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B

A. L. Bendinger, Debus, C., Glowa, C., Karger, C. P., Peter, J., and Storath, M., “Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models, in press”, Physics in Medicine and Biology, vol. 64, no. 4, 2019.

C

M. Baust, Weinmann, A., Wieczorek, M., Lasser, T., Storath, M., and Navab, N., “Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging based on a Riemannian Manifold Approach”, IEEE Transactions on Medical Imaging, vol. 35, no. 8, pp. 1972–1989, 2016.

Technical Report (8.65 MB)

E

M. Storath, Brandt, C., Hofmann, M., Knopp, T., Salamon, J., Weber, A., and Weinmann, A., “Edge preserving and noise reducing reconstruction for magnetic particle imaging”, IEEE Transactions on Medical Imaging, vol. 36, no. 1, pp. 74 - 85, 2017.

Technical Report (1.43 MB)

L. Kiefer, Storath, M., and Weinmann, A., “An efficient algorithm for the piecewise affine-linear Mumford-Shah model based on a Taylor jet splitting”, IEEE Transactions on Image Processing, vol. 29, 2019.

Technical Report (2.04 MB)

F

M. Storath and Weinmann, A., “Fast median filtering for phase or orientation data”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 3, pp. 639–652, 2018.

Technical Report (7.32 MB)

D. Fortun, Storath, M., Rickert, D., Weinmann, A., and Unser, M., “Fast Piecewise-Affine Motion Estimation Without Segmentation”, IEEE Transactions on Image Processing, vol. 27 , no. 11, pp. 5612 - 5624, 2018.

M. Storath, Rickert, D., Unser, M., and Weinmann, A., “Fast segmentation from blurred data in 3D fluorescence microscopy”, IEEE Transactions on Image Processing, vol. 26, no. 10, 2017.

J

A. Stefanoiu, Weinmann, A., Storath, M., Navab, N., and Baust, M., “Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm”, IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3384 - 3394, 2016.

Technical Report (3.55 MB)

M. Storath, Weinmann, A., and Unser, M., “Jump-penalized least absolute values estimation of scalar or circle-valued signals”, Information and Inference, vol. 6, no. 3, pp. 225–245, 2017.

Technical Report (3.4 MB)

L

M. Weiler, Hamprecht, F. A., and Storath, M., “Learning Steerable Filters for Rotation Equivariant CNNs”, CVPR. Proceedings. pp. 849-858, 2018.

Technical Report (1.35 MB)

M

W. Erb, Weinmann, A., Ahlborg, M., Brandt, C., Bringout, G., Buzug, T. M., Frikel, J., Kaethner, C., Knopp, T., März, T., Möddel, M., Storath, M., and Weber, A., “Mathematical Analysis of the 1D Model and Reconstruction Schemes for Magnetic Particle Imaging”, Inverse Problems, vol. 34, no. 5, 2018.

M. Kiechle, Storath, M., Weinmann, A., and Kleinsteuber, M., “Model-based learning of local image features for unsupervised texture segmentation”, IEEE Transactions on Image Processing, vol. 27, no. 4, pp. 1994-2007, 2018.

S

M. Storath, Kiefer, L., and Weinmann, A., “Smoothing for signals with discontinuities using higher order Mumford-Shah models”, Numerische Mathematik, vol. 143(2), pp. 423-460, 2019.

Technical Report (1.09 MB)

T

K. Bredies, Holler, M., Storath, M., and Weinmann, A., “Total Generalized Variation for Manifold-valued Data”, SIAM Journal on Imaging Sciences, vol. 11, no. 3, pp. 1785 - 1848, 2018.

M. Esposito, Hennersperger, C., Göbl, R., Demaret, L., Storath, M., Navab, N., Baust, M., and Weinmann, A., “Total variation regularization of pose signals with an application to 3D freehand ultrasound”, IEEE Transactions on Medical Imaging, vol. 38(10), pp. 2245-2258, 2019.