Image Analysis Breakfasts
Come with your data to the next Image Analysis Breakfast. A team of voluntary experts will be there to give you some advice. Registration required.
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 2-hours session, participants present their images and analysis problems in front of experts. Please come with your personal laptop and software if you are using non-generic image formats. During the discussions, we collect thoughts, ideas, references, or links in a Google Docs accessible by the participant. The Google Docs stays open up to the next breakfast.
Prepare a concise presentation that describes your image analysis problem (Google Slides 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 in your images selection.
Create a shared link that gives us access to your slides and a shared link (EPFL Google Drive) that gives us read-only access to your raw data.
Meeting 17 February
- 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 (cancelled)
Meeting 20 April
Frequently Asked Questions (FAQ)
Click on the red down-arrows to see the answers.
- Monday 17 February 2020, 9:00 – 11:00, Espace Copernic
- Monday 16 March 2020, 9:00 – 11:00, Cancelled
- Monday 20 April 2020, 9:00 – 11:00, Zoom meeting
- Monday 18 May 2020, 9:00 – 11:00, Zoom meeting
- Monday 15 June 2020, 9:00 – 11:00, TBA
- Monday 13 July 2020, 9:00 – 11:00, TBA
- Monday 14 September 2020, 9:00 – 11:00, TBA
- Monday 19 October 2020, 9:00 – 11:00, TBA
- Monday 16 November 2020, 9:00 – 11:00, TBA
- Monday 14 December 2020, 9:00 – 11:00, TBA
The agenda is subject to change.
EPFL collaborators and research staff (PhD Students, postdocs, etc.). Master students can join under the supervision of their assistant.
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.
Yes, there is absolutely no such a thing as a stupid question/problem in image-analysis. Everybody is there to learn.
We have assembled a enthusiastic team of volunteers (mostly 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.