This module will cover basic theoretical knowledge on visualrecognition systems of the last two decades, mostly focusing on themost recent advancements in deep learning and convolutional neuralnetworks.

This module will cover basic theoretical knowledge on visualrecognition systems of the last two decades, mostly focusing on themost recent advancements in deep learning and convolutional neuralnetworks.

Light and perception. Digital image formation. Image enhancement and feature extraction. Unitary transformations. Color and texture. Image segmentation. Motion extraction and tracking. 3D data extraction. Invariant features. Specific object recognition and object class recognition. Deep learning and Convolutional Neural Networks.

In this module, basic paradigms and techniques in working with data will be discussed, especially towards data security, managing data decentrally, and learning from data.

Two-week summer school organized by EXCITE (Center for EXperimental & Clinical Imaging TEchnologies Zurich) on biological and medical imaging. The course covers X-ray imaging, magnetic resonance imaging, nuclear imaging, ultrasound imaging, optoacoustic imaging, infrared and optical microscopy, electron microscopy, image processing and analysis.

Mathematical basics of estimation and machine learning, with a view towards applications in signal processing.

The initial module offers a practical introduction to some basic concepts and techniques for information processing as well as practical applications of them. The programming language are Python and SQL.

No description available.

It is the objective of this lecture to introduce the basic concepts usedin Medical Image Analysis. In particular the lecture focuses on shaperepresentation schemes, segmentation techniques, machine learning based predictive models and various image registration methods commonly used in Medical Image Analysis applications.

This is a seminar lecture focusing on recent research topics in biomedical image computing, machine learning techniques related to interpreting biomedical images and medical data in general. Every week a different topic will be presented and discussed.

This course provides an opportunity to familiarize yourself with the advanced topics of robotics and mechatronics research. The seminar consists of a literature study, including a report and a presentation.