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RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting.

Z. Fang, Y. Chen, D. Nie, W. Lin, и D. Shen. MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 101-109. Springer, (2019)

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Fang-Fang Tang

Xing Fang

Fang Chen

Weigui Fang

Xiangfan Fang

Другие публикации лиц с тем же именем

Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.Z. Fang, Y. Chen, M. Liu, L. Xiang, Q. Zhang, Q. Wang, W. Lin, и D. Shen. 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.Y. Gu, Y. Pan, Z. Fang, J. Zhang, P. Xue, M. Liu, Y. Zhu, L. Ma, C. Androjna, X. Yu 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".Z. Fang, Y. Chen, M. Liu, L. Xiang, Q. Zhang, Q. Wang, W. Lin, и D. Shen. IEEE Trans. Medical Imaging, 39 (2): 543 (2020)DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging.Z. Fang, K. Lai, P. van Zijl, X. Li, и J. Sulam. CoRR, (2022)What's in a Prior? Learned Proximal Networks for Inverse Problems.Z. Fang, S. Buchanan, и J. Sulam. CoRR, (2023)RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting.Z. Fang, Y. Chen, D. Nie, W. Lin, и D. Shen. MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 101-109. Springer, (2019)CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets.J. Chen, Z. Fang, D. Xiao, D. Bui, K. Thung, X. Li, J. Yang, W. Lin, G. Li, D. Shen и 1 other автор(ы). GLMI@MICCAI, том 11849 из Lecture Notes in Computer Science, стр. 172-179. Springer, (2019)LMSA-Net: A lightweight multi-scale aware network for retinal vessel segmentation.J. Chen, J. Wan, Z. Fang, и L. Wei. Int. J. Imaging Syst. Technol., 33 (5): 1515-1530 (сентября 2023)Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF).Z. Fang, Y. Chen, M. Liu, Y. Zhan, W. Lin, и D. Shen. MLMI@MICCAI, том 11046 из Lecture Notes in Computer Science, стр. 398-405. Springer, (2018)WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility Imaging.Z. Fang, H. Shin, P. van Zijl, X. Li, и J. Sulam. MLCN@MICCAI, том 14312 из Lecture Notes in Computer Science, стр. 56-66. Springer, (2023)

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