Kowarschik M - Search Results

1

X-Ray Scatter Estimation Using Deep Splines.

Roser P, Birkhold A, Preuhs A, Syben C, Felsner L, Hoppe E, Strobel N, Kowarschik M, Fahrig R, Maier A. Roser P, et al. Among authors: kowarschik m. IEEE Trans Med Imaging. 2021 Sep;40(9):2272-2283. doi: 10.1109/TMI.2021.3074712. Epub 2021 Aug 31. IEEE Trans Med Imaging. 2021. PMID: 33881991

2

Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details.

Fieselmann A, Kowarschik M, Ganguly A, Hornegger J, Fahrig R. Fieselmann A, et al. Among authors: kowarschik m. Int J Biomed Imaging. 2011;2011:467563. doi: 10.1155/2011/467563. Epub 2011 Aug 28. Int J Biomed Imaging. 2011. PMID: 21904538 Free PMC article.

3

Dynamic iterative reconstruction for interventional 4-D C-arm CT perfusion imaging.

Manhart MT, Kowarschik M, Fieselmann A, Deuerling-Zheng Y, Royalty K, Maier AK, Hornegger J. Manhart MT, et al. Among authors: kowarschik m. IEEE Trans Med Imaging. 2013 Jul;32(7):1336-48. doi: 10.1109/TMI.2013.2257178. Epub 2013 Apr 5. IEEE Trans Med Imaging. 2013. PMID: 23568497

4

Denoising and artefact reduction in dynamic flat detector CT perfusion imaging using high speed acquisition: first experimental and clinical results.

Manhart MT, Aichert A, Struffert T, Deuerling-Zheng Y, Kowarschik M, Maier AK, Hornegger J, Doerfler A. Manhart MT, et al. Among authors: kowarschik m. Phys Med Biol. 2014 Aug 21;59(16):4505-24. doi: 10.1088/0031-9155/59/16/4505. Epub 2014 Jul 28. Phys Med Biol. 2014. PMID: 25069101

5

Patient-individualized boundary conditions for CFD simulations using time-resolved 3D angiography.

Boegel M, Gehrisch S, Redel T, Rohkohl C, Hoelter P, Doerfler A, Maier A, Kowarschik M. Boegel M, et al. Among authors: kowarschik m. Int J Comput Assist Radiol Surg. 2016 Jun;11(6):1061-9. doi: 10.1007/s11548-016-1367-6. Epub 2016 Mar 26. Int J Comput Assist Radiol Surg. 2016. PMID: 27017497

6

A photon recycling approach to the denoising of ultra-low dose X-ray sequences.

Hariharan SG, Strobel N, Kaethner C, Kowarschik M, Demirci S, Albarqouni S, Fahrig R, Navab N. Hariharan SG, et al. Among authors: kowarschik m. Int J Comput Assist Radiol Surg. 2018 Jun;13(6):847-854. doi: 10.1007/s11548-018-1746-2. Epub 2018 Apr 10. Int J Comput Assist Radiol Surg. 2018. PMID: 29637486

7

Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair.

Breininger K, Albarqouni S, Kurzendorfer T, Pfister M, Kowarschik M, Maier A. Breininger K, et al. Among authors: kowarschik m. Int J Comput Assist Radiol Surg. 2018 Aug;13(8):1221-1231. doi: 10.1007/s11548-018-1779-6. Epub 2018 May 19. Int J Comput Assist Radiol Surg. 2018. PMID: 29779153

8

A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model.

Zhong X, Strobel N, Birkhold A, Kowarschik M, Fahrig R, Maier A. Zhong X, et al. Among authors: kowarschik m. Int J Comput Assist Radiol Surg. 2019 Jan;14(1):53-61. doi: 10.1007/s11548-018-1871-y. Epub 2018 Oct 13. Int J Comput Assist Radiol Surg. 2019. PMID: 30317437

9

A learning-based material decomposition pipeline for multi-energy x-ray imaging.

Lu Y, Kowarschik M, Huang X, Xia Y, Choi JH, Chen S, Hu S, Ren Q, Fahrig R, Hornegger J, Maier A. Lu Y, et al. Among authors: kowarschik m. Med Phys. 2019 Feb;46(2):689-703. doi: 10.1002/mp.13317. Epub 2018 Dec 24. Med Phys. 2019. PMID: 30508253

10

An analytical approach for the simulation of realistic low-dose fluoroscopic images.

Hariharan SG, Strobel N, Kaethner C, Kowarschik M, Fahrig R, Navab N. Hariharan SG, et al. Among authors: kowarschik m. Int J Comput Assist Radiol Surg. 2019 Apr;14(4):601-610. doi: 10.1007/s11548-019-01912-6. Epub 2019 Feb 18. Int J Comput Assist Radiol Surg. 2019. PMID: 30779022

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