Ostwaldt AC - Search Results

1

Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA/FSL.

Opfer R, Ostwaldt AC, Walker-Egger C, Manogaran P, Sormani MP, De Stefano N, Schippling S. Opfer R, et al. Among authors: ostwaldt ac. J Neurol. 2018 May;265(5):1158-1165. doi: 10.1007/s00415-018-8825-8. Epub 2018 Mar 16. J Neurol. 2018. PMID: 29549466

2

Global and regional annual brain volume loss rates in physiological aging.

Schippling S, Ostwaldt AC, Suppa P, Spies L, Manogaran P, Gocke C, Huppertz HJ, Opfer R. Schippling S, et al. Among authors: ostwaldt ac. J Neurol. 2017 Mar;264(3):520-528. doi: 10.1007/s00415-016-8374-y. Epub 2017 Jan 4. J Neurol. 2017. PMID: 28054131

3

Estimates of age-dependent cutoffs for pathological brain volume loss using SIENA/FSL-a longitudinal brain volumetry study in healthy adults.

Opfer R, Ostwaldt AC, Sormani MP, Gocke C, Walker-Egger C, Manogaran P, De Stefano N, Schippling S. Opfer R, et al. Among authors: ostwaldt ac. Neurobiol Aging. 2018 May;65:1-6. doi: 10.1016/j.neurobiolaging.2017.12.024. Epub 2017 Dec 30. Neurobiol Aging. 2018. PMID: 29407463

4

MRI-Based Brain Volumetry at a Single Time Point Complements Clinical Evaluation of Patients With Multiple Sclerosis in an Outpatient Setting.

Raji A, Ostwaldt AC, Opfer R, Suppa P, Spies L, Winkler G. Raji A, et al. Among authors: ostwaldt ac. Front Neurol. 2018 Jul 25;9:545. doi: 10.3389/fneur.2018.00545. eCollection 2018. Front Neurol. 2018. PMID: 30140245 Free PMC article.

5

Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs.

Gessert N, Krüger J, Opfer R, Ostwaldt AC, Manogaran P, Kitzler HH, Schippling S, Schlaefer A. Gessert N, et al. Among authors: ostwaldt ac. Comput Med Imaging Graph. 2020 Sep;84:101772. doi: 10.1016/j.compmedimag.2020.101772. Epub 2020 Aug 8. Comput Med Imaging Graph. 2020. PMID: 32795845

6

Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks.

Krüger J, Opfer R, Gessert N, Ostwaldt AC, Manogaran P, Kitzler HH, Schlaefer A, Schippling S. Krüger J, et al. Among authors: ostwaldt ac. Neuroimage Clin. 2020;28:102445. doi: 10.1016/j.nicl.2020.102445. Epub 2020 Sep 24. Neuroimage Clin. 2020. PMID: 33038667 Free PMC article.

7

Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks.

Krüger J, Ostwaldt AC, Spies L, Geisler B, Schlaefer A, Kitzler HH, Schippling S, Opfer R. Krüger J, et al. Among authors: ostwaldt ac. Eur Radiol. 2022 Apr;32(4):2798-2809. doi: 10.1007/s00330-021-08329-3. Epub 2021 Oct 13. Eur Radiol. 2022. PMID: 34643779

8

Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability.

Opfer R, Krüger J, Spies L, Ostwaldt AC, Kitzler HH, Schippling S, Buchert R. Opfer R, et al. Among authors: ostwaldt ac. Eur Radiol. 2023 Mar;33(3):1852-1861. doi: 10.1007/s00330-022-09170-y. Epub 2022 Oct 20. Eur Radiol. 2023. PMID: 36264314 Free PMC article.

9

DCE-MRI blood-brain barrier assessment in acute ischemic stroke.

Villringer K, Sanz Cuesta BE, Ostwaldt AC, Grittner U, Brunecker P, Khalil AA, Schindler K, Eisenblätter O, Audebert H, Fiebach JB. Villringer K, et al. Among authors: ostwaldt ac. Neurology. 2017 Jan 31;88(5):433-440. doi: 10.1212/WNL.0000000000003566. Epub 2016 Dec 28. Neurology. 2017. PMID: 28031392 Clinical Trial.

10

Natural course of total mismatch and predictors for tissue infarction.

Hotter B, Ostwaldt AC, Levichev-Connolly A, Rozanski M, Audebert HJ, Fiebach JB. Hotter B, et al. Among authors: ostwaldt ac. Neurology. 2015 Sep 1;85(9):770-5. doi: 10.1212/WNL.0000000000001889. Epub 2015 Jul 31. Neurology. 2015. PMID: 26231256

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