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Items: 1 to 20 of 101

1.

Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs.

Hong J, Park BY, Lee MJ, Chung CS, Cha J, Park H.

Comput Methods Programs Biomed. 2019 Sep 5;183:105065. doi: 10.1016/j.cmpb.2019.105065. [Epub ahead of print]

PMID:
31522090
2.

DEWS (DEep White matter hyperintensity Segmentation framework): A fully automated pipeline for detecting small deep white matter hyperintensities in migraineurs.

Park BY, Lee MJ, Lee SH, Cha J, Chung CS, Kim ST, Park H.

Neuroimage Clin. 2018 Mar 2;18:638-647. doi: 10.1016/j.nicl.2018.02.033. eCollection 2018.

3.

Cerebrovascular reactivity as a determinant of deep white matter hyperintensities in migraine.

Lee MJ, Park BY, Cho S, Park H, Chung CS.

Neurology. 2019 Jan 22;92(4):e342-e350. doi: 10.1212/WNL.0000000000006822. Epub 2019 Jan 4.

PMID:
30610094
4.

Longitudinal relaxographic imaging of white matter hyperintensities in the elderly.

Anderson VC, Obayashi JT, Kaye JA, Quinn JF, Berryhill P, Riccelli LP, Peterson D, Rooney WD.

Fluids Barriers CNS. 2014 Oct 20;11:24. doi: 10.1186/2045-8118-11-24. eCollection 2014.

5.

Characterizing the white matter hyperintensity penumbra with cerebral blood flow measures.

Promjunyakul N, Lahna D, Kaye JA, Dodge HH, Erten-Lyons D, Rooney WD, Silbert LC.

Neuroimage Clin. 2015 Apr 22;8:224-9. doi: 10.1016/j.nicl.2015.04.012. eCollection 2015.

6.

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks.

Guerrero R, Qin C, Oktay O, Bowles C, Chen L, Joules R, Wolz R, Valdés-Hernández MC, Dickie DA, Wardlaw J, Rueckert D.

Neuroimage Clin. 2017 Dec 20;17:918-934. doi: 10.1016/j.nicl.2017.12.022. eCollection 2018.

7.

Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology.

Rachmadi MF, Valdés-Hernández MDC, Agan MLF, Di Perri C, Komura T; Alzheimer's Disease Neuroimaging Initiative.

Comput Med Imaging Graph. 2018 Jun;66:28-43. doi: 10.1016/j.compmedimag.2018.02.002. Epub 2018 Feb 17.

PMID:
29523002
8.

Automated detection of white matter hyperintensities of all sizes in cerebral small vessel disease.

Ghafoorian M, Karssemeijer N, van Uden IW, de Leeuw FE, Heskes T, Marchiori E, Platel B.

Med Phys. 2016 Dec;43(12):6246.

PMID:
27908171
9.

Automatic segmentation and quantitative analysis of white matter hyperintensities on FLAIR images using trimmed-likelihood estimator.

Wang R, Li C, Wang J, Wei X, Li Y, Hui C, Zhu Y, Zhang S.

Acad Radiol. 2014 Dec;21(12):1512-23. doi: 10.1016/j.acra.2014.07.001. Epub 2014 Aug 28.

PMID:
25176451
10.

Association of white matter hyperintensities with migraine features and prognosis.

Xie H, Zhang Q, Huo K, Liu R, Jian ZJ, Bian YT, Li GL, Zhu D, Zhang LH, Yang J, Luo GG.

BMC Neurol. 2018 Jul 2;18(1):93. doi: 10.1186/s12883-018-1096-2.

11.

Performance comparison of 10 different classification techniques in segmenting white matter hyperintensities in aging.

Dadar M, Maranzano J, Misquitta K, Anor CJ, Fonov VS, Tartaglia MC, Carmichael OT, Decarli C, Collins DL; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2017 Aug 15;157:233-249. doi: 10.1016/j.neuroimage.2017.06.009. Epub 2017 Jul 3.

12.

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.

Moeskops P, de Bresser J, Kuijf HJ, Mendrik AM, Biessels GJ, Pluim JPW, Išgum I.

Neuroimage Clin. 2017 Oct 12;17:251-262. doi: 10.1016/j.nicl.2017.10.007. eCollection 2018.

13.

Application of variable threshold intensity to segmentation for white matter hyperintensities in fluid attenuated inversion recovery magnetic resonance images.

Yoo BI, Lee JJ, Han JW, Oh SY, Lee EY, MacFall JR, Payne ME, Kim TH, Kim JH, Kim KW.

Neuroradiology. 2014 Apr;56(4):265-81. doi: 10.1007/s00234-014-1322-6. Epub 2014 Feb 4.

PMID:
24493377
14.

White matter hyperintensities are associated with falls in older people with dementia.

Taylor ME, Lord SR, Delbaere K, Wen W, Jiang J, Brodaty H, Kurrle SE, Stefanie Mikolaizak A, Close JCT.

Brain Imaging Behav. 2019 Oct;13(5):1265-1272. doi: 10.1007/s11682-018-9943-8.

PMID:
30145714
15.

Improved Automatic Segmentation of White Matter Hyperintensities in MRI Based on Multilevel Lesion Features.

Rincón M, Díaz-López E, Selnes P, Vegge K, Altmann M, Fladby T, Bjørnerud A.

Neuroinformatics. 2017 Jul;15(3):231-245. doi: 10.1007/s12021-017-9328-y.

PMID:
28378263
16.

Microstructural white matter changes preceding white matter hyperintensities in migraine.

Arkink EB, Palm-Meinders IH, Koppen H, Milles J, van Lew B, Launer LJ, Hofman PAM, Terwindt GM, van Buchem MA, Ferrari MD, Kruit MC.

Neurology. 2019 Aug 13;93(7):e688-e694. doi: 10.1212/WNL.0000000000007940. Epub 2019 Jul 11.

PMID:
31296653
17.

Dynamic Changes in White Matter Hyperintensities in Reversible Cerebral Vasoconstriction Syndrome.

Chen SP, Chou KH, Fuh JL, Huang YH, Huang CC, Lirng JF, Wang YF, Lin CP, Wang SJ.

JAMA Neurol. 2018 Sep 1;75(9):1106-1113. doi: 10.1001/jamaneurol.2018.1321.

18.

Pathways linking regional hyperintensities in the brain and slower gait.

Bolandzadeh N, Liu-Ambrose T, Aizenstein H, Harris T, Launer L, Yaffe K, Kritchevsky SB, Newman A, Rosano C.

Neuroimage. 2014 Oct 1;99:7-13. doi: 10.1016/j.neuroimage.2014.05.017. Epub 2014 May 17.

19.

A fully automated method for quantifying and localizing white matter hyperintensities on MR images.

Wu M, Rosano C, Butters M, Whyte E, Nable M, Crooks R, Meltzer CC, Reynolds CF 3rd, Aizenstein HJ.

Psychiatry Res. 2006 Dec 1;148(2-3):133-42. Epub 2006 Nov 13.

20.

Association of intracranial atherosclerotic stenosis with severity of white matter hyperintensities.

Park JH, Kwon HM, Lee J, Kim DS, Ovbiagele B.

Eur J Neurol. 2015 Jan;22(1):44-52, e2-3. doi: 10.1111/ene.12431. Epub 2014 Apr 9.

PMID:
24712717

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