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Deep-Learning Based T1 and T2 Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals.

, , , , , , , , , , and . MICCAI (6), volume 13436 of Lecture Notes in Computer Science, page 432-441. Springer, (2022)

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Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting., , , , , , , and . 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., , , , , , , , , and 1 other author(s). MICCAI (6), volume 13436 of Lecture Notes in Computer Science, page 432-441. Springer, (2022)Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting"., , , , , , , and . IEEE Trans. Medical Imaging, 39 (2): 543 (2020)Masked Conditional Diffusion Model for Enhancing Deepfake Detection., , , , , , and . CoRR, (2024)DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging., , , , and . CoRR, (2022)What's in a Prior? Learned Proximal Networks for Inverse Problems., , and . CoRR, (2023)RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting., , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 101-109. Springer, (2019)CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets., , , , , , , , , and 1 other author(s). GLMI@MICCAI, volume 11849 of Lecture Notes in Computer Science, page 172-179. Springer, (2019)Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)., , , , , and . MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 398-405. Springer, (2018)LMSA-Net: A lightweight multi-scale aware network for retinal vessel segmentation., , , and . Int. J. Imaging Syst. Technol., 33 (5): 1515-1530 (September 2023)