Doctoral Projects

The TUM Graduate School of BioEngineering (GSB) offers interdisciplinary doctoral education at the interface of natural and life sciences, medicine, engineering and computer science on a highest scientific level. One of the major goals of all participating natural scientists, engineers and physicians is to use the graduate school to apply new fundamental knowledge to practice as immediate as possible (translational research).

Our network includes many doctoral candidates, faculty members and mentors, representing numerous faculties and departments at the Technical University Munich.
 
The Graduate School of BioEngineering (GSB) provides a highly stimulating environment for doctoral research. Our graduate centre attracts outstanding candidates from a variety of academic backgrounds. At the moment, the doctoral candidates are working on the following topics:

  • Alberts, Esther : Multi-modal brain tumor segmentation and tumor texture quantification for tumor type classification 
  • Baurecht, Hansjörg: Detecting Signals in Genomewide Association Studies 
  • Bieth, Marie: Analysis of Multimodal Whole-Body Imaging for Cancer Staging
  • Bild, Raffael: Differential Privacy For Biomedical Data 
  • Busam, Benjamin: New image processing techniques for optical tracking in medical applications 
  • Chowhury, Kaushik Basak: Methods for Optoacoustic Sensing 
  • Christ, Patrick: Convolutional and Fully Convolutional Neural Networks for medical image classification and segmentation 
  • Coello, Eduardo: Accelerated Magnetic Resonance Spectroscopic Imaging 
  • Das, Dhritiman: Next-generation compressed sensing techniques for a fast- and data- driven reconstruction of multi-contrast MRI 
  • Duliu, Alexandru Octavian: 3D muitispectrai reconstruction and visuahzation for skin cancer detection 
  • Esposito, Marco:  Collaborative Robotic Imaging 
  • Gardiazabal, José: Towards Robotic nuclear imaging 
  • Golkov, Vladimir: Variational methods and deep learning for high-dimensional and non- Euclidean medical data 
  • Graf, Eva: Healthcare Robotics
  • Gutjahr, Ralf: Predevelopment of Multi-Energy Algorithms for Photon Counting Computed Tomography 
  • Hehn,Nicolas: Development and Evaluation of an MRI spatial distortion correction tool for the PRONIA prognostic prototype 
  • Hundshammer, Christian: Multinuclear NMR-Spectroscopy applied on a PET/MR System 
  • Jang, Jihye: Cardiovascar MR imaging of scar and diffuse fibrosis in patients with ventricular arrhythmia 
  • Kubala, Eugen: 13C Metabolic Magnetic Resonance Imaging with Hyperpolarized 13C- labelled Metabolics 
  • Kushan, Marika: Significance of hybrid coil development for simultaneous MR/PET - Imaging 
  • Lautenschläger, Ronald: Pseudonymity in Translational Research 
  • Löb, Rebekka: Resolution modeling and anatomically regularized parametric reconstruction for simultaneous PET/MR data 
  • Mandal, Subhamoy: Visual Quality Enhancement in Optoacoustic Tomography: Methods in signal and image processing 
  • Rempfler, Markus: Structured Learning and Prediction for Vascular Network Extraction 
  • Rieke, Nicola: Structural image consistency in image registration 
  • Salehi, Mehrdad: Advanced Medical Ultrasound Imaging 
  • Sekuboyina, Anjany Kumar: Automatic segmentation, registration, and feature extraction from multi- modal image dataset of the spine (with a deep-learning approach) 
  • Shah, Amitkumar: Tracking and Navigation in Intra-operative Imaging 
  • Spengler, Helmut: Anonymisierung biomedizinischer Daten mittels statistischer Methoden 
  • Sprenger, Tim: Advanced diffusion MR Methods to study human brain 
  • Stefan, Philipp: Medical Simulation and Training 
  • Tetteh, Giles: Analysis of Vascular networks extracted from clinical MRA 
  • Thürauf, Sabine: Estimation of a Highly Accurate Robot Model Based on X-Ray Observation 
  • Ulas, Cagdas: Next Generation Compressed Sensing Techniques for the Fast and Dynamic Magnetic Resonance Imaging (MRI) 
  • Walter, Florian: Embodied Closed-Loop Learning in Neurorobotics. Applications of Neurobiological Mechanisms of Learning in Robot Cognition and Control 
  • Wolf, Johannes: Modelling of X-Ray Phase-Contrast Mammography 
  • Wunner, Felix: Development of a holistic Additive-Manufacturing Technology Platform for Melt-Electrospinning 
  • Zettinig, Oliver: Advanced Ultrasound Imaging Techniques for Computer Assisted Interventions