Current Master Thesis Topics at DHC:

• What’s in the image? Exploring target EHR variables from Clinical Brain MRI. Contact Benjamin Bergner
• Study of machine learning methods to enable patient stratification at scale. Contact Riccardo Miotto
• Subphenotyping of COVID‐19 associated AKI using deep learning. Contact Girish Nadkarni
• Utilizing geographic information system (GIS) and air pollution data along with EHR using machine learning to predict kidney disease progression. Contact Girish Nadkarni
• Automatic annotation of medical objects and text features in chest x-rays. Contact Jana Fehr
• Computationally-Efficient Deep Learning for 3D Medical Imaging. Contact Aiham Taleb
• Active Learning for 3D Medical Image Semantic Segmentation. Contact Aiham Taleb
• Unsupervised Representation Learning from 3D Medical Images. Contact Aiham Taleb
• Generative Adversarial Networks (GANs) for 3D Medical Images. Contact Aiham Taleb
• Building a unified model selector for a medical imaging model zoo. Contact Benjamin Bergner
• Economic outcome of diverging treatment decisions for people with low back pain. Contact Daniel Lewkowicz
• Differential expression (DE) analysis of TCGA RNA-seq dataset and integrating all it as a reproducible workflow. Contact Dr. Alva Rani James
• Auto-Encoding for predicting the molecular pathways associated with lncRNAs in cancer ( aim students with data science and biology/genomics background). Contact Dr. Alva Rani James
• eTranslation – using natural language processing to translate health-related data. Contact Dr. Attila Wohlbrandt
• Creating Visual Summaries of Clinical Practice Guidelines with Natural Language Processing. Contact Florian Borchert
• Unsupervised Human 3D Pose Estimation for Clinical Use Cases. Contact Prof. Bert Arnrich
• Federated Learning in Medical Imaging. Contact Prof. Bert Arnrich
• Integrative time series analysis: Data from a clinical cross-over study in intermittent fasting Contact Dr.Nico Steckhan
• Precision Psychology via Machine Learning on EHR-data from the Mount Sinai Health System. Contact Dr. Hanna Drimalla
• Validation of a Digital Stress Test with Psychological and Physiological measures. Contact Dr. Hanna Drimalla

 If you have your own ideas for a possible thesis, please feel free to contact us to discuss your thoughts.

Further Topics to take part in our DHC research

• Analysis and creation of predictive models (using Machine Learning) based on Biosignals such as ECG (Electrocardiogram) and PPG (Photoplethysmography) in normal and hypertensive populations, Contact: Suparno Datta and Ariane Morassi-Sasso
• Collecting information from daily life through wearables for monitoring Cardio Vascular Diseases, Contact: Ariane Morassi-Sasso and Suparno Datta