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

Monday 20 October
- 09:00 → 12:30
  Classification
  - 09:00
    
    Lecture: Intro to DL for microscopy, classification and PyTorch 1h 30m
  - 10:30
    Getting started 2h
    
    Participant introductions
    
    Setting up JupyterHub server
    
    Introducing first exercise on classification
- 12:30 → 13:30
  
  Lunch 1h
- 13:30 → 17:00
  Classification
  - 13:30
    
    First exercise: Cell classification 3h
  - 16:30
    
    Recap first exercise 30m
Tuesday 21 October
- 09:00 → 12:30
  Segmentation
  - 09:00
    
    Lecture: Segmentation, pre-trained models, transfer learning 1h 30m
  - 10:30
    
    Intro to exercises for Nucleus and Cell segmentation 2h
- 12:30 → 13:30
  
  Lunch 1h
- 13:30 → 17:00
  Segmentation
  - 13:30
    
    Second exercise: Cell segmentation 2h 30m
  - 16:00
    
    Recap exercise 2. Image restoration and lecture recap. 1h
Wednesday 22 October
- 09:00 → 12:30
  Other deep learning tools
  - 09:00
    
    Lecture: Overview of deep learning tools (micro-sam, cellpose, stardist, nn UNet, trackstra, ...) 1h 30m
  - 10:30
    
    Intro to third exercise 2h
- 12:30 → 13:30
  
  Lunch 1h
- 13:30 → 17:45
  Other deep learning tools
  - 13:30
    
    Third exercise: Group work where we try a tool per group 2h 30m
  - 16:00
    
    Recap third exercise, project discussion 1h
Thursday 23 October
- 09:00 → 12:30
  
  Project work
- 12:30 → 13:30
  
  Lunch 1h
- 13:30 → 17:00
  
  Project work
Friday 24 October
- 09:00 → 12:30
  
  Project work
- 12:30 → 13:30
  
  Lunch 1h
- 13:30 → 15:00
  
  Project work
- 15:00 → 17:00
  
  Final discussion
  
  Wrap-up and how to continue to use the infrastructure