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:	Yining Jiao
Institution:	UNC-CHAPel hill
Department:	Computer Science
Country:
Proposed Analysis:	We are developing a data imputation method for multi-modality data including medical images and multiomics tabular features. We want to demonstrate our model can make good use of medical images and the consistency of different modalities from the same subject to boost the quality of data imputation.And we want to evaluate how much each modality contributes to data imputation.
Additional Investigators
Investigator's Name:	Wancen Mu
Proposed Analysis:	We are developing a data imputation method for multi-modality data including medical images and multiomics tabular features. We want to demonstrate our model can make good use of medical images and the consistency of different modalities from the same subject to boost the quality of data imputation.And we want to evaluate how much each modality contributes to data imputation.
Investigator's Name:	Ji-Eun Park
Proposed Analysis:	We are developing a data imputation method for multi-modality data including medical images and multiomics tabular features. We want to demonstrate our model can make good use of medical images and the consistency of different modalities from the same subject to boost the quality of data imputation.And we want to evaluate how much each modality contributes to data imputation.
Investigator's Name:	Natalie Stanley
Proposed Analysis:	We are developing a data imputation method for multi-modality data including medical images and multiomics tabular features. We want to demonstrate our model can make good use of medical images and the consistency of different modalities from the same subject to boost the quality of data imputation.And we want to evaluate how much each modality contributes to data imputation.