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: | Renske de Boer |
Institution: | Quantib B.V. |
Department: | Research & Development |
Country: | |
Proposed Analysis: | Evaluation of brain MRI segmentation algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Additional Investigators | |
Investigator's Name: | Coert Metz |
Proposed Analysis: | Evaluation of brain MRI segmentation algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Ronald van 't Klooster |
Proposed Analysis: | Evaluation of brain MRI segmentation algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Steven Roodhorst |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Renée van der Winden |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | María García Sanz |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Oliver Werner |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Pim Moeskops |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Anna Akhmetyanova |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Guus Kolpa |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Lotte Mulder |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Milan Izarin |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |
Investigator's Name: | Lizette Heine |
Proposed Analysis: | * Training and optimization of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. * Clinical evaluation of brain MRI segmentation and detection algorithms on multi-center and multi-vendor MRI data of healthy, MCI and AD subjects. |