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: | Linda Shapiro |
Institution: | University of Washington |
Department: | Computer Science and Engineering |
Country: | |
Proposed Analysis: | n our project, we plan to use the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset that combines many selective biomarkers together for a population of ~1600 participants aged between 55-91 with an aim to detect Alzheimer's Disease (AD). Our aim is to detect the Mild Cognitive Impairment and early AD stages by fusing different modalities such as MRI, PET, genetics, and demographics. We are planning to contribute to the field in three distinct ways: First, we will work on an end-to-end model that incorporates these different modalities in a meaningful way. Second, instead of using a small 'related' Single-nucleotide polymorphisms (SNP) subset, we will develop a model that non-linearly embeds a whole SNP sequence into a lower-dimensional vector by exploiting the pre-known related gene information. Lastly, the current state of the art of artificial learning is struggling to infer correlations between distant genes, so we argue that instead of representing the SNP data as a sequence, it may be useful to represent in the form of a grid-like structure that contains the gene interrelations. |
Additional Investigators | |
Investigator's Name: | Su-In Lee |
Proposed Analysis: | Analysis of the SNP data and gene exoression data to find correlations with the image data. |
Investigator's Name: | Sheng Wang |
Proposed Analysis: | Integrating SNP data in the visual model |
Investigator's Name: | Nicholas Nuechterlein |
Proposed Analysis: | MRI analysis and usage of sota imaging algorithms |
Investigator's Name: | Pranav Kamath |
Proposed Analysis: | Will help to implement dataloaders and helper functions |
Investigator's Name: | Mehmet Saygin Seyfioglu |
Proposed Analysis: | Working on the integration of multi-modality data |
Investigator's Name: | Zucks Lui |
Proposed Analysis: | Will work on multi modal transformers |
Investigator's Name: | Sadjyot Gangolli |
Proposed Analysis: | Will work on imaging modalities |
Investigator's Name: | Dylan Geva |
Proposed Analysis: | Visualization |
Investigator's Name: | Roy Seo |
Proposed Analysis: | Research on data augmentation techniques for structural MRI |