MaAlzheimerPred

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Predicting Alzheimer's Disease

Supervision by: Christian Wachinger (ai-med.de)
Contact: wachinge@in.tum.de

Project Description

Neurodegenerative disorders like Alzheimer’s disease (AD) are devastating brain diseases that severely affect a patient’s quality of life for many years and also comes with great economic costs associated with patient care. A variety of data is collected for studying AD including clinical, genetic, and imaging data, with a special focus on early detection and tracking of AD.

Alzheimer's disease causes severe atrophy (cortical thinning) in the brain, as shown in the image below. Such changes can be measured with magnetic resonance imaging (MRI). In addition, genetic markers can increase the risk for developing AD. In this project, we will use multi-modal data for studying Alzheimer's disease. The goal of this thesis is to develop machine and deep learning techniques for AD prediction that fully integrate multi-modal data.

24239522109_80aa4defd1_m.jpg
Credit: National Institute on Aging, National Institutes of Health, License

Requirements

  • We are looking for an enthusiastic student with programming skills (Python)
  • Experience in Machine Learning and Image Analysis is a plus.
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) is desirable.

Contact

If you are interested, please contact Christian Wachinger.





ProjectForm
Title: Predicting Alzheimer's Disease
Abstract:  
Student:  
Director: Nassir Navab
Supervisor: Christian Wachinger
Type: Master Thesis
Area: Machine Learning, Medical Imaging
Status: open
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 09 Nov 2018 - 09:24 - ChristianWachinger