Michael Unser
Full Professor
Leads the Biomedical Imaging Group, working on computational imaging, inverse problems and learning-based image reconstruction.
Michael Unser's lab at EPFL works on computational imaging & photography, medical image analysis and signal processing & information theory. 39 papers since 2023, 11 at top venues, mostly ISBI and JMLR. 6 PhD students. 37 alumni. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 28%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 37
Papers by yearfrom DBLP, 2023–2026
- 8 papers2026 · T1 2 · collecting
- 9 papers2025 · T1 4
- 10 papers2024 · T1 4
- 12 papers2023 · T1 1
T1 venuesOtherVenues: ISBI, JMLR, ICASSP, ICLR, ICCV
Research focuspaper titles that use each topic's words
- Medical image analysis8 papers
- Signal processing & information theory4 papers
- Computational imaging & photography1 paper
- imaging1 paper
- biomedical imaging0 papers
Paper list
From DBLP.
20268 papers
- ICLR (T1)A Statistical Benchmark for Diffusion-Posterior-Sampling Algorithms (opens in a new tab)
- SIAM Rev.Data-Driven Regularization with Weak Convexity for Robust Image Reconstruction (opens in a new tab)
- ICLR (T1)Flower: A Flow-Matching Solver for Inverse Problems (opens in a new tab)
- IEEE Trans. Computational ImagingMultivariate Fields of Experts for Convergent Image Reconstruction (opens in a new tab)
- Neural NetworksRevisiting deep information propagation: Fractal frontier and finite-size effects (opens in a new tab)
- ISBISplineSplat: 3D Ray Tracing for Higher-Quality Tomography (opens in a new tab)
- IEEE Trans. Computational ImagingStructured Random Models for Phase Retrieval With Optical Diffusers (opens in a new tab)
- SIAM J. Imaging Sci.Universal Architectures for the Learning of Polyhedral Norms and Convex Regularizers (opens in a new tab)
20259 papers
- IEEE Signal Process. Mag.2025 IEEE Signal Processing Society Awards [Society News] (opens in a new tab)
- ICML (T1)DEALing with Image Reconstruction: Deep Attentive Least Squares (opens in a new tab)
- IEEE Trans. Medical ImagingEstimation of Stiffness Maps in Deforming Cells Through Optical Flow With Bounded Curvature (opens in a new tab)
- SIAM J. Math. Data Sci.Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities (opens in a new tab)
- IEEE Trans. Computational ImagingGeneralized Ray Tracing With Basis Functions for Tomographic Projections (opens in a new tab)
- CPALLearning of Patch-Based Smooth-Plus-Sparse Models for Image Reconstruction (opens in a new tab)
- JMLR (T1)Random ReLU Neural Networks as Non-Gaussian Processes (opens in a new tab)
- ICCV (T1)Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising (opens in a new tab)
- ICASSP (T1)Structured Random Model for Fast and Robust Phase Retrieval (opens in a new tab)
202410 papers
- IEEE Trans. Computational ImagingA Box-Spline Framework for Inverse Problems With Continuous-Domain Sparsity Constraints (opens in a new tab)
- ISBIA Continuous-Domain Solution for Computed Tomography with Hessian Total-Variation Regularization (opens in a new tab)
- SIAM J. Math. Anal.Distributional Extension and Invertibility of the \(\boldsymbol{k}\)-Plane Transform and Its Dual (opens in a new tab)
- Found. Comput. Math.From Kernel Methods to Neural Networks: A Unifying Variational Formulation (opens in a new tab)
- JMLR (T1)Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions (opens in a new tab)
- ICASSP (T1)Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium (opens in a new tab)
- SIAM J. Imaging Sci.Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms (opens in a new tab)
- JMLR (T1)On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks (opens in a new tab)
- J. Comput. Appl. Math.On the number of regions of piecewise linear neural networks (opens in a new tab)
- TPAMI (T1)Sensitivity-Aware Density Estimation in Multiple Dimensions (opens in a new tab)
202312 papers
- IEEE Trans. Computational ImagingA Neural-Network-Based Convex Regularizer for Inverse Problems (opens in a new tab)
- IEEE Trans. Signal Process.A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods (opens in a new tab)
- SIAM J. Math. Data Sci.Approximation of Lipschitz Functions Using Deep Spline Neural Networks (opens in a new tab)
- IEEE Signal Process. Mag.From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee (opens in a new tab)
- SIAM J. Math. Data Sci.Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation (opens in a new tab)
- ISBIPET Rebinning with Regularized Density Splines (opens in a new tab)
- IEEE Signal Process. Mag.Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial (opens in a new tab)
- ISBIProbing Intracellular Elasticity with Minimal-Hessian Registration (opens in a new tab)
- JMLR (T1)Ridges, Neural Networks, and the Radon Transform (opens in a new tab)
- ISBISelf-Supervised Isotropic Superresolution Fetal Brain MRI (opens in a new tab)
- IEEE Trans. Computational ImagingStability of Image-Reconstruction Algorithms (opens in a new tab)
- IEEE Signal Process. Lett.The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems (opens in a new tab)
Where alumni went37 listed
Apply to EPFLFall 2027
EDIC Computer and Communication Sciences PhD
- Round
- Round 1
- Opens
- —
- GRE
- optional
- English
- TOEFL 100 / IELTS 7.0
- Fee
- none
Confirmed on the program page.
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