Evelin Schmidt

Topic: ‘3D Medical Image Segmentation with Vantage Point Forests and Binary Context Features’ Implementation of a supervised machine learning algorithm to classify medical image data (Python, C++, Matlab)

Development of tools dedicated to intensive data processing. Implementation and optimization of statistical algorithms. (Python, C) Graphical User Interface development. (PyQt)

Working on the topic of noise measurement in video endoscopes according to EMVA 1288 Standard and ISO 15739 Standard. * Digital image processing (C++, OpenCV) * Implementation of noise quantification algorithms in Scilab and C++ * Multi-threaded Graphical User Interface development

The internship focused on web scraping, database management and data analysis. (Python, Kapow Katalyst Platform, MySQL)

Weekly tutorials dealing with topics like computer architectures, machine level instructions and understanding typical components of microcontrollers. Furthermore, we have been programming a Hitachi H8S/2357 Microcontroller ( C Programming) with a focus on ports, timer pulse unit (TPU), serial interface (SCI), A/D D/A Converters, Interrupt controller, etc.)

Helping out fellow students understand better the content of the course while solving exercises, as well as preparing for laboratory tasks and exams.

Medical Image Processing, Data Acquisition and Processing, Robotics, Therapy Technologies, Biosignal Processing, Market Perspectives, Signal Processing in Imaging Modalities, etc.

C Programming, C++ Programming, Java Programming, Signals and Systems, Digital Signal Processing, Digital Communications, Microcontrollers, Digital Systems, Operating Systems, Algorithms and Data Structures, Computer Graphics, etc.