encoder-attention-u-net-with-structural-and-adver}, note = {Accessed: 2026-05-24}}
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