Found: 15
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A Half-Blood Half-Pipe, A Perfect Performance.
- Published in:
- UMAP Journal, 2011, v. 32, n. 2, p. 109
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- Publication type:
- Article
Low-count whole-body PET with deep learning in a multicenter and externally validated study.
- Published in:
- NPJ Digital Medicine, 2021, v. 4, n. 1, p. 1, doi. 10.1038/s41746-021-00497-2
- By:
- Publication type:
- Article
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study.
- Published in:
- 2021
- By:
- Publication type:
- Correction Notice
Low-count whole-body PET with deep learning in a multicenter and externally validated study.
- Published in:
- NPJ Digital Medicine, 2021, v. 4, n. 1, p. 1, doi. 10.1038/s41746-021-00497-2
- By:
- Publication type:
- Article
Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI.
- Published in:
- 2018
- By:
- Publication type:
- journal article
P4‐310: LOW‐DOSE AMYLOID PET RECONSTRUCTION USING A PRE‐TRAINED, MULTIMODAL DEEP LEARNING NETWORK.
- Published in:
- Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 2018, v. 14, p. P1574, doi. 10.1016/j.jalz.2018.07.133
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- Publication type:
- Article
Erratum: "Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss".
- Published in:
- Medical Physics, 2023, v. 50, n. 9, p. 5932, doi. 10.1002/mp.16601
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- Publication type:
- Article
Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss.
- Published in:
- Medical Physics, 2019, v. 46, n. 8, p. 3555, doi. 10.1002/mp.13626
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- Publication type:
- Article
Predicting 15 O-Water PET cerebral blood flow maps from multi-contrast MRI using a deep convolutional neural network with evaluation of training cohort bias.
- Published in:
- Journal of Cerebral Blood Flow & Metabolism, 2020, v. 40, n. 11, p. 2240, doi. 10.1177/0271678X19888123
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- Publication type:
- Article
A generic deep learning model for reduced gadolinium dose in contrast‐enhanced brain MRI.
- Published in:
- Magnetic Resonance in Medicine, 2021, v. 86, n. 3, p. 1687, doi. 10.1002/mrm.28808
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- Publication type:
- Article
Joint multi‐contrast variational network reconstruction (jVN) with application to rapid 2D and 3D imaging.
- Published in:
- Magnetic Resonance in Medicine, 2020, v. 84, n. 3, p. 1456, doi. 10.1002/mrm.28219
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- Publication type:
- Article
PROMISE: Parallel-imaging and compressed-sensing reconstruction of multicontrast imaging using SharablE information.
- Published in:
- 2015
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- Publication type:
- Other
PROMISE: Parallel-imaging and compressed-sensing reconstruction of multicontrast imaging using SharablE information.
- Published in:
- Magnetic Resonance in Medicine, 2015, v. 73, n. 2, p. 523, doi. 10.1002/mrm.25142
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- Publication type:
- Article
Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging.
- Published in:
- JAMA Network Open, 2020, v. 3, n. 3, p. e200772, doi. 10.1001/jamanetworkopen.2020.0772
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- Publication type:
- Article
Applying Deep Learning to Accelerated Clinical Brain Magnetic Resonance Imaging for Multiple Sclerosis.
- Published in:
- Frontiers in Neurology, 2021, v. 12, p. 1, doi. 10.3389/fneur.2021.685276
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- Publication type:
- Article