Physiological Markers for the Prognosis of Memory Decline (nationaler Forschungspartner im FWF KLI Projekt 00012)

Uhl, Andreas (Principal Investigator)
Gschwandtner, Michael (Co-Investigator)
Liedlgruber, Michael (Co-Investigator)

Description

Our particular contribution is MRT segmentation with emphasis on the hippocampus and derivation of sensible features as well as the application of ensemble classification techniques, combining EEG and MRT features

Short title	Physiological Markers for the Prognosis of Memory Decline
Status	Finished
Effective start/end date	1/11/11 → 31/10/14

Fields of Science and Technology Classification 2012

102 Computer Sciences

Fields of Science and Technology Classification 2012 (6-digit codes)

102001 Artificial intelligence
102003 Image processing

Fields of Science and Technology Classification 2002

1124 Digital image processing and graphics
1122 Artificial intelligence

1 Article

An empirical assessment of appearance descriptors applied to MRI for automated diagnosis of TLE and MCI
Hofer, C., Kwitt, R., Höller, Y., Trinka, E. & Uhl, A., 1 Feb 2020, In: Computers in Biology and Medicine. 117, 103592.
Research output: Contribution to journal › Article › peer-review