Scholar
Javier Salazar Cavazos
Google Scholar ID: 4blneycAAAAJ
PhD Candidate, University of Michigan
Citations & Impact
Citations
8
H-index
2
i10-index
0
Publications
5
Co-authors
4
list available
Publications
Resume (English only)
Research Experience
- Designing machine learning algorithms for heteroscedastic (noisy) data distributions
- Developed an improved PCA-like algorithm (ALPCAH) for subspace basis estimation of low-rank data
- Proposed an improved “K-means” style algorithm (ALPCAHUS) for unsupervised clustering of low-rank data
- Applied novel deep learning approaches to Alzheimer’s disease analysis in resting-state/task-based fMRI
- Designed 4D CNN (ISMRM25) with spatial-temporal kernels for 4D rs-fMRI disease diagnosis
- Studying temporal dynamics of BOLD timeseries for behavior score regression and non-healthy subgroup detection (ongoing)
- Developed smooth optimization algorithms for global and locally low-rank regularizers (under review)
