Found: 6
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Varying undersampling directions for accelerating multiple acquisition magnetic resonance imaging.
- Published in:
- NMR in Biomedicine, 2022, v. 35, n. 4, p. 1, doi. 10.1002/nbm.4572
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- Article
CycleSeg: Simultaneous synthetic CT generation and unsupervised segmentation for MR‐only radiotherapy treatment planning of prostate cancer.
- Published in:
- Medical Physics, 2024, v. 51, n. 6, p. 4365, doi. 10.1002/mp.16976
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- Article
Simultaneously optimizing sampling pattern for joint acceleration of multi‐contrast MRI using model‐based deep learning.
- Published in:
- Medical Physics, 2022, v. 49, n. 9, p. 5964, doi. 10.1002/mp.15790
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- Article
qMTNet: Accelerated quantitative magnetization transfer imaging with artificial neural networks.
- Published in:
- Magnetic Resonance in Medicine, 2021, v. 85, n. 1, p. 298, doi. 10.1002/mrm.28411
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- Article
Artificial neural network for Slice Encoding for Metal Artifact Correction (SEMAC) MRI.
- Published in:
- Magnetic Resonance in Medicine, 2020, v. 84, n. 1, p. 263, doi. 10.1002/mrm.28126
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- Publication type:
- Article
Feasibility of Synthetic Computed Tomography Images Generated from Magnetic Resonance Imaging Scans Using Various Deep Learning Methods in the Planning of Radiation Therapy for Prostate Cancer.
- Published in:
- Cancers, 2022, v. 14, n. 1, p. 40, doi. 10.3390/cancers14010040
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- Article