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Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting".

, , , , , , , и . IEEE Trans. Medical Imaging, 39 (2): 543 (2020)

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Fang-Fang Tang

Xing Fang

Fang Chen

Xiangfan Fang

Youkang Fang

 

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Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting., , , , , , , и . IEEE Trans. Medical Imaging, 38 (10): 2375-2388 (2019)Deep-Learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals., , , , , , , , , и 1 other автор(ы). MICCAI (6), том 13436 из Lecture Notes in Computer Science, стр. 432-441. Springer, (2022)Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting"., , , , , , , и . IEEE Trans. Medical Imaging, 39 (2): 543 (2020)Masked Conditional Diffusion Model for Enhancing Deepfake Detection., , , , , , и . IJCNN, стр. 1-7. IEEE, (2024)What's in a Prior? Learned Proximal Networks for Inverse Problems., , и . CoRR, (2023)DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging., , , , и . CoRR, (2022)RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting., , , , и . MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 101-109. Springer, (2019)CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets., , , , , , , , , и 1 other автор(ы). GLMI@MICCAI, том 11849 из Lecture Notes in Computer Science, стр. 172-179. Springer, (2019)What's in a Prior? Learned Proximal Networks for Inverse Problems., , и . ICLR, OpenReview.net, (2024)Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)., , , , , и . MLMI@MICCAI, том 11046 из Lecture Notes in Computer Science, стр. 398-405. Springer, (2018)