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Multivariate Haar wavelets and B-splines13 Aug 2019

Tanya Zaitseva

Deep Learning for Magnetic Resonance Image Reconstruction and Analysis06 Aug 2019

Chen Qin

The Interpolation Problem with TV(2) Regularization30 Jul 2019

Thomas Debarre

Duality and Unicity for the gTV problem.23 Jul 2019

Quentin Denoyelle

An Introduction to Convolutional Neural Networks for Inverse Problems in Imaging09 Jul 2019

Harshit Gupta

Multiple Kernel Regression with Sparsity Constraints18 Jun 2019

Shayan Aziznejad

Optimal Spline Generators for Derivative Sampling18 Jun 2019

Shayan Aziznejad

Total variation minimization through Domain Decomposition28 May 2019

Vasiliki Stergiopoulou

Cell detection by functional inverse diffusion and non-negative group sparsity07 May 2019

Pol del Aguila Pla
KTH Royal Institute of Technology, Division of Information Science and Engineering, School of Electrical Engineering and Computer Science

Image-based immunoassays are designed to estimate the proportion of biological cells in a sample that generate a specific kind of particles. These assays are instrumental in biochemical, pharmacological and medical research, and have applications in disease diagnosis. In this talk, I describe the model, inverse problem, functional optimization framework, and algorithmic solution to analyze image-based immunoassays that we presented in [1] and [2]. In particular, I will delve into 1) the radiation-diffusion-adsorption-desorption partial differential equation and a re-parametrization of its solution in terms of convolutional operators, 2) the set up, analysis and algorithmic solution of an optimization problem in Hilbert spaces to recover spatio-temporal information from a single image observation, and 3) the derivation of the proximal operator in function spaces for the non-negative group-sparsity regularizer. After discretization, our work results in a convergent, high-performing algorithm with 25 million optimization variables that requires the entire engineering toolbox of tips and tricks, and was recently incorporated in a commercial product [3]. If time allows, I will introduce our work in [4], in which we use the structure of our algorithm to learn a faster, approximated solver for our optimization problem. [1]: Pol del Aguila Pla and Joakim Jaldén, "Cell detection by functional inverse diffusion and non-negative group sparsity—Part I: Modeling and Inverse Problems", IEEE Transactions on Signal Processing, vol. 66, no. 20, pp. 5407–5421, 2018. Access at: https://doi.org/10.1109/TSP.2018.2868258 [2]: Pol del Aguila Pla and Joakim Jaldén, "Cell detection by functional inverse diffusion and non-negative group sparsity—Part II: Proximal optimization and Performance Evaluation", IEEE Transactions on Signal Processing, vol. 66, no. 20, pp. 5422–5437, 2018. Access at: https://doi.org/10.1109/TSP.2018.2868256 [3]: Mabtech Iris reader. See product page: https://www.mabtech.com/iris [4]: Pol del Aguila Pla, Vidit Saxena, and Joakim Jaldén, "SpotNet – Learned iterations for cell detection in image-based immunoassays", 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). Access at: https://arxiv.org/abs/1810.06132

Can neural networks always be trained? On the boundaries of deep learning06 May 2019

Matt J. Colbrook
Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge

Measure Digital, Reconstruct Analog16 Apr 2019

Julien Fageot
Harvard Harvard John A. Paulson School of Engineering and Applied Sciences

Deep Learning for Non-Linear Inverse Problems02 Apr 2019

Fangshu Yang

Numerical Investigation of Continuous-Domain Lp-norm Regularization in Generalized Interpolation19 Feb 2019

Pakshal Bohra

Inner-Loop-Free ADMM for Cryo-EM15 Jan 2019

Laurène Donati

Fast PET reconstruction: the home stretch11 Dec 2018

Michael McCann

Self-Supervised Deep Active Accelerated MRI27 Nov 2018

Kyong Hwan Jin
EPFL STI LIB

Minimum Support Multi-Splines20 Nov 2018

Shayan Aziznejad
EPFL STI LIB

Sparse Coding with Projected Gradient Descent for Inverse Problems 23 Oct 2018

Thanh-an Pham
EPFL STI LIB

Adversarially-Sandwiched VAEs for Inverse Problems02 Oct 2018

Harshit Gupta
EPFL STI LIB

PSF-Extractor: from fluorescent beads measurements to continuous PSF model11 Sep 2018

Emmanuel Soubies
EPFL STI LIB

Analysis of Planar Shapes through Shape Dictionary Learning with an Extension to Splines28 Aug 2018

Anna Song
EPFL STI LIB

Complex-order scale-invariant operators and self-similar processes21 Aug 2018

Arash Amini
Sharif University, Tehran, Iran

Variational Framework for Continuous Angular Refinement and Reconstruction in Cryo-EM14 Aug 2018

Mona Zehni
EPFL STI LIB

Looking beyond Pixels: Theory, Algorithms and Applications of Continuous Sparse Recovery07 Aug 2018

Hanjie Pan
Audiovisual Communications Laboratory (LCAV, EPFL

A L1 representer theorem of vector-valued learning17 Jul 2018

Shayan Aziznejad
EPFL STI LIB

Local Rotation Invariance and Directional Sensitivity of 3D Texture Operators: Comparing Classical Radiomics, CNNs and Spherical Harmonics26 Jun 2018

Adrien Depeursinge
EPFL STI LIB

Computational Super-Sectioning for Single-Slice Structured-Illumination Microscopy 19 Jun 2018

Emmanuel Soubies
EPFL STI LIB

Theoretical and Numerical Analysis of Super-Resolution without Grid19 Jun 2018

Quentin Denoyelle
Université Paris Dauphine

Subdivision-Based Active Contours --- Statistical optimality of Hermite splines for the reconstruction of self-similar signals --- The Role of Discretisation in X-Ray CT Reconstruction29 May 2018

Anaïs Badoual, Virginie Uhlmann, Michael McCann
EPFL STI LIB

Influence of spatial context over color perception: unifying chromatic assimilation and simultaneous contrast into a neural field model22 May 2018

Anna Song
EPFL STI LIB

Fast rotational dictionary learning using steerability 08 May 2018

Mike McCann
EPFL STI LIB

Hybrid spline dictionaries for continuous-domain inverse problems24 Apr 2018

Thomas Debarre
EPFL STI LIB

Fast Multiresolution Reconstruction for Cryo-EM17 Apr 2018

Laurène Donati
EPFL STI LIB

Direct Reconstruction of Clipped Peaks in Bandlimited OFDM Signals13 Mar 2018

Kyong Hwan Jin
EPFL STI LIB

Sparsity-based techniques for diffraction tomography27 Feb 2018

Thanh-an Pham
EPFL STI LIB

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