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2020 – today
- 2023
[c6]Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks. AAAI 2023: 14161-14169- 2022
- [j1]Damir Vrabac, Mingfeng Shang, Brooks Butler, Joseph Pham, Raphael E. Stern
, Philip E. Paré:
Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model. IEEE Control. Syst. Lett. 6: 103-108 (2022) - [c5]Damir Vrabac, Akshay Smit, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar:
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning. MIDL 2022: 1301-1310 - [i4]Serina Chang, Damir Vrabac, Jure Leskovec, Johan Ugander:
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks. CoRR abs/2212.06224 (2022) - 2021
- [c4]Damir Vrabac, Mingfeng Shang, Brooks Butler, Joseph Pham, Raphael E. Stern, Philip E. Paré:
Capturing the Effects of Transportation on the Spread of COVID-19 with a Multi-Networked SEIR Model. ACC 2021: 3152-3157 - [c3]Viswesh Krishna, Anirudh Joshi, Damir Vrabac, Philip L. Bulterys, Eric Yang, Sebastian Fernandez-Pol, Andrew Y. Ng, Pranav Rajpurkar:
GloFlow: Whole Slide Image Stitching from Video Using Optical Flow and Global Image Alignment. MICCAI (8) 2021: 519-528 - [i3]Akshay Smit, Damir Vrabac, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar:
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning. CoRR abs/2103.14339 (2021) - 2020
- [c2]Philip E. Paré, Damir Vrabac, Henrik Sandberg, Karl Henrik Johansson:
Analysis, Online Estimation, and Validation of a Competing Virus Model. ACC 2020: 2556-2561 - [c1]Damir Vrabac, Philip E. Paré, Henrik Sandberg, Karl Henrik Johansson:
Overcoming Challenges for Estimating Virus Spread Dynamics from Data. CISS 2020: 1-6 - [i2]Philip E. Pare, Damir Vrabac, Henrik Sandberg, Karl Henrik Johansson:
Analysis, Online Estimation, and Validation of a Competing Virus Model. CoRR abs/2001.10532 (2020) - [i1]Damir Vrabac, Akshay Smit, Rebecca Rojansky, Yasodha Natkunam, Ranjana H. Advani, Andrew Y. Ng, Sebastian Fernandez-Pol, Pranav Rajpurkar:
DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set. CoRR abs/2009.08123 (2020)
Coauthor Index
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