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Andrew Beers
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2020 – today
- 2023
- [c5]Andrew Beers
:
Influencer Publics and the Divergent Construction of Social Media Realities. CSCW Companion 2023: 448-451 - [c4]Andrew Beers, Joseph S. Schafer
Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US Election. ICWSM 2023: 59-71 - [c3]Vidya Setlur, Andrew Beers:
LOKI: Reusing Custom Concepts in Interactive Analytic Workflows. EuroVis (Short Papers) 2023: 25-29 - [i7]Andrew Beers, Joseph S. Schafer, Ian Kennedy, Morgan Wack, Emma S. Spiro
Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US Election. CoRR abs/2303.04620 (2023) - 2021
- [j3]Andrew Beers, James M. Brown
DeepNeuro: an open-source deep learning toolbox for neuroimaging. Neuroinformatics 19(1): 127-140 (2021) - [j2]Yoganand Balagurunathan
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40(12): 3748-3761 (2021) - 2020
- [c2]Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay B. Patel, Ken Chang, Adrien Depeursinge, Henning Müller
An exploration of uncertainty information for segmentation quality assessment. Medical Imaging: Image Processing 2020: 113131K
2010 – 2019
- 2018
- [j1]Ken Chang, Niranjan Balachandar
Distributed deep learning networks among institutions for medical imaging. J. Am. Medical Informatics Assoc. 25(8): 945-954 (2018) - [c1]Andrew Beers, Ken Chang, James M. Brown
Sequential neural networks for biologically-informed glioma segmentation. Medical Imaging: Image Processing 2018: 1057433 - [i6]Andrew Beers, James M. Brown, Ken Chang, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Jayashree Kalpathy-Cramer:
High-resolution medical image synthesis using progressively grown generative adversarial networks. CoRR abs/1805.03144 (2018) - [i5]Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
DeepNeuro: an open-source deep learning toolbox for neuroimaging. CoRR abs/1808.04589 (2018) - [i4]Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown:
Deep feature transfer between localization and segmentation tasks. CoRR abs/1811.02539 (2018) - [i3]Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy:
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR abs/1812.07832 (2018) - 2017
- [i2]Andrew Beers, Ken Chang, James M. Brown, Emmett Sartor, C. P. Mammen, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation. CoRR abs/1709.02967 (2017) - [i1]Ken Chang, Niranjan Balachandar
Institutionally Distributed Deep Learning Networks. CoRR abs/1709.05929 (2017)
Coauthor Index
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