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A numerical evaluation of state reconstruction methods for heterogeneous cell populations.

, , , , , and . ECC, page 2926-2931. IEEE, (2015)

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Liver segmentation using Turbolift learning for CT and cone-beam C-arm perfusion imaging., , , , , , , , , and 2 other author(s). Comput. Biol. Medicine, (March 2023)A generalized method for computation of n-dimensional Radon transforms., , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132G. SPIE, (2020)Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging., , , , , , , , , and 2 other author(s). CoRR, (2022)A review of the image segmentation and registration methods in liver motion correction in C-arm perfusion imaging., , , and . ICAT, page 1-6. IEEE, (2019)Rigid Motion Compensation in Interventional C-arm CT Using Consistency Measure on Projection Data., and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 298-306. Springer, (2015)Beam Hardening Correction Using Cone Beam Consistency Conditions., , , , , and . IEEE Trans. Med. Imaging, 37 (10): 2266-2277 (2018)Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique., , , , , , , , , and 2 other author(s). CoRR, (2023)A novel approach to 2D/3D registration of X-ray images using Grangeat's relation., , and . Medical Image Anal., (2021)A numerical evaluation of state reconstruction methods for heterogeneous cell populations., , , , , and . ECC, page 2926-2931. IEEE, (2015)Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation Technique., , , , , , , , , and 2 other author(s). IPAS, page 1-7. IEEE, (2022)