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Normalized gradient fields for nonlinear motion correction of DCE-MRI time series., , , and . Comput. Medical Imaging Graph., 38 (3): 202-210 (2014)An artificial neural network for GFR estimation in the DCE-MRI studies of the kidneys., , , , , and . SPA, page 286-291. IEEE, (2018)Rule-based data-driven approach for computer aided diagnosis of the peripheral zone prostate cancer from multiparametric MRI: Proof of concept., , , , , , , , and . SPA, page 90-95. IEEE, (2017)Reconstruction of high-resolution T2W MR images of the prostate using maximum a posteriori approach and Markov random field regularization., , , , , , , , and . SPA, page 96-99. IEEE, (2017)Dictionary-based through-plane interpolation of prostate cancer T2-weighted MR images., , , , , , , , and . SPA, page 168-173. IEEE, (2018)Assessment of 3D DCE-MRI of the kidneys using non-rigid image registration and segmentation of voxel time courses., , , , , , and . Comput. Medical Imaging Graph., 33 (3): 171-181 (2009)In Vivo Detection of Chronic Kidney Disease Using Tissue Deformation Fields From Dynamic MR Imaging., , , , , , , , , and 1 other author(s). IEEE Trans. Biomed. Eng., 66 (6): 1779-1790 (2019)Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidney., , , , , , and . SPA, page 292-297. IEEE, (2018)Wavelet-based segmentation of renal compartments in DCE-MRI of human kidney: Initial results in patients and healthy volunteers., , , , , , and . Comput. Medical Imaging Graph., 36 (2): 108-118 (2012)Visual Analysis of Tumor Control Models for Prediction of Radiotherapy Response., , , , , , and . Comput. Graph. Forum, 35 (3): 231-240 (2016)