Analysis, Online Estimation, and Validation of a Competing Virus Model. - Philip E. Paré; Damir Vrabac; Henrik Sandberg; Karl Henrik Johansson (ACC, 2020)

Overcoming Challenges for Estimating Virus Spread Dynamics from Data. - Damir Vrabac; Philip E. Paré; Henrik Sandberg; Karl Henrik Johansson (CISS, 2020)

DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set. - Damir Vrabac; Akshay Smit; Rebecca Rojansky; Yasodha Natkunam; Ranjana H. Advani; Andrew Y. Ng; Sebastian Fernandez-Pol; Pranav Rajpurkar (CoRR, 2020)

GloFlow: Whole Slide Image Stitching from Video Using Optical Flow and Global Image Alignment. - Viswesh Krishna; Anirudh Joshi; Damir Vrabac; Philip L. Bulterys; Eric Yang; Sebastian Fernandez-Pol; Andrew Y. Ng; Pranav Rajpurkar (MICCAI (8), 2021)

MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning. - Akshay Smit; Damir Vrabac; Yujie He; Andrew Y. Ng; Andrew L. Beam; Pranav Rajpurkar (CoRR, 2021)

MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning. - Damir Vrabac; Akshay Smit; Yujie He; Andrew Y. Ng; Andrew L. Beam; Pranav Rajpurkar (MIDL, 2022)

Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model. - Damir Vrabac; Mingfeng Shang; Brooks Butler; Joseph Pham; Raphael E. Stern; Philip E. Paré (IEEE Control. Syst. Lett., 2022)

Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. - Serina Chang; Damir Vrabac; Jure Leskovec; Johan Ugander (AAAI, 2023)