**Przedmiot prowadzony przez dr. Artura Yakimovicha z
The Center for Advanced Systems Understanding (CASUS). Prezedmiot prowadzony jest nieregularnie:
Wstępny terminarz 20,21 kwietnia, 25,26 maja oraz 15 czerwca po 3h**
Imaging in Biology and Medicine provides a window to the hidden worlds. Visualising objects
ranging from molecules and cells to body parts and organisms allows us to intuitively
understand these worlds. Yet, beyond merely being able to look, with the help of modern-
day Computer Vision algorithms, we can measure and understand what happens in those
invisible worlds. Empowered by Computer Science, modern biomedical imaging has become
indispensable in research and diagnostics and bears promise to power the future of
precision medicine.
In this course, you will get an overview of modern-day biomedical imaging techniques and
understand the respective purpose of each technique ranging from X-ray imaging to
superresolution light microscopy and electron microscopy. You will learn the peculiarities of
working with specific imaging data, as well as basic data manipulations. Furthermore, you
will be introduced to conventional and state-of-the-art machine learning and deep learning
techniques used to analyse these data. The course contains 13 lectures delivered in two
blocks (April and May). Finally, this course contains practical project work and presentations
(June).
Prerequisites: basic understanding of algorithms and data structures, a basic understanding
of machine learning, an advanced understanding of statistics, and an advanced level of
Python.
