Nico Lösch

R&D Software Engineer for the next generation of surgical navigation

- Semantic segmentation of bladder carcinomas. - Development of a more efficient labeling tool in PyQT and processing of surgical videos to extract meaningful images and information

Efficient Medical Imaging with Graph Neural Networks - Semantic segmentation of glioblastomas with graph neural networks - Investigation of U-Net architecture with varying convolutional and pooling layers to improve the global aggregation capabilities of graph neural networks

- Control of a Research Robot - Python and C++ interaction - TCP connection to transmit information from a gaze control sensor

- C++ programming of the Franka Emika research robot - Control of a force sensore with EtherCAT - Preparation of lecture slides and scripts with interactive content

Real-time Control of an Articulated Robotic Arm using a Virtual Reality System - Implementation of a real-time force control loop of the Franka Emika Panda research robot (C++) - Implementation of the HTC Vive VR system in Linux with the OpenVR SDK (C++) - Trial with 24 participants executing tasks with the implemented telemanipulation robot system

- Calcium and iodine separation with the novel photon counting detector in clinical CT - Setup and evaluation of the 3D cardio phantom

- Setup and evaluation of the 3D cardio phantom

Establishment of a Protocol to Quantify Spatially-resolved Magnetic Resonance Spectroscopy - Preparation of a MRS protocol to quantify 5 important neurotransmitters in rodents - Evaluating the established protocol in a trial with living rodents

Working on medical image segmentation approaches to imporve accuracy and acceptance of AI algorithms in medical applications

Bildgebende Verfahren in der Medizintechnik Avitale Implantate