Open Topics

Current Master Thesis Topics at DHC:

Describe the scan: Text Report Generation from Clinical Brain MRI. Updated 03/17/21. Contact Aiham Taleb
What’s in the image? Exploring target EHR variables from Clinical Brain MRI. Contact Benjamin Bergner
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
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

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

Open Topics

Current Master Thesis Topics at DHC:

Hasso Plattner Institute for Digital Health at Mount Sinai (HPI·MS)

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31.03.2021 | Künstliche Intelligenz im Einsatz für den Rettungsdienst

19.01.2021 | INTERVENE: Verbesserte Krankheitsprävention durch Einsatz von KI und Genomik

11.11.2020 | Neuer HPI Podcast: Wie KI bei der Erkennung psychischer Störungen helfen kann

08.10.2020 | Neuer Co-Direktor des Hasso Plattner Institute for Digital Health at Mount Sinai

04.09.2020 | COVID-19: Wissenschaftler warnen vor akutem Nierenversagen