Polgar-Turcsanyi M - Search Results

1

Gut Microbiome in Progressive Multiple Sclerosis.

Cox LM, Maghzi AH, Liu S, Tankou SK, Dhang FH, Willocq V, Song A, Wasén C, Tauhid S, Chu R, Anderson MC, De Jager PL, Polgar-Turcsanyi M, Healy BC, Glanz BI, Bakshi R, Chitnis T, Weiner HL. Cox LM, et al. Ann Neurol. 2021 Jun;89(6):1195-1211. doi: 10.1002/ana.26084. Epub 2021 Apr 30. Ann Neurol. 2021. PMID: 33876477 Free PMC article.

2

Multiple sclerosis medical image analysis and information management.

Liu L, Meier D, Polgar-Turcsanyi M, Karkocha P, Bakshi R, Guttmann CR. Liu L, et al. J Neuroimaging. 2005;15(4 Suppl):103S-117S. doi: 10.1177/1051228405282864. J Neuroimaging. 2005. PMID: 16385023 Review.

3

Increased relapse rate in pediatric-onset compared with adult-onset multiple sclerosis.

Gorman MP, Healy BC, Polgar-Turcsanyi M, Chitnis T. Gorman MP, et al. Arch Neurol. 2009 Jan;66(1):54-9. doi: 10.1001/archneurol.2008.505. Arch Neurol. 2009. PMID: 19139299

4

Using multiple imputation to efficiently correct cerebral MRI whole brain lesion and atrophy data in patients with multiple sclerosis.

Chua AS, Egorova S, Anderson MC, Polgar-Turcsanyi M, Chitnis T, Weiner HL, Guttmann CR, Bakshi R, Healy BC. Chua AS, et al. Neuroimage. 2015 Oct 1;119:81-8. doi: 10.1016/j.neuroimage.2015.06.037. Epub 2015 Jun 18. Neuroimage. 2015. PMID: 26093330

5

Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect models.

Chua AS, Egorova S, Anderson MC, Polgar-Turcsanyi M, Chitnis T, Weiner HL, Guttmann CR, Bakshi R, Healy BC. Chua AS, et al. Neuroimage Clin. 2015 Jul 2;8:606-10. doi: 10.1016/j.nicl.2015.06.009. eCollection 2015. Neuroimage Clin. 2015. PMID: 26199872 Free PMC article.

6

Evaluating the Association between Enlarged Perivascular Spaces and Disease Worsening in Multiple Sclerosis.

Cavallari M, Egorova S, Healy BC, Palotai M, Prieto JC, Polgar-Turcsanyi M, Tauhid S, Anderson M, Glanz B, Chitnis T, Guttmann CRG. Cavallari M, et al. J Neuroimaging. 2018 May;28(3):273-277. doi: 10.1111/jon.12490. Epub 2017 Dec 11. J Neuroimaging. 2018. PMID: 29226505

7

Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis.

Chitnis T, Glanz BI, Gonzalez C, Healy BC, Saraceno TJ, Sattarnezhad N, Diaz-Cruz C, Polgar-Turcsanyi M, Tummala S, Bakshi R, Bajaj VS, Ben-Shimol D, Bikhchandani N, Blocker AW, Burkart J, Cendrillon R, Cusack MP, Demiralp E, Jooste SK, Kharbouch A, Lee AA, Lehár J, Liu M, Mahadevan S, Murphy M, Norton LC, Parlikar TA, Pathak A, Shoeb A, Soderberg E, Stephens P, Stoertz AH, Thng F, Tumkur K, Wang H, Rhodes J, Rudick RA, Ransohoff RM, Phillips GA, Bruzik E, Marks WJ, Weiner HL, Snyder TM. Chitnis T, et al. NPJ Digit Med. 2019 Dec 11;2:123. doi: 10.1038/s41746-019-0197-7. eCollection 2019. NPJ Digit Med. 2019. PMID: 31840094 Free PMC article.

8

Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study.

Zhao Y, Wang T, Bove R, Cree B, Henry R, Lokhande H, Polgar-Turcsanyi M, Anderson M, Bakshi R, Weiner HL, Chitnis T; SUMMIT Investigators. Zhao Y, et al. NPJ Digit Med. 2020 Oct 16;3:135. doi: 10.1038/s41746-020-00338-8. eCollection 2020. NPJ Digit Med. 2020. PMID: 33083570 Free PMC article.

9

[No title available]

[No authors listed] [No authors listed] PMID: 33299125

10

Author Correction: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study.

Zhao Y, Wang T, Bove R, Cree B, Henry R, Lokhande H, Polgar-Turcsanyi M, Anderson M, Bakshi R, Weiner HL, Chitnis T; SUMMIT Investigators. Zhao Y, et al. NPJ Digit Med. 2020 Nov 20;3(1):155. doi: 10.1038/s41746-020-00361-9. NPJ Digit Med. 2020. PMID: 33299133 Free PMC article. No abstract available.

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