14 citations · 19 across the 4 of their papers we have counts for
7 papers
The Effect of Super-spreader Events in Epidemics
Harisankar Ramaswamy, Assad A Oberai, Mitul Luhar +1
The spread of infectious epidemics is often accelerated by super-spreader events. Understanding their effect is important, particularly in the context of standard epidemiological m…
A comprehensive spatial-temporal infection model
Harisankar Ramaswamy, Assad A Oberai, Yannis C Yortsos
Motivated by analogies between the spreading of human-to-human infections and of chemical processes, we develop a comprehensive model that accounts both for infection and for trans…
Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative
Mingxi Lei, Bino Varghese, Darryl Hwang +6
There is no consensus regarding the radiomic feature terminology, the underlying mathematics, or their implementation. This creates a scenario where features extracted using differ…
GAN-based Priors for Quantifying Uncertainty
Dhruv V. Patel, Assad A. Oberai
Bayesian inference is used extensively to quantify the uncertainty in an inferred field given the measurement of a related field when the two are linked by a mathematical model. De…
Spectral Analysis Of Weighted Laplacians Arising In Data Clustering
Franca Hoffmann, Bamdad Hosseini, Assad A. Oberai +1
Graph Laplacians computed from weighted adjacency matrices are widely used to identify geometric structure in data, and clusters in particular; their spectral properties play a cen…
Bayesian Inference with Generative Adversarial Network Priors
Dhruv Patel, Assad A Oberai
Bayesian inference is used extensively to infer and to quantify the uncertainty in a field of interest from a measurement of a related field when the two are linked by a physical m…