IQ-BRAIN

Winter School 1- Munich

Intensive AI/DL training with focus on data-driven qMRI

Program

  • Monday, December 15, 2025
Time
Programme
Presenter(s)
Room
09.15 - 09.30
Welcome
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Prof. Dr. Jan Sijbers (virtual)
Prof. Dr. Julia Schnabel
5.8123.017
09.30 - 11.00
Essential Data Science Training

  • Probability theory basics 

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  • Theoretical distributions 

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  • Visualization techniques 

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  • Statistical hypothesis testing 

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  • Multiple testing problem and correction methods 

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  • Basic topics from unsupervised learning 

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Dr. Matthias Aßenmacher
5.8123.017
11.00 - 11.15
Coffee break

5.8123.017
11.15 - 12.45
Essential Data Science Training
Dr. Matthias Aßenmacher
5.8123.017
12.45 - 13.30
Lunch
​
5.8123.017
13.30 - 15.00
Essential Data Science Training
Dr. Matthias Aßenmacher
5.8123.017
15.00 - 15.15
Coffee break

5.8123.017
15.15 - 17.00
Essential Data Science Training
Dr. Matthias Aßenmacher
5.8123.017
  • Tuesday, December 16, 2025
Time
Programme
Presenter(s)
Room
09.30 - 11.00
Essential Data Science Training

  • Performance estimation via resampling techniques  

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  • Important performance metrics for regression and classification, and ROC analysis basics 


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  • Hyperparameter tuning, nested resampling for unbiased model selection 
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  • Data Preprocessing and Imbalanced Learning 

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Prof. Dr. Bernd Bischl
5.8123.017
11.00 - 11.15
Coffee break

5.8123.017
11.15 - 12.45
Essential Data Science Training
Prof. Dr. Bernd Bischl
5.8123.017
12.45 - 13.30
Lunch

5.8123.017
13.30 - 15.00
Essential Data Science Training
Prof. Dr. Bernd Bischl
5.8123.017
15.00 - 15.15
Coffee break

5.8123.017
15.15 - 17.00
Essential Data Science Training
Prof. Dr. Bernd Bischl
5.8123.017
18.00 - ...
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Dinner and “Eisstockschießen” / Bavarian curling   



More information will follow soon
  • Wednesday, December 17, 2025
Time
Programme
Presenter(s)
Room
9.30 - 11.00
Essential Data Science Training

  • From a single neuron to single-hidden-layer networks  

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  • Multi-layer feedforward networks  

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  • Training neural networks   

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  • Regularization: basics and for nonlinear models; weight decay vs L2 

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  • Multiple testing problem and correction methods 

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  • Convolutional neural networks: intuition and building blocks. 

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Dr. Mina Razei
5.8123.017
11.00 - 11.15
Coffee break

5.8123.017
11.15 - 12.45
Essential Data Science Training
Dr. Mina Razei

5.8123.017
12.45 - 13.30
Lunch

5.8123.017
13.30 - 15.00
Essential Data Science Training
Dr. Mina Razei

5.8123.017
15.00 - 15.15
Coffee break

5.8123.017
15.15 - 17.00
Essential Data Science Training
Dr. Mina Razei
5.8123.017​

Thursday, December 18, 2025

Time
Programme
Presenter(s)
Room
09.00 - 11.00
Image registration and analysis 
Prof. Dr. Stefan Klein
22.01
11.00 - 11.15
Coffee break
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22.01
11.15 - 12.15
Image registration and analysis 
Prof. Dr. Stefan Klein
22.01
12.15 - 13.15
Lunch
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Hospital Cafetaria
13.30 - 15.15
Deep Learning for MR image reconstruction 
Prof. Dr. Daniel Rueckert
22.01
15.15 - 15.30​
Coffee break

22.01
15.30 - 17.30
Deep Learning for MR image reconstruction
Prof. Dr. Matthan Caan 
22.01

Friday, December 19, 2025

Time
Programme
Presenter(s)
Room
09.00 - 10.00
DL for smart medical imaging 
Prof. Dr. Julia Schnabel 
22.01
10.00 - 11.00
AI and DL in clinical practice: 
perspectives from neuroradiology 
Prof. Dr. Jan Kirschke 
22.01
11.00 - 11.15
Coffee break

22.01
11.15 - 12.00
AI and DL in clinical practice: 
perspectives from neuroradiology  
Prof. Dr. Benedikt Wiestler 
22.01
12.00 - 13.00
Lunch
​
Hospital Cafetaria
13.00 - 14.30
Generation of synthetic MRI datasets
Dr. Jorge Cardoso
22.01
14.30 - 14.45
Coffee break
​
22.01
14.45 - 16.45
Generation of synthetic MRI datasets
Dr. Jorge Cardoso
22.01