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FLAIR.

Journal of neurology

Zrzavy T, Wielandner A, Haider L, Bartsch S, Leutmezer F, Berger T, Nenning KH, Rauscher A, Rommer P, Kasprian G.
PMID: 34623512
J Neurol. 2022 Jan;269(1):461-467. doi: 10.1007/s00415-021-10833-x. Epub 2021 Oct 08.

BACKGROUND: Technical improvements in magnetic resonance imaging (MRI) acquisition, such as higher field strength and optimized sequences, lead to better multiple sclerosis (MS) lesion detection and characterization. Multiplication of 3D-FLAIR with 3D-T2 sequences (FLAIROBJECTIVE: To compare lesion detection of...

Cite
Zrzavy T, Wielandner A, Haider L, et al. FLAIR. J Neurol. 2021;269(1):461-467doi: 10.1007/s00415-021-10833-x.
Zrzavy, T., Wielandner, A., Haider, L., Bartsch, S., Leutmezer, F., Berger, T., Nenning, K. H., Rauscher, A., Rommer, P., & Kasprian, G. (2022). FLAIR. Journal of neurology, 269(1), 461-467. https://doi.org/10.1007/s00415-021-10833-x
Zrzavy, Tobias, et al. "FLAIR." Journal of neurology vol. 269,1 (2022): 461-467. doi: https://doi.org/10.1007/s00415-021-10833-x
Zrzavy T, Wielandner A, Haider L, Bartsch S, Leutmezer F, Berger T, Nenning KH, Rauscher A, Rommer P, Kasprian G. FLAIR. J Neurol. 2022 Jan;269(1):461-467. doi: 10.1007/s00415-021-10833-x. Epub 2021 Oct 08. PMID: 34623512.
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Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning.

Journal of applied clinical medical physics

Zheng Y, Jiang S, Yang Z.
PMID: 34505341
J Appl Clin Med Phys. 2021 Oct;22(10):22-35. doi: 10.1002/acm2.13392. Epub 2021 Sep 10.

PURPOSE: The deformable registration of 3D chest computed tomography (CT) images is one of the most important tasks in the field of medical image registration. However, the nonlinear deformation and large-scale displacement of lung tissues caused by respiratory motion...

Cite
Zheng Y, Jiang S, Yang Z. Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning. J Appl Clin Med Phys. 2021;22(10):22-35doi: 10.1002/acm2.13392.
Zheng, Y., Jiang, S., & Yang, Z. (2021). Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning. Journal of applied clinical medical physics, 22(10), 22-35. https://doi.org/10.1002/acm2.13392
Zheng, Yongnan, et al. "Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning." Journal of applied clinical medical physics vol. 22,10 (2021): 22-35. doi: https://doi.org/10.1002/acm2.13392
Zheng Y, Jiang S, Yang Z. Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning. J Appl Clin Med Phys. 2021 Oct;22(10):22-35. doi: 10.1002/acm2.13392. Epub 2021 Sep 10. PMID: 34505341; PMCID: PMC8504612.
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Showing 145 to 146 of 146 entries