Ing. John T LaMaster?, M.Sc.
I studied Biomedical Engineering in St. Louis, MO (USA) at Saint Louis University (B.S. 2014) where I focused on regenerative medicine. I then completed the Erasmus Mundus' Common European Master's Course in Biomedical Engineering (CEMACUBE) at RWTH Aachen University (RWTH Aachen, Germany) and the Czech Technical University in Prague (ČVUT Prague, Czech Republic) where I specialized in Medical Imaging Instrumentation (M.Sc. 2016). My interests have evolved from tissue engineering in my bachelor's to medical imaging in the master's, and I am now focusing on medical image processing and analysis based on machine learning and deep learning techniques primarily using MR images, MR spectroscopy, and tumor simulations. My current research, funded by the DAAD, focuses on integrating MRSI data into image-based deep learning networks to create computer-aided diagnostic (CAD) devices for use in diagnosing brain tumors.
- Medical image analysis
- Data simulation: using tumor growth models and CycleGANs? to simulate large volumes of tumor data
- Multiparametric MR data: working with different imaging sequences such as FLAIR, T1, T1CE, and T2 along with MR spectroscopy
- Computer-aided diagnositc algorithms (CAD devices): using machine learning techniques for disease diagnosis
Current Research Projects
- Simulating MR-based glioma data
- Clinical validation of a tumor growth model
Please contact me for available student projects (M.Sc thesis, B.Sc. thesis, semester projects) if you are interested in medical image analysis for brain applications based on MRI images and MR spectroscopy.