Michael Unser

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Full Professor

École Polytechnique Fédérale de Lausanne

Switzerland

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Recent Grants

Grant: Close

Spline methods for the continuous/discrete processing of images

Open Date: 2019-07-01

Close Date: 2023-06-30

Grant: Close

Global integrative framework for Computational Bio-Imaging

Open Date: 2016-10-01

Close Date: 2022-03-31

Grant: Close

Spline methods for the continuous/discrete processing of images

Open Date: 2015-10-01

Close Date: 2019-06-30

Grant: Close

EUCLID : high-precision cosmology in the dark sector

Open Date: 2013-10-01

Close Date: 2017-05-31

Grant: Close

Spline methods for the continuous/discrete processing of images

Open Date: 2012-10-01

Close Date: 2015-09-30

Articles (20)

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2021

Collaborators (6)

Alejandro Frangi

Prof

The University of Manchester

UNITED KINGDOM

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Sylvain Gigan

Professor

Sorbonne Université

FRANCE

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Sebastian Neumayer

Professor

TU Chemnitz

GERMANY

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Arrate Muñoz-Barrutia

Universidad Carlos III de Madrid

SPAIN

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Selin Aviyente

Professor

Michigan State University

UNITED STATES

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Dimitri Van De Ville

Associate Professor

University of Geneva

SWITZERLAND

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Michael Unser

Research Interests

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Recent Grants

Articles (20)

Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial

From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee

A Neural-Network-Based Convex Regularizer for Inverse Problems

Stability of Image-Reconstruction Algorithms

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization

Dynamic Fourier ptychography with deep spatiotemporal priors

Explicit representations for Banach subspaces of Lizorkin distributions

Stable parameterization of continuous and piecewise-linear functions

The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems

A constrained method for lensless coherent imaging of thin samples

Learning of Continuous and Piecewise-Linear Functions with Hessian Total-Variation Regularization

Sparsest Univariate Learning Models Under Lipschitz Constraint

Sparsest piecewise-linear regression of one-dimensional data

Convex optimization in sums of Banach spaces

A Unifying Representer Theorem for Inverse Problems and Machine Learning

Active Subdivision Surfaces for the Semiautomatic Segmentation of Biomedical Volumes

Continuous-Domain Formulation of Inverse Problems for Composite Sparse-Plus-Smooth Signals

CryoGAN: A New Reconstruction Paradigm for Single-Particle Cryo-EM Via Deep Adversarial Learning

Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features

Collaborators (6)

Alejandro Frangi

Sylvain Gigan

Sebastian Neumayer

Arrate Muñoz-Barrutia

Selin Aviyente

Dimitri Van De Ville

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