Deep Learning for Image Analysis

Name: Deep Learning for Image Analysis
Start: 2025-10-20T09:00:00+02:00
End: 2025-10-24T18:00:00+02:00
Location: European Neuroscience Institute Göttingen

20 Oct 2025, 09:00 → 24 Oct 2025, 18:00 Europe/Berlin

European Neuroscience Institute Göttingen

ENI-G, Grisebachstr. 5, 37077 Göttingen

Constantin Pape (UMIN), Antonio Politi (Facility for Light Microscopy, MPI-NAT, Göttingen), Martin Schilling (UKEI), Luca Freckmann (UMIN)

Contact

constantin.pape@informatik.uni-goettingen.de

antonio.politi@mpinat.mpg.de

Participants

19 View full list

Monday 20 October
- Classification
  - 1
    
    Lecture: Intro to DL for microscopy, classification and PyTorch
  - 2
    Getting started
    
    Participant introductions
    
    Setting up JupyterHub server
    
    Introducing first exercise on classification
- 12:30
  
  Lunch
- Classification
  - 3
    
    First exercise: Cell classification
  - 4
    
    Recap first exercise
Tuesday 21 October
- Segmentation
  - 5
    
    Lecture: Segmentation, pre-trained models, transfer learning
  - 6
    
    Intro to exercises for Nucleus and Cell segmentation
- 12:30
  
  Lunch
- Segmentation
  - 7
    
    Second exercise: Cell segmentation
  - 8
    
    Recap exercise 2. Image restoration and lecture recap.
Wednesday 22 October
- Other deep learning tools
  - 9
    
    Lecture: Overview of deep learning tools (micro-sam, cellpose, stardist, nn UNet, trackstra, ...)
  - 10
    
    Intro to third exercise
- 12:30
  
  Lunch
- Other deep learning tools
  - 11
    
    Third exercise: Group work where we try a tool per group
  - 12
    
    Recap third exercise, project discussion
Thursday 23 October
- Project work
- 12:30
  
  Lunch
- Project work
Friday 24 October
- Project work
- 12:30
  
  Lunch
- Project work
- Final discussion
  
  Wrap-up and how to continue to use the infrastructure

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Deep Learning for Image Analysis

European Neuroscience Institute Göttingen