ADNI | Active Investigations

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Active Investigations

There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.

Principal Investigator
Principal Investigator's Name:	Lukas Toigo
Institution:	FH Salzburg
Department:	Student Body
Country:
Proposed Analysis:	We want to train a GAN (2 models: CycleGan, CUT) to synthesis CT images from MRI images (of the brain). Our main goal is to analyze and evaluate how pathological findings can influence the quality and accuracy of the synthesised CT image. Additionally, we are searching for measures to counteract pathological findings in the image sources.
Additional Investigators
Investigator's Name:	Jakob Ganitzer
Proposed Analysis:	We want to train a GAN (2 models: CycleGan, CUT) to synthesis CT images from MRI images (of the brain). Our main goal is to analyze and evaluate how pathological findings can influence the quality and accuracy of the synthesised CT image. Additionally, we are searching for measures to counteract pathological findings in the image sources.
Investigator's Name:	Alexander Penker
Proposed Analysis:	We want to train a GAN (2 models: CycleGan, CUT) to synthesis CT images from MRI images (of the brain). Our main goal is to analyze and evaluate how pathological findings can influence the quality and accuracy of the synthesised CT image. Additionally, we are searching for measures to counteract pathological findings in the image sources.