Tricky images? Seek advice.
Imaging technology is progressing rapidly; in particular, it is becoming increasingly challenging for non-experts to stay up-to-date with the latest developments in image analysis.
To provide EPFL research staff with support in image analysis, the [email protected] initiative is launching a series of “Image Analysis Breakfasts”. These meetings are a place where researchers can share image-analysis problems, get feedback from experts, and exchange ideas, all this around coffees and croissants
The “Image Analysis Breakfasts” are data-centered meetings that give EPFL research community a precious chance to discuss all kinds of imaging questions.
Participants shortly present their image-analysis problems in front of image-analysis experts, who try to provide advices, tips, pointers to relevant references, or links to similar solved problems. The goal is not to solve the participants’ problems “on the spot”, but to give them a (hopefully) useful feedback on the best way to tackle their problem, and the amount of effort required to do so.
During the 1-hour session, three participants present their images and analysis problems in front of experts. Please focus direct on one image-analysis question during 5 min, to let 15 min. of discussion. During the discussions, we collect thoughts, ideas, references, or links in a Google Docs accessible by the participant.
Arianne Bercowsky, Olivier Burri, Nicolas Chiaruttini, Pol Del Aguila Pla, Laurène Donati, Alessandra Griffa, Romain Gueit, Sepand Kashani, Mateusz Kozinski, Daniel Sage, Arne Seitz, Matthieu Simeoni, Jean-Philippe Thiran, Martin Weigert
Please write us if you would like to join us!
Prepare a concise 5-minutes presentation describing your problem using our Google Slide Template, please exclude domain-specific jargon.
Select typical examples to explain what information you are aiming to obtain from your data. Make sure to have enough variability.
Shared link to your slides and to your data (typically on EPFL Google Drive).
Meeting 17 February 2020
- Deep learning methods for retinal cells images classification depending on disease – Timothée Laforest [STI]
- Detection of crack in walls – Amir Rezaie [ENAC]
- Bacteria classification – Kunal Sharma [SV]
- Detection of the cracks in a 3D volume of X-ray tomography – Eleni Stavropoulou [ENAC]
Meeting 16 March 2020
- Cancelled due to the Coronavirus
Meeting 20 April 2020
- Surface roughness from microCT – David Delavaux, Guillaume Anciaux, Pascal Turberg [Pixe, ENAC]
- Detection of cracks in a sequence of images– Amir Rezaie [EESD, ENAC, Prof. Beyer]
- Cells movement – Quentin Talon (LPMV, Giovanni Dietler)
- Analysis of hand written gestures – Thibault Asselborn [CHILI, IC, Prof. Dillenbourg]
Meeting 18 May 2020
- Semi-automatic tools for cracks detection – Amir Rezaie [ENAC]
- Image processing of calcium imaging – Zhang Chuanqiang [SV]
- Spherical Harmonics – Mahmoud Shaqfa [ENAC]
Meeting 15 June 2020
- Structural noise in 2-photons microscopy images – Carlos Vivar Rios and David Litvin [CHUV]
- Detection of spatio-temporal event and constriction site – Dora Mahecic [LEB, SB]
- Similarity measurement of skeletonized cracks – Amir Rezaie [EESD, ENAC, Prof. Beyer]
Monday 14 September 2020
- Lineage of E.coli bacteria – Frédéric Normandeau, McKinney Lab [SV]
- TEM image analysis of porous film – Michał Macha, A. Radenovic Lab [LBEN, STI]
Monday 16 November 2020
Computer-aided segmentation and re-association of fragmented human bones – Varlet Vincent, Lise Malfroy Camine, Negahnaz Moghaddam, Lorenzo Campana, Swiss Human Institute of Forensic Taphonomy (SHIFT) and Centre Universitaire Romand de Médecine Légale (CURML)
Microbead agglutination assay inside a microcapillary channel – Bastien Schyrr [FIMAP, IMX]
Build the lineage of e-coli bacteria – Frédéric Normandeau, McKinney Lab [SV]
Atomic islands segmentation – Karla Banjac [LSEN, SB]
Monday 18 January 2021
Frequently Asked Questions (FAQ)
I don’t know if my problem is even solvable. Shall I come?
Yes, that is exactly the purpose of the breakfasts discussions: To determine the kind of effort you need to invest to solve your image analysis problem, and to point to possible solutions.
Who is it open to?
EPFL collaborators and research staff (PhD Students, postdocs, etc.). Master students can join under the supervision of their assistant.
My question seems too basic. Can I still come?
Yes, there is absolutely no such a thing as a stupid question/problem in image-analysis. Everybody is there to learn.
Who are these image analysis experts?
We have assembled a enthusiastic team of volunteers EPFL researchers that come from diverse imaging backgrounds and with various image-processing/analysis expertise. We aim to cover most imaging modalities (from nano to macro) and software tools.