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ORCIDMichael Unser
Michael A. Unser
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2024
[j273]Michael Unser:
From Kernel Methods to Neural Networks: A Unifying Variational Formulation. Found. Comput. Math. 24(6): 1779-1818 (2024)- [j272]Alexis Goujon
, Arian Etemadi, Michael Unser:
On the number of regions of piecewise linear neural networks. J. Comput. Appl. Math. 441: 115667 (2024) - [j271]Sebastian Neumayer, Lénaïc Chizat, Michael Unser:
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks. J. Mach. Learn. Res. 25: 15:1-15:24 (2024) - [j270]Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser:
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. J. Mach. Learn. Res. 25: 65:1-65:30 (2024) - [j269]Aleix Boquet-Pujadas, Pol del Aguila Pla, Michael Unser:
Sensitivity-Aware Density Estimation in Multiple Dimensions. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7120-7135 (2024) - [j268]Alexis Goujon, Sebastian Neumayer, Michael Unser:
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. SIAM J. Imaging Sci. 17(1): 91-115 (2024) - [j267]Rahul Parhi, Michael Unser:
Distributional Extension and Invertibility of the \(\boldsymbol{k}\)-Plane Transform and Its Dual. SIAM J. Math. Anal. 56(4): 4662-4686 (2024) - [j266]Mehrsa Pourya, Aleix Boquet-Pujadas, Michael Unser:
A Box-Spline Framework for Inverse Problems With Continuous-Domain Sparsity Constraints. IEEE Trans. Computational Imaging 10: 790-805 (2024) - [c229]Stanislas Ducotterd, Sebastian Neumayer, Michael Unser:
Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium. ICASSP 2024: 2031-2035 - [c228]Mehrsa Pourya, Youssef Haouchat, Michael Unser:
A Continuous-Domain Solution for Computed Tomography with Hessian Total-Variation Regularization. ISBI 2024: 1-5 - [d4]Yan Liu, Jonathan Chuah, Andre C. Stiel, Michael Unser, Jonathan Dong:
Quantitative Unmixing in Photoswitching Optoacoustic Tomography. Zenodo, 2024
- [i60]Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa Pourya, Michael Unser:
Random ReLU Neural Networks as Non-Gaussian Processes. CoRR abs/2405.10229 (2024) - [i59]Mehrsa Pourya, Sebastian Neumayer, Michael Unser:
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers. CoRR abs/2407.06608 (2024) - [i58]Sébastien Herbreteau, Michael Unser:
Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising. CoRR abs/2407.17399 (2024) - [i57]Michael Unser, Stanislas Ducotterd:
Parseval Convolution Operators and Neural Networks. CoRR abs/2408.09981 (2024) - [i56]Michael Unser, Alexis Goujon, Stanislas Ducotterd:
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures. CoRR abs/2408.13114 (2024) - 2023
- [j265]Michael Unser:
Ridges, Neural Networks, and the Radon Transform. J. Mach. Learn. Res. 24: 37:1-37:33 (2023) - [j264]Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser:
Approximation of Lipschitz Functions Using Deep Spline Neural Networks. SIAM J. Math. Data Sci. 5(2): 306-322 (2023) - [j263]Shayan Aziznejad, Joaquim Campos, Michael Unser:
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation. SIAM J. Math. Data Sci. 5(2): 422-445 (2023) - [j262]Rahul Parhi, Michael Unser:
The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems. IEEE Signal Process. Lett. 30: 568-572 (2023) - [j261]Jonathan Dong, Lorenzo Valzania, Antoine Maillard, Thanh-An Pham, Sylvain Gigan, Michael Unser:
Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial. IEEE Signal Process. Mag. 40(1): 45-57 (2023) - [j260]Selin Aviyente, Alejandro F. Frangi, Erik Meijering, Arrate Muñoz-Barrutia, Michael Liebling, Dimitri Van De Ville, Jean-Christophe Olivo-Marin, Jelena Kovacevic, Michael Unser:
From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee. IEEE Signal Process. Mag. 40(4): 61-71 (2023) - [j259]Pol del Aguila Pla, Sebastian Neumayer, Michael Unser:
Stability of Image-Reconstruction Algorithms. IEEE Trans. Computational Imaging 9: 1-12 (2023) - [j258]Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser:
A Neural-Network-Based Convex Regularizer for Inverse Problems. IEEE Trans. Computational Imaging 9: 781-795 (2023) - [j257]Pakshal Bohra, Pol del Aguila Pla, Jean-François Giovannelli, Michael Unser:
A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods. IEEE Trans. Signal Process. 71: 2043-2055 (2023) - [c227]Aleix Boquet-Pujadas, Pol del Aguila Pla, Michael Unser:
PET Rebinning with Regularized Density Splines. ISBI 2023: 1-4 - [c226]Yekta Kesenci, Aleix Boquet-Pujadas, Michael Unser, Jean-Christophe Olivo-Marin:
Probing Intracellular Elasticity with Minimal-Hessian Registration. ISBI 2023: 1-5 - [c225]Kay Lächler, Hélène Lajous, Michael Unser, Meritxell Bach Cuadra, Pol del Aguila Pla:
Self-Supervised Isotropic Superresolution Fetal Brain MRI. ISBI 2023: 1-5 - [i55]Sebastian Neumayer, Lénaïc Chizat, Michael Unser:
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks. CoRR abs/2303.17805 (2023) - [i54]Alexis Goujon, Sebastian Neumayer, Michael Unser:
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. CoRR abs/2308.10542 (2023) - [i53]Yan Liu, Jonathan Dong, Thanh-An Pham, François Marelli, Michael Unser:
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. CoRR abs/2309.16677 (2023) - [i52]Rahul Parhi, Michael Unser:
Banach Space Optimality of Neural Architectures With Multivariate Nonlinearities. CoRR abs/2310.03696 (2023) - 2022
- [j256]Virginie Uhlmann, Zsuzsanna Püspöki, Adrien Depeursinge, Michael Unser, Daniel Sage, Julien Fageot:
Steer'n'Detect: fast 2D template detection with accurate orientation estimation. Bioinform. 38(11): 3146-3148 (2022) - [j255]Thomas Debarre, Quentin Denoyelle, Michael Unser, Julien Fageot:
Sparsest piecewise-linear regression of one-dimensional data. J. Comput. Appl. Math. 406: 114044 (2022) - [j254]Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser:
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors. IEEE Trans. Computational Imaging 8: 1237-1249 (2022) - [j253]Icíar Lloréns Jover, Thomas Debarre, Shayan Aziznejad, Michael Unser:
Coupled Splines for Sparse Curve Fitting. IEEE Trans. Image Process. 31: 4707-4718 (2022) - [c224]Pol del Aguila Pla, Michael Unser:
Bona Fide Riesz Projections for Density Estimation. ICASSP 2022: 5613-5616 - [c223]Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser:
Asymptotic Stability in Reservoir Computing. IJCNN 2022: 1-8 - [d3]Yan Liu, Jonathan Dong, Thanh-An Pham, François Marelli, Michael Unser:
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. Zenodo, 2022 - [d2]Yan Liu, Jonathan Dong, Cédric Schmidt, Aleix Boquet-Pujadas, Jérôme Extermann, Michael Unser:
Dataset provided with "Artifacts in Optical Projection Tomography Due to Refractive-Index Mismatch: Model and Correction". Zenodo, 2022 - [i51]Alexis Goujon, Joaquim Campos, Michael Unser:
Stable Parametrization of Continuous and Piecewise-Linear Functions. CoRR abs/2203.05261 (2022) - [i50]Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser:
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors. CoRR abs/2203.10078 (2022) - [i49]Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser:
Approximation of Lipschitz Functions using Deep Spline Neural Networks. CoRR abs/2204.06233 (2022) - [i48]Pol del Aguila Pla, Michael Unser:
Bona fide Riesz projections for density estimation. CoRR abs/2204.13606 (2022) - [i47]Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser:
Asymptotic Stability in Reservoir Computing. CoRR abs/2206.03854 (2022) - [i46]Pol del Aguila Pla, Sebastian Neumayer, Michael Unser:
Stability of image reconstruction algorithms. CoRR abs/2206.07128 (2022) - [i45]Alexis Goujon, Arian Etemadi, Michael Unser:
The Role of Depth, Width, and Activation Complexity in the Number of Linear Regions of Neural Networks. CoRR abs/2206.08615 (2022) - [i44]Michael Unser:
From Kernel Methods to Neural Networks: A Unifying Variational Formulation. CoRR abs/2206.14625 (2022) - [i43]Mehrsa Pourya, Alexis Goujon, Michael Unser:
Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization. CoRR abs/2208.07787 (2022) - [i42]Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser:
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. CoRR abs/2210.16222 (2022) - [i41]Kay Lächler, Hélène Lajous, Michael Unser, Meritxell Bach Cuadra, Pol del Aguila Pla:
Self-Supervised Isotropic Superresolution Fetal Brain MRI. CoRR abs/2211.06502 (2022) - [i40]Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser:
A Neural-Network-Based Convex Regularizer for Image Reconstruction. CoRR abs/2211.12461 (2022) - 2021
- [j252]Michael Unser:
A Unifying Representer Theorem for Inverse Problems and Machine Learning. Found. Comput. Math. 21(4): 941-960 (2021) - [j251]Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser:
Shortest-support multi-spline bases for generalized sampling. J. Comput. Appl. Math. 395: 113610 (2021) - [j250]Shayan Aziznejad, Michael Unser:
Multikernel Regression with Sparsity Constraint. SIAM J. Math. Data Sci. 3(1): 201-224 (2021) - [j249]Harshit Gupta, Michael T. McCann, Laurène Donati, Michael Unser:
CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning. IEEE Trans. Computational Imaging 7: 759-774 (2021) - [j248]Julien Fageot, Virginie Uhlmann, Zsuzsanna Püspöki, Benjamin Beck, Michael Unser, Adrien Depeursinge:
Principled Design and Implementation of Steerable Detectors. IEEE Trans. Image Process. 30: 4465-4478 (2021) - [j247]Anaïs Badoual, Lucia Romani, Michael Unser:
Active Subdivision Surfaces for the Semiautomatic Segmentation of Biomedical Volumes. IEEE Trans. Image Process. 30: 5739-5753 (2021) - [j246]Fangshu Yang, Thanh-An Pham, Nathalie Brandenberg, Matthias P. Lütolf, Jianwei Ma, Michael Unser:
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging. IEEE Trans. Image Process. 30: 7025-7037 (2021) - [j245]Jaejun Yoo, Kyong Hwan Jin, Harshit Gupta, Jérôme Yerly, Matthias Stuber, Michael Unser:
Time-Dependent Deep Image Prior for Dynamic MRI. IEEE Trans. Medical Imaging 40(12): 3337-3348 (2021) - [c222]Quentin Denoyelle, Thanh-An Pham, Pol del Aguila Pla, Daniel Sage, Michael Unser:
Optimal-Transport-Based Metric For SMLM. ISBI 2021: 797-801 - [c221]Thanh-An Pham, Emmanuel Soubies, Ferréol Soulez, Michael Unser:
Diffraction Tomography From Single-Molecule Localization Microscopy: Numerical Feasibility. ISBI 2021: 854-857 - [c220]Mehrsa Pourya, Shayan Aziznejad, Michael Unser, Daniel Sage:
Graphic: Graph-Based Hierarchical Clustering For Single-Molecule Localization Microscopy. ISBI 2021: 1892-1896 - [i39]Shayan Aziznejad, Joaquim Campos, Michael Unser:
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total-Variation. CoRR abs/2112.06209 (2021) - [i38]Shayan Aziznejad, Thomas Debarre, Michael Unser:
Sparsest Univariate Learning Models Under Lipschitz Constraint. CoRR abs/2112.13542 (2021) - 2020
- [j244]Julien Fageot, Shayan Aziznejad, Michael Unser, Virginie Uhlmann:
Support and approximation properties of Hermite splines. J. Comput. Appl. Math. 368 (2020) - [j243]Anna Song, Virginie Uhlmann, Julien Fageot, Michael Unser:
Dictionary Learning for Two-Dimensional Kendall Shapes. SIAM J. Imaging Sci. 13(1): 141-175 (2020) - [j242]Thanh-An Pham, Emmanuel Soubies, Ahmed B. Ayoub, JooWon Lim, Demetri Psaltis, Michael Unser:
Three-Dimensional Optical Diffraction Tomography With Lippmann-Schwinger Model. IEEE Trans. Computational Imaging 6: 727-738 (2020) - [j241]Mona Zehni, Laurène Donati, Emmanuel Soubies, Zhizhen Zhao, Michael Unser:
Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM. IEEE Trans. Image Process. 29: 6151-6163 (2020) - [j240]Leello Dadi, Shayan Aziznejad, Michael Unser:
Generating Sparse Stochastic Processes Using Matched Splines. IEEE Trans. Signal Process. 68: 4397-4406 (2020) - [j239]Pakshal Bohra, Michael Unser:
Continuous-Domain Signal Reconstruction Using $L_{p}$-Norm Regularization. IEEE Trans. Signal Process. 68: 4543-4554 (2020) - [j238]Shayan Aziznejad, Harshit Gupta, Joaquim Campos, Michael Unser:
Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant. IEEE Trans. Signal Process. 68: 4688-4699 (2020) - [j237]Michael Unser:
A Note on BIBO Stability. IEEE Trans. Signal Process. 68: 5904-5913 (2020) - [c219]Harshit Gupta, Thong H. Phan, Jaejun Yoo, Michael Unser:
Multi-CryoGAN: Reconstruction of Continuous Conformations in Cryo-EM Using Generative Adversarial Networks. ECCV Workshops (1) 2020: 429-444 - [c218]Shayan Aziznejad, Emmanuel Soubies, Michael Unser:
Dictionary Learning with Statistical Sparsity in the Presence of Noise. EUSIPCO 2020: 2026-2029 - [c217]Pakshal Bohra, Michael Unser:
Computation of "Best" Interpolants in the Lp Sense. ICASSP 2020: 5505-5509 - [c216]Thanh-An Pham, Emmanuel Soubies, Ahmed B. Ayoub, Demetri Psaltis, Michael Unser:
Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography. ISBI 2020: 182-186 - [c215]Thomas Debarre, Benjamin Watts, Benedikt Rösner, Michael Unser:
Hessian Splines for Scanning Transmission X-Ray Microscopy. ISBI 2020: 199-202 - [d1]Michael T. McCann, Vincent Andrearczyk, Michael Unser, Adrien Depeursinge:
Code for "Fast Rotational Sparse Coding". Zenodo, 2020 - [i37]Shayan Aziznejad, Harshit Gupta, Joaquim Campos, Michael Unser:
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant. CoRR abs/2001.06263 (2020) - [i36]Fangshu Yang, Thanh-An Pham, Nathalie Brandenberg, Matthias P. Lütolf, Jianwei Ma, Michael Unser:
Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging. CoRR abs/2009.11554 (2020) - [i35]Quentin Denoyelle, Thanh-An Pham, Pol del Aguila Pla, Daniel Sage, Michael Unser:
Optimal transport-based metric for SMLM. CoRR abs/2010.13423 (2020) - [i34]Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser:
Shortest Multi-Spline Bases for Generalized Sampling. CoRR abs/2012.08954 (2020)
2010 – 2019
- 2019
- [j236]Anaïs Badoual, Michael Unser, Adrien Depeursinge:
Texture-driven parametric snakes for semi-automatic image segmentation. Comput. Vis. Image Underst. 188 (2019) - [j235]Michael T. McCann, Michael Unser:
Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks. Found. Trends Signal Process. 13(3): 283-359 (2019) - [j234]Michael Unser:
A Representer Theorem for Deep Neural Networks. J. Mach. Learn. Res. 20: 110:1-110:30 (2019) - [j233]Zsuzsanna Püspöki, Julien Fageot, Arash Amini, John Paul Ward, Michael Unser:
Angular Accuracy of Steerable Feature Detectors. SIAM J. Imaging Sci. 12(1): 344-371 (2019) - [j232]Emmanuel Soubies, Michael Unser:
Computational Super-Sectioning for Single-Slice Structured-Illumination Microscopy. IEEE Trans. Computational Imaging 5(2): 240-250 (2019) - [j231]Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser:
B-Spline-Based Exact Discretization of Continuous-Domain Inverse Problems With Generalized TV Regularization. IEEE Trans. Inf. Theory 65(7): 4457-4470 (2019) - [j230]Thomas Debarre, Shayan Aziznejad, Michael Unser:
Hybrid-Spline Dictionaries for Continuous-Domain Inverse Problems. IEEE Trans. Signal Process. 67(22): 5824-5836 (2019) - [c214]Mona Zehni, Laurène Donati, Emmanuel Soubies, Zhizhen Zhao, Minh N. Do, Michael Unser:
Joint density map and continuous angular refinement in cryo-electron microscopy. Computational Imaging 2019 - [c213]Shayan Aziznejad, Michael Unser:
Deep Spline Networks with Control of Lipschitz Regularity. ICASSP 2019: 3242-3246 - [c212]Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser:
Solving Continuous-domain Problems Exactly with Multiresolution B-splines. ICASSP 2019: 5122-5126 - [c211]Laurène Donati, Emmanuel Soubies, Michael Unser:
Inner-Loop-Free Admm For Cryo-Em. ISBI 2019: 307-311 - [c210]Thanh-An Pham, Emmanuel Soubies, Daniel Sage, Michael Unser:
Closed-Form Expression Of The Fourier Ring-Correlation For Single-Molecule Localization Microscopy. ISBI 2019: 321-324 - [c209]Anais Badoual, Aymeric Galan, Daniel Sage, Michael Unser:
Deforming Tessellations For The Segmentation Of Cell Aggregates. ISBI 2019: 1013-1017 - [c208]Lucia Romani, Anaïs Badoual, Michael Unser:
Normal-Based Interpolating Subdivision for the Geometric Representation of Deformable Models. ISBI 2019: 1839-1843 - [i33]Kyong Hwan Jin, Michael Unser, Kwang Moo Yi:
Self-Supervised Deep Active Accelerated MRI. CoRR abs/1901.04547 (2019) - [i32]Kyong Hwan Jin, Harshit Gupta, Jerome Yerly, Matthias Stuber, Michael Unser:
Time-Dependent Deep Image Prior for Dynamic MRI. CoRR abs/1910.01684 (2019) - 2018
- [j229]Virginie Uhlmann, Carsten Haubold, Fred A. Hamprecht, Michael Unser:
DiversePathsJ: diverse shortest paths for bioimage analysis. Bioinform. 34(3): 538-540 (2018) - [j228]Daniel Schmitter, Michael Unser:
Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the Continuous Domain. IEEE Trans. Image Process. 27(1): 365-378 (2018) - [j227]Junhong Min, Kyong Hwan Jin, Michael Unser, Jong Chul Ye:
Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy. IEEE Trans. Image Process. 27(10): 4771-4786 (2018) - [j226]Denis Fortun, Martin Storath, Dennis Rickert, Andreas Weinmann, Michael Unser:
Fast Piecewise-Affine Motion Estimation Without Segmentation. IEEE Trans. Image Process. 27(11): 5612-5624 (2018) - [j225]Denis Fortun, Paul Guichard, Virginie Hamel, Carlos Oscar Sánchez Sorzano, Niccolo Banterle, Pierre Gonczy, Michael Unser:
Reconstruction From Multiple Particles for 3D Isotropic Resolution in Fluorescence Microscopy. IEEE Trans. Medical Imaging 37(5): 1235-1246 (2018) - [j224]Harshit Gupta, Kyong Hwan Jin, Ha Q. Nguyen, Michael T. McCann, Michael Unser:
CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction. IEEE Trans. Medical Imaging 37(6): 1440-1453 (2018) - [j223]Ha Q. Nguyen, Emrah Bostan, Michael Unser:
Learning Convex Regularizers for Optimal Bayesian Denoising. IEEE Trans. Signal Process. 66(4): 1093-1105 (2018) - [j222]Harshit Gupta, Julien Fageot, Michael Unser:
Continuous-Domain Solutions of Linear Inverse Problems With Tikhonov Versus Generalized TV Regularization. IEEE Trans. Signal Process. 66(17): 4670-4684 (2018) - [j221]Anais Badoual, Julien Fageot, Michael Unser:
Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems. IEEE Trans. Signal Process. 66(22): 6047-6061 (2018) - [c207]Michael T. McCann, Laura Vilaclara, Michael Unser:
Region of interest X-ray computed tomography via corrected back projection. ISBI 2018: 65-69 - [c206]Kyong Hwan Jin, Michael Unser:
3D BBPConvNet to reconstruct parallel MRI. ISBI 2018: 361-364 - [c205]Thanh-An Pham, Emmanuel Soubies, JooWon Lim, Alexandre Goy, Ferréol Soulez, Demetri Psaltis, Michael Unser:
Phaseless diffraction tomography with regularized beam propagation. ISBI 2018: 1268-1271 - [c204]Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser:
Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. MLMI@MICCAI 2018: 107-115 - [i31]Harshit Gupta, Julien Fageot, Michael Unser:
Continuous-Domain Solutions of Linear Inverse Problems with Tikhonov vs. Generalized TV Regularization. CoRR abs/1802.01344 (2018) - [i30]Denis Fortun, Martin Storath, Dennis Rickert, Andreas Weinmann, Michael Unser:
Fast Piecewise-Affine Motion Estimation Without Segmentation. CoRR abs/1802.01872 (2018) - [i29]