Graphic STI
logo EPFL
text EPFL
english only
Biomedical Imaging Group
Seminars
EPFL > BIG > SeminarsLogin
CONTENTS

Home page

News & Events

Seminars

People

Research

Publications

Tutorials & Reviews

Recent Talks

Demos

Download Algorithms

Jobs and Trainees

Teaching

Student Projects

Intranet

Order by     

Compressed Sensing for Dose Reduction in STEM Tomography11 Apr 2017

Laurène Donati
EPFL STI LIB

Chasing Mycobacteria10 Apr 2017

Virginie Uhlmann
EPFL STI LIB

Multifractal analysis for signal and image classification23 Mar 2017

Stéphane Jaffard
UPEC

Multifractal analysis was introduced at the end of the 1980s by physicists whose purpose was to relate global regularity indices associated to a signal (velocity of turbulent fluids) with the distribution of pointwise singularities present in the data. Several variants were later proposed, including methods based on local suprema of the continuous wavelet transform, or Detrended Fluctuation Analysis (DFA). We will focus on methods based on wavelet coefficients, using an orthonormal wavelet basis. We will see how the tools supplied by multifractal analysis can be adapted to particular types of data: e.g. the use of p-leaders (local L^p norms of wavelet coefficients) vs. leaders (local suprema of wavelet coefficients) depending on the global regularity of the data, or anisotropic wavelet transforms for the analysis of anisotropic textures. We will also see and how to adapt the analysis when the data do not present a global self-similarity. These ideas will be illustrated by a wide range of examples, such as : (in 1D) turbulence, internet traffic, heart-beat intervals, literary texts, and (in 2D) natural images, paintings and photographic papers. As regards literary texts and paintings, we will see that parameters originating from multifractal tools can give rise to new methods in textometry and stylometry.

3D SIM and measurements time-reallocation for scanning based systems: Introduction and preliminary results on these two problems14 Mar 2017

Emmanuel Soubies
EPFL STI LIB

Inverse problems and multimodality for biological imaging28 Feb 2017

Denis Fortun
EPFL STI LIB

RKHS to find the Representer Theorem for regularization operators whose null space is not finite dimensional09 Feb 2017

Harshit Gupta
EPFL STI LIB

A unified reconstruction framework for coherent imaging24 Jan 2017

Ferréol Soulez
EPFL STI LIB

BPConvNet for compressed sensing recovery in bioimaging10 Jan 2017

Kyong Jin
EPFL STI LIB

Steerable template detection based on maximum correlation: preliminary results13 Dec 2016

Adrien Depeursinge
EPFL STI LIB

Opportunities in Computational Imaging for Biomicroscopy06 Dec 2016

Prof. Michael Leibling
Idap Research Institute

A multiple scattering approach to diffraction tomography30 Nov 2016

Luc Zeng
EPFL STI LIB

Learning Optimal Shrinkage Splines for ADMM Algorithms22 Nov 2016

Ha Nguyen
EPFL STI LIB

SIGGRAPH ASIA 201601 Nov 2016

Daniel Schmitter
EPFL STI LIB

Lévy's Persian summers18 Oct 2016

Julien Fageot
EPFL STI LIB

High-quality parallel-ray X-ray CT back projection using optimized interpolation11 Oct 2016

Mike McCann
EPFL STI LIB

Algorithmic Aspects of Compressive Sensing03 Oct 2016

Verner Vlacic
Cambridge University

ICIP 201620 Sep 2016

Anaïs Badoual
EPFL STI LIB

Machine Vision forum in Heidelberg17 Aug 2016

Virginie Uhlmann
EPFL STI LIB

K-space interpolation using CV(complex valued)-CNN & sparse and low-rank model of ALOHA09 Aug 2016

Kyong Jin
EPFL STI LIB

Complete Compressed Sensing Framework for STEM Tomography19 Jul 2016

Laurène Donati
EPFL STI LIB

Trainable shrinkage splines: inverse problems meet deep learning28 Jun 2016

Ha Nguyen
EPFL STI LIB

A reconstruction framework for coherent imaging31 May 2016

Ferréol Soulez
EPFL STI LIB

Shape-Constrained Tracking with Active Contours17 May 2016

Virginie Uhlmann
EPFL STI LIB

Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification / Some results on MA-TIRF reconstruction and exact continuous penalties for l2-l0 minimization03 May 2016

Adrien Depeursinge, Emmanuel Soubies
EPFL STI LIB

Learning-Based approach in Single Molecule localization microscopy19 Apr 2016

Silvia Colabrese
Italian Institute of Technology, Genova, Italy

ISBI 201606 Apr 2016

Michael Unser, Denis Fortun

More info ...

ICASSP 201615 Mar 2016

Pedram Pad
EPFL STI LIB

Fast 3D Reconstruction Method for Differential Phase Contrast X-ray CT08 Mar 2016

Mike McCann

More info ...

Sparsity and the optimality of splines for inverse problems: Deterministic vs. statistical justifications23 Feb 2016

Michael Unser
EPFL STI LIB

Decoding Epileptogenesis: A Dynamical System Approach09 Feb 2016

Prof. Francois Meyer
University of Colorado at Boulder

© 2010 EPFL • webmaster.big@epfl.ch • 26.01.2010