MaSTNET

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

Spatio-temporal deep network for early disease detection

Supervision: Prof. Dr. Nassir Navab, Dr. Seong Tae Kim

Abstract

Alzheimer’s disease (AD) is one of the serious neurological diseases which is defined by slowly progressive memory loss and cognitive deficits. Detecting AD in an early stage is highly important for exerting possible interventions to delay its progression. To detect AD in the early stage, it is important to accurately analyze spatio-temporal patterns and changes in longitudinal medical data. In this project, we will develop a method to effectively detect AD/MCI from longitudinal brain scans. In particular, deep neural architecture and effective training strategy under the limited number of longitudinal scans would be explored.

Requirements:

  • Good understanding of statistics and machine learning methods.
  • Very good programming skills in Python & TensorFlow? / PyTorch?

Location:

  • Garching

ProjectForm
Title: Spatio-temporal deep network for early disease detection
Abstract: Alzheimer’s disease (AD) is one of the serious neurological diseases which is defined by slowly progressive memory loss and cognitive deficits. Detecting AD in an early stage is highly important for exerting possible interventions to delay its progression. To detect AD in the early stage, it is important to accurately analyze spatio-temporal patterns and changes in longitudinal medical data. In this project, we will develop a method to effectively detect AD/MCI from longitudinal brain scans. In particular, deep neural architecture and effective training strategy under the limited number of longitudinal scans would be explored.
Student: Borja Sánchez Clemente
Director: Prof. Dr. Nassir Navab
Supervisor: Dr. Seong Tae Kim
Type: Project
Area: Machine Learning, Medical Imaging
Status: running
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.1 - 20 Apr 2020 - 12:47 - SeongTaeKim