AB
Andrew Beers
cs.CVDeep Learningcs.SIdeep learningBrain NeoplasmsCerebral Blood Volumecs.CYcs.LGDSC-MRIGlioblastoma
On Valency
published · living versionsW_ctyr365s·v1 · currentpublished
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
with Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer +422
1 version
Preprints & journals
31 papers in the corpus · 2017–2026Investigating the Impact of Online Abortion Myths on Health Care Providers and Advocates: Interview Study.42748039 · Moran, Rachel E, Simoes, Julia, Agajanian, Taylor et al.2026 · 0 citationsJMIR public health and surveillance. 2026;12:e77050
WikiReddit: Tracing Information and Attention Flows Between Online Platforms2502.04942v2 · Patrick Gildersleve, Anna Beers, Viviane Ito et al.2025 · 1 citationarXiv
ElectionRumors2022: A Dataset of Election Rumors on Twitter During the 2022 US Midterms2407.16051v1 · Joseph S Schafer, Kayla Duskin, Stephen Prochaska et al.2024 · 1 citationarXiv
Selective and deceptive citation in the construction of dueling consensuses.37738338 · Beers, Andrew, Nguyễn, Sarah, Starbird, Kate et al.2023 · 11 citationsScience advances. 2023;9(38):eadh1933
Bavituximab Decreases Immunosuppressive Myeloid-Derived Suppressor Cells in Newly Diagnosed Glioblastoma Patients.37327319 · Ly, K Ina, Richardson, Leland G, Liu, Mofei et al.2026 · 22 citationsClinical cancer research : an official journal of the American Association for Cancer Research. 2023;29(16):3017-3025
Followback Clusters, Satellite Audiences, and Bridge Nodes: Coengagement Networks for the 2020 US Election.38655460 · Beers, Andrew, Schafer, Joseph S, Kennedy, Ian et al.2024 · 12 citationsProceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media. 2023;17:59-71
Combining interventions to reduce the spread of viral misinformation.35739250 · Bak-Coleman, Joseph B, Kennedy, Ian, Wack, Morgan et al.2022 · 159 citationsNature human behaviour. 2022;6(10):1372-1380
Repeat Spreaders and Election Delegitimization: A Comprehensive Dataset of Misinformation Tweets from the 2020 U.S. Electionpgv2x_v1 · Ian Kennedy, Morgan Wack, Andrew Beers et al.2022 · 16 citationsSocArXiv
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.34264825 · Balagurunathan, Yoganand, Beers, Andrew, Mcnitt-Gray, Michael et al.2021 · 39 citationsIEEE transactions on medical imaging. 2021;40(12):3748-3761
Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma.33842889 · Hoebel, Katharina V, Patel, Jay B, Beers, Andrew L et al.2024 · 54 citationsRadiology. Artificial intelligence. 2021;3(1):e190199
DeepNeuro: an open-source deep learning toolbox for neuroimaging.32578020 · Beers, Andrew, Brown, James, Chang, Ken et al.2021 · 45 citationsNeuroinformatics. 2021;19(1):127-140
Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density.32592660 · Chang, Ken, Beers, Andrew L, Brink, Laura et al.2021 · 51 citationsJournal of the American College of Radiology : JACR. 2020;17(12):1653-1662
Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge.32548297 · Bell, Laura C, Semmineh, Natenael, An, Hongyu et al.2021 · 12 citationsTomography (Ann Arbor, Mich.). 2020;6(2):203-208
Quantitative Imaging Informatics for Cancer Research.32392097 · Fedorov, Andrey, Beichel, Reinhard, Kalpathy-Cramer, Jayashree et al.2021 · 15 citationsJCO clinical cancer informatics. 2020;4:444-453
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement.31190077 · Chang, Ken, Beers, Andrew L, Bai, Harrison X et al.2020 · 180 citationsNeuro-oncology. 2019;21(11):1412-1422
Bevacizumab Reduces Permeability and Concurrent Temozolomide Delivery in a Subset of Patients with Recurrent Glioblastoma.31558474 · Gerstner, Elizabeth R, Emblem, Kyrre E, Chang, Ken et al.2020 · 67 citationsClinical cancer research : an official journal of the American Association for Cancer Research. 2020;26(1):206-212
Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture.31295616 · Silva, Michael A, Patel, Jay, Kavouridis, Vasileios et al.2020 · 69 citationsWorld neurosurgery. 2019;131:e46-e51
Evaluating Multisite rCBV Consistency from DSC-MRI Imaging Protocols and Postprocessing Software Across the NCI Quantitative Imaging Network Sites Using a Digital Reference Object (DRO).30854448 · Bell, Laura C, Semmineh, Natenael, An, Hongyu et al.2020 · 29 citationsTomography (Ann Arbor, Mich.). 2019;5(1):110-117
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images1812.07832v1 · Bruno Lecouat, Ken Chang, Chuan-Sheng Foo et al.2018 · 33 citationsarXiv
Deep feature transfer between localization and segmentation tasks1811.02539v2 · Szu-Yeu Hu, Andrew Beers, Ken Chang et al.2018 · 4 citationsarXiv
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge1811.02629v3 · Spyridon Bakas, Mauricio Reyes, Andras Jakab et al.2018 · 1,441 citationsarXivon Valency
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.30271370 · Winzeck, Stefan, Hakim, Arsany, McKinley, Richard et al.2023 · 175 citationsFrontiers in neurology. 2018;9:679
Distributed deep learning networks among institutions for medical imaging.29617797 · Chang, Ken, Balachandar, Niranjan, Lam, Carson et al.2019 · 339 citationsJournal of the American Medical Informatics Association : JAMIA. 2018;25(8):945-954
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.29801159 · Brown, James M, Campbell, J Peter, Beers, Andrew et al.2019 · 656 citationsJAMA ophthalmology. 2018;136(7):803-810
High-resolution medical image synthesis using progressively grown generative adversarial networks1805.03144v2 · Andrew Beers, James Brown, Ken Chang et al.2018 · 78 citationsarXiv
Erratum: Semi-automated pulmonary nodule interval segmentation using the NLST data.29894564 · Balagurunathan, Yoganand, Beers, Andrew, Kalpathy-Cramer, Jayashree et al.2024 · 1 citationMedical physics. 2018;45(6):2689-2690
Temporo-Spatial Collaborative Filtering for Parameter Estimation in Noisy DCE-MRI Sequences: Application to Breast Cancer Chemotherapy Response1803.01099v1 · Xia Zhu, Dipanjan Sengupta, Andrew Beers et al.2018 · 2 citationsarXiv
Semi-automated pulmonary nodule interval segmentation using the NLST data.29363773 · Balagurunathan, Yoganand, Beers, Andrew, Kalpathy-Cramer, Jayashree et al.2018 · 19 citationsMedical physics. 2018;45(3):1093-1107
Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging.29167275 · Chang, Ken, Bai, Harrison X, Zhou, Hao et al.2019 · 394 citationsClinical cancer research : an official journal of the American Association for Cancer Research. 2018;24(5):1073-1081
Institutionally Distributed Deep Learning Networks1709.05929v1 · Ken Chang, Niranjan Balachandar, Carson K Lam et al.2017 · 3 citationsarXiv
Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation1709.02967v1 · Andrew Beers, Ken Chang, James Brown et al.2017 · 31 citationsarXiv
Career total: 90 works. 31 are in this corpus.
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