Andrew Beers

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Sparsely Connected

Cohesive Subgroups

Centrality Measures

Top Venues

Medical Imaging: Image Processing

IEEE Trans. Medical Imaging

Publications

Andrew Beers, Joseph S. Schafer, Ian Kennedy, Morgan Wack, Emma S. Spiro, Kate Starbird
Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US Election. CoRR (2023)
Andrew Beers, Joseph S. Schafer, Ian Kennedy, Morgan Wack, Emma S. Spiro, Kate Starbird
Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US Election. ICWSM (2023)
Andrew Beers
Influencer Publics and the Divergent Construction of Social Media Realities. CSCW Companion (2023)
Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Jay B. Patel, K. Ina Ly, Sara M. Tolaney, Priscilla K. Brastianos, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer
DeepNeuro: an open-source deep learning toolbox for neuroimaging. Neuroinformatics 19 (1) (2021)
Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbelaez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40 (12) (2021)
Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay B. Patel, Ken Chang, Adrien Depeursinge, Henning Müller, Jayashree Kalpathy-Cramer
An exploration of uncertainty information for segmentation quality assessment. Medical Imaging: Image Processing (2020)
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 (2018)
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 (2018)
Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Distributed deep learning networks among institutions for medical imaging. J. Am. Medical Informatics Assoc. 25 (8) (2018)
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 (2018)
Andrew Beers, Ken Chang, James M. Brown, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer
Sequential neural networks for biologically-informed glioma segmentation. Medical Imaging: Image Processing (2018)
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 (2018)
Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
Institutionally Distributed Deep Learning Networks. CoRR (2017)
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 (2017)