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     

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

Structured Illumination and the Analysis of Single Molecules in Cells09 Feb 2018

Rainer Heintzmann
Institute of Photonic Technology,Jena, Germany

Periodic Splines and Gaussian Processes for the Resolution of Linear Inverse Problems30 Jan 2018

Anaïs Badoual
EPFL STI LIB

Fast Piecewise-Affine Motion Estimation Without Segmentation19 Dec 2017

Denis Fortun
EPFL STI LIB

Continuous Representations in Bioimage Analysis: a Bridge from Pixels to the Real World12 Dec 2017

Virginie Uhlmann
EPFL STI LIB

Steer&Detect on Images 14 Nov 2017

Julien Fageot
EPFL STI LIB

Fundamental computational barriers in inverse problems and the mathematics of information27 Oct 2017

Alexander Bastounis
Cambridge University

Variational use of B-splines and Kernel Based Functions27 Oct 2017

Christophe Rabut
INSA Toulouse

Deep learning based data manifold projection - a new regularization for inverse problems17 Oct 2017

Harshit Gupta
EPFL STI LIB

GlobalBioIm Lib - v2: new tools, more flexibility, and improved composition rules.03 Oct 2017

Emmanuel Soubies
EPFL STI LIB

Exact Discretization of Continuous-Domain Linear Inverse Problems with Generalized TV Regularization Using B-Splines​24 Aug 2017

Thomas Debarre
EPFL STI LIB

Fractional Integral transforms and Time-Frequency Representations02 Jun 2017

Prof. Ahmed I. Zayed
Department of Mathematical Sciences DePaul University

First steps toward fast PET reconstruction30 May 2017

Mike McCann
EPFL STI LIB

Lipid membranes and surface reconstruction - a biologically inspired method for 3D segmentation16 May 2017

Nicolas Chiaruttini
University of Geneva

Optical Diffraction Tomography: Principles and Algorithms09 May 2017

Thanh-an Pham
EPFL STI LIB

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

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