Advanced School for Computing and Imaging (ASCI)

ASCI office
Delft University of Technology
Building 28, room 04.E120
Van Mourik Broekmanweg 6
2628 XE – DELFT, The Netherlands

P: +31 15 27 88032

Visiting hours office
Monday, Tuesday, Thursday: 10:00 – 15:00


The ASCI office is located at the Delft University of Technology campus.  It is easily accessible by bicycle, public transport and car. The numbers of buildings can help you find your way around the campus. Make sure you remember the name and building number of your destination.

Contact us at +31 15 278 8032 or send us an email at

A8 Front-end Vision and Deep Learning

A8 - Front-End Vision and Deep Learning

Year  2020-2021
Registration  click here
Course content
This course will discuss in detail modern findings in the neurophysiology, connectivity and functionality of the visual system, the best studied brain function today. And we deeply look into the mathematical background of Deep Learning.We give insight in modern approaches to deep convolutional neural nets, and we will teach a number of well-established mathematical modeling techniques in detail, in particular multi-scale and multi-orientation differential geometry, geometric reasoning, models for self-organization and plasticity, and geometric neural feedback, leading to effective adaptive operations. We present the theory in an axiomatic, intuitive and fundamentally understood way.

We discuss modern brain imaging methods at all scales, and innovative models for human and computational vision, such as the role of retinal stellate amacrine cells, on-off channels, colorization and temporal processing. The course is interspersed with working and powerful applications in medical image analysis, such as computer-aided detection of breast tumors, polyp detection in 3D virtual colonoscopy, deblurring, invariant feature detection, adaptive geometry-driven diffusion, development of retinal vessel biomarkers, and contextual Gestalt-based operators to deal with missing data.

For more detailed information please see:

Course objectives
The goal is to develop and better understand both highly effective medical computer-aided diagnosis systems, as well as modern models for visual perception.
Education method
Each morning of 3 lectures is followed by an afternoon computer lab (all software code is supplied). We exercise with all developed notions, exploiting the high-level ‘play and design’ functionality of Wolfram’s Mathematica 11.

Responsible Lecturer

Prof. Bart M. ter Haar Romeny

Education Period:

Expected in November 2020

Time schedule:

4 weeks every Wednesday and Thursday


Eindhoven University of Technology
TU/e Campus.
- Click on location icon for map -