Michael Unser

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 153

Top Venues

CoRR

ISBI

IEEE Trans. Image Process.

IEEE Trans. Signal Process.

Publications

Mehrsa Pourya, Sebastian Neumayer, Michael Unser
Iteratively Refined Image Reconstruction with Learned Attentive Regularizers. CoRR (2024)
Stanislas Ducotterd, Sebastian Neumayer, Michael Unser
Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium. ICASSP (2024)
Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa Pourya, Michael Unser
Random ReLU Neural Networks as Non-Gaussian Processes. CoRR (2024)
Sébastien Herbreteau, Michael Unser
Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising. CoRR (2024)
Alexis Goujon, Arian Etemadi, Michael Unser
On the number of regions of piecewise linear neural networks. J. Comput. Appl. Math. 441 (2024)
Mehrsa Pourya, Aleix Boquet-Pujadas, Michael Unser
A Box-Spline Framework for Inverse Problems With Continuous-Domain Sparsity Constraints. IEEE Trans. Computational Imaging 10 (2024)
Rahul Parhi, Michael Unser
Distributional Extension and Invertibility of the $\boldsymbol{k}$-Plane Transform and Its Dual. SIAM J. Math. Anal. 56 (4) (2024)
Alexis Goujon, Sebastian Neumayer, Michael Unser
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. SIAM J. Imaging Sci. 17 (1) (2024)
Sebastian Neumayer, Lénaïc Chizat, Michael Unser
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks. CoRR (2023)
Rahul Parhi, Michael Unser
Banach Space Optimality of Neural Architectures With Multivariate Nonlinearities. CoRR (2023)
Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser
A Neural-Network-Based Convex Regularizer for Inverse Problems. IEEE Trans. Computational Imaging 9 (2023)
Shayan Aziznejad, Joaquim Campos, Michael Unser
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation. SIAM J. Math. Data Sci. 5 (2) (2023)
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) (2023)
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) (2023)
Aleix Boquet-Pujadas, Pol del Aguila Pla, Michael Unser
PET Rebinning with Regularized Density Splines. ISBI (2023)
Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser
Approximation of Lipschitz Functions Using Deep Spline Neural Networks. SIAM J. Math. Data Sci. 5 (2) (2023)
Michael Unser
Ridges, Neural Networks, and the Radon Transform. J. Mach. Learn. Res. 24 (2023)
Yekta Kesenci, Aleix Boquet-Pujadas, Michael Unser, Jean-Christophe Olivo-Marin
Probing Intracellular Elasticity with Minimal-Hessian Registration. ISBI (2023)
Alexis Goujon, Sebastian Neumayer, Michael Unser
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms. CoRR (2023)
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 (2023)
Kay Lächler, Hélène Lajous, Michael Unser, Meritxell Bach Cuadra, Pol del Aguila Pla
Self-Supervised Isotropic Superresolution Fetal Brain MRI. ISBI (2023)
Yan Liu, Jonathan Dong, Thanh-An Pham, François Marelli, Michael Unser
Mechanical Artifacts in Optical Projection Tomography: Classification and Automatic Calibration. CoRR (2023)
Rahul Parhi, Michael Unser
The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems. IEEE Signal Process. Lett. 30 (2023)
Pol del Aguila Pla, Sebastian Neumayer, Michael Unser
Stability of Image-Reconstruction Algorithms. IEEE Trans. Computational Imaging 9 (2023)
Kay Lächler, Hélène Lajous, Michael Unser, Meritxell Bach Cuadra, Pol del Aguila Pla
Self-Supervised Isotropic Superresolution Fetal Brain MRI. CoRR (2022)
Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors. IEEE Trans. Computational Imaging 8 (2022)
Pol del Aguila Pla, Michael Unser
Bona fide Riesz projections for density estimation. CoRR (2022)
Alexis Goujon, Arian Etemadi, Michael Unser
The Role of Depth, Width, and Activation Complexity in the Number of Linear Regions of Neural Networks. CoRR (2022)
Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser
Asymptotic Stability in Reservoir Computing. CoRR (2022)
Pol del Aguila Pla, Michael Unser
Bona Fide Riesz Projections for Density Estimation. ICASSP (2022)
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) (2022)
Thomas Debarre, Quentin Denoyelle, Michael Unser, Julien Fageot
Sparsest piecewise-linear regression of one-dimensional data. J. Comput. Appl. Math. 406 (2022)
Mehrsa Pourya, Alexis Goujon, Michael Unser
Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization. CoRR (2022)
Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. CoRR (2022)
Pol del Aguila Pla, Sebastian Neumayer, Michael Unser
Stability of image reconstruction algorithms. CoRR (2022)
Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser
Approximation of Lipschitz Functions using Deep Spline Neural Networks. CoRR (2022)
Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors. CoRR (2022)
Alexis Goujon, Joaquim Campos, Michael Unser
Stable Parametrization of Continuous and Piecewise-Linear Functions. CoRR (2022)
Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser
A Neural-Network-Based Convex Regularizer for Image Reconstruction. CoRR (2022)
Jonathan Dong, Erik Börve, Mushegh Rafayelyan, Michael Unser
Asymptotic Stability in Reservoir Computing. IJCNN (2022)
Michael Unser
From Kernel Methods to Neural Networks: A Unifying Variational Formulation. CoRR (2022)
Icíar Lloréns Jover, Thomas Debarre, Shayan Aziznejad, Michael Unser
Coupled Splines for Sparse Curve Fitting. IEEE Trans. Image Process. 31 (2022)
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) (2021)
Anaïs Badoual, Lucia Romani, Michael Unser
Active Subdivision Surfaces for the Semiautomatic Segmentation of Biomedical Volumes. IEEE Trans. Image Process. 30 (2021)
Michael Unser
A Unifying Representer Theorem for Inverse Problems and Machine Learning. Found. Comput. Math. 21 (4) (2021)
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 (2021)
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 (2021)
Shayan Aziznejad, Michael Unser
Multikernel Regression with Sparsity Constraint. SIAM J. Math. Data Sci. 3 (1) (2021)
Julien Fageot, Virginie Uhlmann, Zsuzsanna Püspöki, Benjamin Beck, Michael Unser, Adrien Depeursinge
Principled Design and Implementation of Steerable Detectors. IEEE Trans. Image Process. 30 (2021)
Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser
Shortest-support multi-spline bases for generalized sampling. J. Comput. Appl. Math. 395 (2021)
Shayan Aziznejad, Joaquim Campos, Michael Unser
Measuring Complexity of Learning Schemes Using Hessian-Schatten Total-Variation. CoRR (2021)
Mehrsa Pourya, Shayan Aziznejad, Michael Unser, Daniel Sage
Graphic: Graph-Based Hierarchical Clustering For Single-Molecule Localization Microscopy. ISBI (2021)
Quentin Denoyelle, Thanh-An Pham, Pol del Aguila Pla, Daniel Sage, Michael Unser
Optimal-Transport-Based Metric For SMLM. ISBI (2021)
Shayan Aziznejad, Thomas Debarre, Michael Unser
Sparsest Univariate Learning Models Under Lipschitz Constraint. CoRR (2021)
Thanh-An Pham, Emmanuel Soubies, Ferréol Soulez, Michael Unser
Diffraction Tomography From Single-Molecule Localization Microscopy: Numerical Feasibility. ISBI (2021)
Alexis Goujon, Shayan Aziznejad, Alireza Naderi, Michael Unser
Shortest Multi-Spline Bases for Generalized Sampling. CoRR (2020)
Shayan Aziznejad, Harshit Gupta, Joaquim Campos, Michael Unser
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant. CoRR (2020)
Shayan Aziznejad, Emmanuel Soubies, Michael Unser
Dictionary Learning with Statistical Sparsity in the Presence of Noise. EUSIPCO (2020)
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 (2020)
Julien Fageot, Shayan Aziznejad, Michael Unser, Virginie Uhlmann
Support and approximation properties of Hermite splines. J. Comput. Appl. Math. 368 (2020)
Pakshal Bohra, Michael Unser
Continuous-Domain Signal Reconstruction Using $L_{p}$-Norm Regularization. IEEE Trans. Signal Process. 68 (2020)
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)
Pakshal Bohra, Michael Unser
Computation of "Best" Interpolants in the Lp Sense. ICASSP (2020)
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 (2020)
Leello Dadi, Shayan Aziznejad, Michael Unser
Generating Sparse Stochastic Processes Using Matched Splines. IEEE Trans. Signal Process. 68 (2020)
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 (2020)
Michael Unser
A Note on BIBO Stability. IEEE Trans. Signal Process. 68 (2020)
Shayan Aziznejad, Harshit Gupta, Joaquim Campos, Michael Unser
Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant. IEEE Trans. Signal Process. 68 (2020)
Thanh-An Pham, Emmanuel Soubies, Ahmed B. Ayoub, Demetri Psaltis, Michael Unser
Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography. ISBI (2020)
Thomas Debarre, Benjamin Watts, Benedikt Rösner, Michael Unser
Hessian Splines for Scanning Transmission X-Ray Microscopy. ISBI (2020)
Anna Song, Virginie Uhlmann, Julien Fageot, Michael Unser
Dictionary Learning for Two-Dimensional Kendall Shapes. SIAM J. Imaging Sci. 13 (1) (2020)
Quentin Denoyelle, Thanh-An Pham, Pol del Aguila Pla, Daniel Sage, Michael Unser
Optimal transport-based metric for SMLM. CoRR (2020)
Kyong Hwan Jin, Michael Unser, Kwang Moo Yi
Self-Supervised Deep Active Accelerated MRI. CoRR (2019)
Michael Unser
A Representer Theorem for Deep Neural Networks. J. Mach. Learn. Res. 20 (2019)
Shayan Aziznejad, Michael Unser
Deep Spline Networks with Control of Lipschitz Regularity. ICASSP (2019)
Laurène Donati, Emmanuel Soubies, Michael Unser
Inner-Loop-Free Admm For Cryo-Em. ISBI (2019)
Lucia Romani, Anaïs Badoual, Michael Unser
Normal-Based Interpolating Subdivision for the Geometric Representation of Deformable Models. ISBI (2019)
Anais Badoual, Aymeric Galan, Daniel Sage, Michael Unser
Deforming Tessellations For The Segmentation Of Cell Aggregates. ISBI (2019)
Emmanuel Soubies, Michael Unser
Computational Super-Sectioning for Single-Slice Structured-Illumination Microscopy. IEEE Trans. Computational Imaging 5 (2) (2019)
Thanh-An Pham, Emmanuel Soubies, Daniel Sage, Michael Unser
Closed-Form Expression Of The Fourier Ring-Correlation For Single-Molecule Localization Microscopy. ISBI (2019)
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) (2019)
Kyong Hwan Jin, Harshit Gupta, Jerome Yerly, Matthias Stuber, Michael Unser
Time-Dependent Deep Image Prior for Dynamic MRI. CoRR (2019)
Anaïs Badoual, Michael Unser, Adrien Depeursinge
Texture-driven parametric snakes for semi-automatic image segmentation. Comput. Vis. Image Underst. 188 (2019)
Michael T. McCann, Michael Unser
Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks. Found. Trends Signal Process. 13 (3) (2019)
Zsuzsanna Püspöki, Julien Fageot, Arash Amini, John Paul Ward, Michael Unser
Angular Accuracy of Steerable Feature Detectors. SIAM J. Imaging Sci. 12 (1) (2019)
Thomas Debarre, Julien Fageot, Harshit Gupta, Michael Unser
Solving Continuous-domain Problems Exactly with Multiresolution B-splines. ICASSP (2019)
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)
Thomas Debarre, Shayan Aziznejad, Michael Unser
Hybrid-Spline Dictionaries for Continuous-Domain Inverse Problems. IEEE Trans. Signal Process. 67 (22) (2019)
Kyong Hwan Jin, Gain Kim, Yusuf Leblebici, Jong Chul Ye, Michael Unser
Direct Reconstruction of Saturated Samples in Band-Limited OFDM Signals. CoRR (2018)
Anais Badoual, Julien Fageot, Michael Unser
Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems. IEEE Trans. Signal Process. 66 (22) (2018)
Ha Q. Nguyen, Emrah Bostan, Michael Unser
Learning Convex Regularizers for Optimal Bayesian Denoising. IEEE Trans. Signal Process. 66 (4) (2018)
Michael Unser
A representer theorem for deep neural networks. CoRR (2018)
Denis Fortun, Martin Storath, Dennis Rickert, Andreas Weinmann, Michael Unser
Fast Piecewise-Affine Motion Estimation Without Segmentation. CoRR (2018)
Daniel Schmitter, Michael Unser
Landmark-Based Shape Encoding and Sparse-Dictionary Learning in the Continuous Domain. IEEE Trans. Image Process. 27 (1) (2018)
Emmanuel Soubies, Ferréol Soulez, Michael T. McCann, Thanh-An Pham, Laurène Donati, Thomas Debarre, Daniel Sage, Michael Unser
Pocket Guide to Solve Inverse Problems with GlobalBioIm. CoRR (2018)
Kyong Hwan Jin, Michael Unser
3D BBPConvNet to reconstruct parallel MRI. ISBI (2018)
Michael T. McCann, Laura Vilaclara, Michael Unser
Region of interest X-ray computed tomography via corrected back projection. ISBI (2018)
Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser
Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. MLMI@MICCAI (2018)
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) (2018)
Harshit Gupta, Julien Fageot, Michael Unser
Continuous-Domain Solutions of Linear Inverse Problems with Tikhonov vs. Generalized TV Regularization. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Unser