Schnabel JA - Search Results

1

A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth.

Roque T, Risser L, Kersemans V, Smart S, Allen D, Kinchesh P, Gilchrist S, Gomes AL, Schnabel JA, Chappell MA. Roque T, et al. Among authors: schnabel ja. IEEE Trans Med Imaging. 2018 Mar;37(3):724-732. doi: 10.1109/TMI.2017.2779811. IEEE Trans Med Imaging. 2018. PMID: 29533893

2

Motion correction and parameter estimation in dceMRI sequences: application to colorectal cancer.

Bhushan M, Schnabel JA, Risser L, Heinrich MP, Brady JM, Jenkinson M. Bhushan M, et al. Among authors: schnabel ja. Med Image Comput Comput Assist Interv. 2011;14(Pt 1):476-83. doi: 10.1007/978-3-642-23623-5_60. Med Image Comput Comput Assist Interv. 2011. PMID: 22003652

3

Piecewise-diffeomorphic image registration: application to the motion estimation between 3D CT lung images with sliding conditions.

Risser L, Vialard FX, Baluwala HY, Schnabel JA. Risser L, et al. Among authors: schnabel ja. Med Image Anal. 2013 Feb;17(2):182-93. doi: 10.1016/j.media.2012.10.001. Epub 2012 Nov 2. Med Image Anal. 2013. PMID: 23177000

4

Toward physiologically motivated registration of diagnostic CT and PET/CT of lung volumes.

Baluwala HY, Risser L, Schnabel JA, Saddi KA. Baluwala HY, et al. Among authors: schnabel ja. Med Phys. 2013 Feb;40(2):021903. doi: 10.1118/1.4771682. Med Phys. 2013. PMID: 23387751

5

Hybrid feature-based diffeomorphic registration for tumor tracking in 2-D liver ultrasound images.

Cifor A, Risser L, Chung D, Anderson EM, Schnabel JA. Cifor A, et al. Among authors: schnabel ja. IEEE Trans Med Imaging. 2013 Sep;32(9):1647-56. doi: 10.1109/TMI.2013.2262055. Epub 2013 May 7. IEEE Trans Med Imaging. 2013. PMID: 23674440

6

The impact of heterogeneity and uncertainty on prediction of response to therapy using dynamic MRI data.

Bhushan M, Schnabel JA, Chappell M, Gleeson F, Anderson M, Franklin J, Brady SM, Jenkinson M. Bhushan M, et al. Among authors: schnabel ja. Med Image Comput Comput Assist Interv. 2013;16(Pt 1):316-23. doi: 10.1007/978-3-642-40811-3_40. Med Image Comput Comput Assist Interv. 2013. PMID: 24505681

7

Complex lung motion estimation via adaptive bilateral filtering of the deformation field.

Papiez BW, Heinrich MP, Risser L, Schnabel JA. Papiez BW, et al. Among authors: schnabel ja. Med Image Comput Comput Assist Interv. 2013;16(Pt 3):25-32. doi: 10.1007/978-3-642-40760-4_4. Med Image Comput Comput Assist Interv. 2013. PMID: 24505740

8

An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration.

Papież BW, Heinrich MP, Fehrenbach J, Risser L, Schnabel JA. Papież BW, et al. Among authors: schnabel ja. Med Image Anal. 2014 Dec;18(8):1299-311. doi: 10.1016/j.media.2014.05.005. Epub 2014 Jun 9. Med Image Anal. 2014. PMID: 24968741

9

Improving In Vivo High-Resolution CT Imaging of the Tumour Vasculature in Xenograft Mouse Models through Reduction of Motion and Bone-Streak Artefacts.

Kersemans V, Kannan P, Beech JS, Bates R, Irving B, Gilchrist S, Allen PD, Thompson J, Kinchesh P, Casteleyn C, Schnabel J, Partridge M, Muschel RJ, Smart SC. Kersemans V, et al. PLoS One. 2015 Jun 5;10(6):e0128537. doi: 10.1371/journal.pone.0128537. eCollection 2015. PLoS One. 2015. PMID: 26046526 Free PMC article.

10

Comparison of linear and nonlinear implementation of the compartmental tissue uptake model for dynamic contrast-enhanced MRI.

Kallehauge JF, Sourbron S, Irving B, Tanderup K, Schnabel JA, Chappell MA. Kallehauge JF, et al. Among authors: schnabel ja. Magn Reson Med. 2017 Jun;77(6):2414-2423. doi: 10.1002/mrm.26324. Epub 2016 Sep 8. Magn Reson Med. 2017. PMID: 27605429 Free PMC article.

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