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We have a number of interesting MSc projects to offer at GE Healthcare in the area of Deep Learning in Echocardiography, including applications for quantification, image acquisition, and multi-modal image fusion for echocardiography.
Microbaroms are ocean-generated acoustic waves with peak frequency at ~0.2 Hz. These are generated continuously in specific ocean regions by the nonlinear interaction between counter-propagating waves, e.g., ocean swells and marine storms. There is a such hot-spot of particular interest close to Greenland and Iceland. These waves radiate into the atmosphere as microbaroms, as well as through the seafloor into the solid earth as microseisms. Microbaroms can be utilized to probe the atmospheric wind structure, in particular for the upper stratosphere layer for which there are few other technologies that sample the wind field. The stratosphere is an elevated layer in the atmosphere starting at around 15 km and reaching up to around 50 km altitude.
Reliable detection of gas leaks in the marine environment is important from an environmental as well as an economic point of view. CCS (carbon capture and storage) has been proposed as a technology for significantly reducing greenhouse gas emissions, by capturing CO2 from industrial sources and permanently storing it in geological reservoirs. Reliable and preferably automatic monitoring of the marine environment above such a storage site is needed in order to verify that the injected CO2 is safely stored and that there are no signs of leakage.
The RIMFAX antenna mounted on the rover and will see both stationary and moving parts of the rover. This master project will study different methods for remove the background signal from the rover structure.
Signal processing, image analysis, and machine learning for applications in medical imaging, sonar, seismics, and remote sensing.