• Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Principal Investigator  
Principal Investigator's Name: Alexander Koubaa
Institution: Westminster School / The Knowledge Society (Student Researcher)
Department: Connectomics, Machine Learning
Proposed Analysis: Implementing deep convolutional neural networks to classify and predict prognoses of Alzheimer’s in patients based on MRI neuroimage data. The proposed model receives sequences of MRI neuroimages and produces the likelihood of the patient's conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD). The proposed model is to be trained on structural MRI scans from the ADNI database, with neuroimages assigned to one of three categories: control (CN), mild cognitive impairment (MCI), and Alzheimer's disease (AD). The NIfTI image files will be pre-processed to normalize dimensions across neuroimages, processed using the NiBabel library, and ultimately converted to tensors.
Additional Investigators