4 citations · 5 across the 4 of their papers we have counts for
5 papers
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks
Serina Chang, Damir Vrabac, Jure Leskovec +1
Many policies in the US are determined locally, e.g., at the county-level. Local policy regimes provide flexibility between regions, but may become less effective in the presence o…
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
Akshay Smit, Damir Vrabac, Yujie He +3
We propose a selective learning method using meta-learning and deep reinforcement learning for medical image interpretation in the setting of limited labeling resources. Our method…
Analysis and Estimation of Networked SIR & SEIR Models with Transportation Networks
Damir Vrabac, Raphael Stern, Philip E. Paré
In this paper we present the discrete-time networked SIR and SEIR models and present assumptions under which they are well defined. We analyze the limiting behavior of the models a…
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set
Damir Vrabac, Akshay Smit, Rebecca Rojansky +5
Diffuse Large B-Cell Lymphoma (DLBCL) is the most common non-Hodgkin lymphoma. Though histologically DLBCL shows varying morphologies, no morphologic features have been consistentl…
Analysis, Online Estimation, and Validation of a Competing Virus Model
Philip E. Pare, Damir Vrabac, Henrik Sandberg +1
In this paper we introduce a discrete time competing virus model and the assumptions necessary for the model to be well posed. We analyze the system exploring its different equilib…