1 citations · 1 across the 4 of their papers we have counts for
6 papers
Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis
Tawsik Jawad, Gowtham Atluri, Vikram Ravindra
Electroencephalograph (EEG) timeseries signals are characterized by significant noise and coarse spatial resolution, which complicates the classification of neurodegenerative disea…
Deconvolving Complex Neuronal Networks into Interpretable Task-Specific Connectomes
Yifan Wang, Vikram Ravindra, Ananth Grama
Task-specific functional MRI (fMRI) images provide excellent modalities for studying the neuronal basis of cognitive processes. We use fMRI data to formulate and solve the problem…
Identifying and Analyzing Sepsis States: A Retrospective Study on Patients with Sepsis in ICUs
Chih-Hao Fang, Vikram Ravindra, Salma Akhter +4
Sepsis accounts for more than 50% of hospital deaths, and the associated cost ranks the highest among hospital admissions in the US. Improved understanding of disease states, sever…
Rigid Graph Alignment
Vikram Ravindra, Huda Nassar, David F. Gleich +1
Graph databases have been the subject of significant research and development. Problems such as modularity, centrality, alignment, and clustering have been formalized and solved in…
De-anonymization Attacks on Neuroimaging Datasets
Vikram Ravindra, Ananth Grama
Advances in imaging technologies, combined with inexpensive storage, have led to an explosion in the volume of publicly available neuroimaging datasets. Effective analyses of these…
Constructing Compact Brain Connectomes for Individual Fingerprinting
Vikram Ravindra, Petros Drineas, Ananth Grama
Recent neuroimaging studies have shown that functional connectomes are unique to individuals, i.e., two distinct fMRIs taken over different sessions of the same subject are more si…