Sick B - Search Results

1

Ultrasound and Clinical Predictors of Recurrent Ischemia in Symptomatic Internal Carotid Artery Occlusion.

Schneider J, Sick B, Luft AR, Wegener S. Schneider J, et al. Among authors: sick b. Stroke. 2015 Nov;46(11):3274-6. doi: 10.1161/STROKEAHA.115.011269. Epub 2015 Sep 17. Stroke. 2015. PMID: 26382172

2

Integrating uncertainty in deep neural networks for MRI based stroke analysis.

Herzog L, Murina E, Dürr O, Wegener S, Sick B. Herzog L, et al. Among authors: sick b. Med Image Anal. 2020 Oct;65:101790. doi: 10.1016/j.media.2020.101790. Epub 2020 Jul 19. Med Image Anal. 2020. PMID: 32801096 Free article.

3

Machine-learning-based outcome prediction in stroke patients with middle cerebral artery-M1 occlusions and early thrombectomy.

Hamann J, Herzog L, Wehrli C, Dobrocky T, Bink A, Piccirelli M, Panos L, Kaesmacher J, Fischer U, Stippich C, Luft AR, Gralla J, Arnold M, Wiest R, Sick B, Wegener S. Hamann J, et al. Among authors: sick b. Eur J Neurol. 2021 Apr;28(4):1234-1243. doi: 10.1111/ene.14651. Epub 2020 Dec 21. Eur J Neurol. 2021. PMID: 33220140 Free PMC article.

4

Deep transformation models for functional outcome prediction after acute ischemic stroke.

Herzog L, Kook L, Götschi A, Petermann K, Hänsel M, Hamann J, Dürr O, Wegener S, Sick B. Herzog L, et al. Among authors: sick b. Biom J. 2023 Aug;65(6):e2100379. doi: 10.1002/bimj.202100379. Epub 2022 Dec 9. Biom J. 2023. PMID: 36494091

5

Deep Learning Versus Neurologists: Functional Outcome Prediction in LVO Stroke Patients Undergoing Mechanical Thrombectomy.

Herzog L, Kook L, Hamann J, Globas C, Heldner MR, Seiffge D, Antonenko K, Dobrocky T, Panos L, Kaesmacher J, Fischer U, Gralla J, Arnold M, Wiest R, Luft AR, Sick B, Wegener S. Herzog L, et al. Among authors: sick b. Stroke. 2023 Jul;54(7):1761-1769. doi: 10.1161/STROKEAHA.123.042496. Epub 2023 Jun 14. Stroke. 2023. PMID: 37313740

6

Patients with a Normal Pressure Hydrocephalus Shunt Have Fewer Complications than Do Patients with Other Shunts.

Schenker P, Stieglitz LH, Sick B, Stienen MN, Regli L, Sarnthein J. Schenker P, et al. Among authors: sick b. World Neurosurg. 2018 Feb;110:e249-e257. doi: 10.1016/j.wneu.2017.10.151. Epub 2017 Nov 27. World Neurosurg. 2018. PMID: 29109063 Free article.

7

Sensitivities of in vivo markers of arterial organ damage in patients with peripheral atherosclerosis.

Frick M, Baumann F, Sick B, Wilkinson IB, Amann-Vesti B, Husmann M. Frick M, et al. Among authors: sick b. Vasa. 2018 Jan;47(1):30-35. doi: 10.1024/0301-1526/a000664. Epub 2017 Oct 5. Vasa. 2018. PMID: 28980510 Free article.

8

Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks.

Dürr O, Sick B. Dürr O, et al. Among authors: sick b. J Biomol Screen. 2016 Oct;21(9):998-1003. doi: 10.1177/1087057116631284. Epub 2016 Feb 12. J Biomol Screen. 2016. PMID: 26950929

9

Analysis of Prognostic Values of Various PET Metrics in Preoperative ¹⁸F-FDG PET for Early-Stage Bronchial Carcinoma for Progression-Free and Overall Survival: Significantly Increased Glycolysis Is a Predictive Factor.

Steiger S, Arvanitakis M, Sick B, Weder W, Hillinger S, Burger IA. Steiger S, et al. Among authors: sick b. J Nucl Med. 2017 Dec;58(12):1925-1930. doi: 10.2967/jnumed.117.189894. Epub 2017 May 10. J Nucl Med. 2017. PMID: 28490471 Free article.

10

Know When You Don't Know: A Robust Deep Learning Approach in the Presence of Unknown Phenotypes.

Dürr O, Murina E, Siegismund D, Tolkachev V, Steigele S, Sick B. Dürr O, et al. Among authors: sick b. Assay Drug Dev Technol. 2018 Aug/Sep;16(6):343-349. doi: 10.1089/adt.2018.859. Assay Drug Dev Technol. 2018. PMID: 30148665

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

62 results

Search Page

Filters