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N4ITK: improved N3 bias correction.
IEEE Trans Med Imaging. 2010 Jun;29(6):1310-20. doi: 10.1109/TMI.2010.2046908. Epub 2010 Apr 8.
2
Intensity inhomogeneity correction using N3 on mouse brain magnetic resonance microscopy.
J Neuroimaging. 2013 Oct;23(4):502-7. doi: 10.1111/jon.12041. Epub 2013 Jul 29.
3
A fast and automatic method to correct intensity inhomogeneity in MR brain images.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):324-31. doi: 10.1007/11866763_40.
4
An improved variational level set method for MR image segmentation and bias field correction.
Magn Reson Imaging. 2013 Apr;31(3):439-47. doi: 10.1016/j.mri.2012.08.002. Epub 2012 Dec 7.
5
Correction of bias field in MR images using singularity function analysis.
IEEE Trans Med Imaging. 2005 Aug;24(8):1067-85. doi: 10.1109/TMI.2005.852066.
6
Standing on the shoulders of giants: improving medical image segmentation via bias correction.
Med Image Comput Comput Assist Interv. 2010;13(Pt 3):105-12. doi: 10.1007/978-3-642-15711-0_14.
7
A unified variational approach to denoising and bias correction in MR.
Inf Process Med Imaging. 2003 Jul;18:148-59. doi: 10.1007/978-3-540-45087-0_13.
9
Applications of stimulated echo correction to multicomponent T2 analysis.
Magn Reson Med. 2012 Jun;67(6):1803-14. doi: 10.1002/mrm.23157. Epub 2011 Oct 19.
10
Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation.
Magn Reson Imaging. 2014 Sep;32(7):913-23. doi: 10.1016/j.mri.2014.03.010. Epub 2014 Apr 30.

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Lesion-Based Disconnectome Explains Cognitive Outcomes in Multiple Sclerosis.
J Neuroimaging. 2025 Sep-Oct;35(5):e70081. doi: 10.1111/jon.70081.
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Prior Novelty Invigorates Future Mesolimbic Target Detection.
bioRxiv. 2025 Aug 22:2024.12.16.628816. doi: 10.1101/2024.12.16.628816.
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CAGs-Net: A Novel Adjacent-Context Network With Channel Attention Gate for 3D Brain Tumor Image Segmentation.
Int J Biomed Imaging. 2025 Aug 22;2025:6656059. doi: 10.1155/ijbi/6656059. eCollection 2025.
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Robust deep MRI contrast synthesis using a prior-based and task-oriented 3D network.
Imaging Neurosci (Camb). 2025 Aug 26;3. doi: 10.1162/IMAG.a.116. eCollection 2025.

本文引用的文献

1
A Review on MR Image Intensity Inhomogeneity Correction.
Int J Biomed Imaging. 2006;2006:49515. doi: 10.1155/IJBI/2006/49515. Epub 2006 Aug 7.
2
Improvement of brain segmentation accuracy by optimizing non-uniformity correction using N3.
Neuroimage. 2009 Oct 15;48(1):73-83. doi: 10.1016/j.neuroimage.2009.06.039. Epub 2009 Jun 25.
3
A high-resolution computational atlas of the human hippocampus from postmortem magnetic resonance imaging at 9.4 T.
Neuroimage. 2009 Jan 15;44(2):385-98. doi: 10.1016/j.neuroimage.2008.08.042. Epub 2008 Sep 18.
4
Intensity non-uniformity correction using N3 on 3-T scanners with multichannel phased array coils.
Neuroimage. 2008 Feb 15;39(4):1752-62. doi: 10.1016/j.neuroimage.2007.10.026. Epub 2007 Oct 30.
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A nonparametric MRI inhomogeneity correction method.
Med Image Anal. 2007 Aug;11(4):336-45. doi: 10.1016/j.media.2007.03.001. Epub 2007 Mar 27.
6
A review of methods for correction of intensity inhomogeneity in MRI.
IEEE Trans Med Imaging. 2007 Mar;26(3):405-21. doi: 10.1109/TMI.2006.891486.
7
Twenty new digital brain phantoms for creation of validation image data bases.
IEEE Trans Med Imaging. 2006 Nov;25(11):1410-6. doi: 10.1109/TMI.2006.883453.
8
A new improved version of the realistic digital brain phantom.
Neuroimage. 2006 Aug 1;32(1):138-45. doi: 10.1016/j.neuroimage.2006.03.052. Epub 2006 Jun 5.
9
SPLINE FUNCTIONS AND THE PROBLEM OF GRADUATION.
Proc Natl Acad Sci U S A. 1964 Oct;52(4):947-50. doi: 10.1073/pnas.52.4.947.
10
Biventricular myocardial strains via nonrigid registration of anatomical NURBS model [corrected].
IEEE Trans Med Imaging. 2006 Jan;25(1):94-112. doi: 10.1109/TMI.2005.861015.

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