MaMSsub

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

MS Lesion Segmentation in multi-channel subtraction images

Supervision: Prof. Dr. Nassir Navab, Christoph Baur, Shadi Albarqouni

Abstract

TODO

Tasks:

  • TODO

Requirements:

  • Good understanding of medical physics
  • Good understanding of statistics and machine learning methods.
  • Very good programming skills in Python & TensorFlow?
  • Willingness to closely collaborate with physicians and experts in machine learning.

Location:

  • Garching

Literature

[1] Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A. and Bengio, Y., 2014. Generative adversarial nets. In Advances in Neural Information Processing Systems (pp. 2672-2680).


Students.ProjectForm
Title: MS Lesion Segmentation in multi-channel subtraction images
Abstract:  
Student: Sarthak Gupta
Director: Prof. Dr. Nassir Navab
Supervisor: Christoph Baur, Shadi Albarqouni
Type: IDP
Area: Machine Learning, Medical Imaging
Status: running
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.3 - 17 Sep 2017 - 15:03 - ShadiAlbarqouni