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1.
Kiefer, L.* ; Storath, M.* & Weinmann, A.: An efficient algorithm for the piecewise affine-linear Mumford-Shah model based on a Taylor jet splitting. IEEE Trans. Image Process. 29, 921-933 (2020)
2.
Fortun, D.* ; Storath, M.* ; Rickert, D. ; Weinmann, A. & Unser, M.*: Fast piecewise-affine motion estimation without segmentation. IEEE Trans. Image Process. 27, 5612-5624 (2018)
3.
Kiechle, M.* ; Storath, M.* ; Weinmann, A. & Kleinsteuber, M.*: Model-based learning of local image features for unsupervised texture segmentation. IEEE Trans. Image Process. 27, 1994-2007 (2018)
4.
Storath, M.* ; Rickert, D. ; Unser, M.* & Weinmann, A.: Fast segmentation from blurred data in 3D fluorescence microscopy. IEEE Trans. Image Process. 26, 4856-4870 (2017)
5.
Stefanoiu, A. ; Weinmann, A. ; Storath, M.* ; Navab, N.* & Baust, M.*: Joint segmentation and shape regularization with a generalized forward backward algorithm. IEEE Trans. Image Process. 25, 3384-3394 (2016)
6.
Jin, A.* ; Yazici, B.* & Ntziachristos, V.: Light illumination and detection patterns for fluorescence diffuse optical tomography based on compressive sensing. IEEE Trans. Image Process. 23, 2609-2624 (2014)
7.
Held, S.* ; Storath, M.* ; Massopust, P. & Forster, B.: Steerable wavelet frames based on the Riesz transform. IEEE Trans. Image Process. 19, 653-667 (2010)
8.
Condat, L. ; van de Ville, D.* & Forster-Heinlein, B.: Reversible, fast, and high-quality grid conversions. IEEE Trans. Image Process. 17, 679-693 (2008)
9.
Condat, L. & van de Ville, D.*: Quasi-interpolating spline models for hexagonally-sampled data. IEEE Trans. Image Process. 16, 1195-1206 (2007)
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