Andrew Beers - Concepedia

Author

Andrew Beers

Massachusetts General Hospital ORCID

Also Known As

Andrew Beers, Andrew L Beers, Andrew L. Beers, Anna Beers, Beers, Andrew, Beers, Anna, Xenia J. Fave

Publications

2.7K

Citations

H-Index

Concepts

All Affiliations

Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging Brigham and Women's Hospital Harvard University University of Washington

About

Andrew Beers is an author at Massachusetts General Hospital specializing in engineering, medical image computing, and radiology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	565
2	Medicine	7	7	369
3	Health Sciences	3	3	146
4	Arts	2	2	38
5	Social Sciences	2	2	38

Andrew Beers

Publications

2.5K

Citations

H-Index

Page 1

	Year	Citations
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks James M. Brown, J. Peter Campbell, Andrew Beers, JAMA Ophthalmology	2018	631
Residual Convolutional Neural Network for the Determination of <i>IDH</i> Status in Low- and High-Grade Gliomas from MR Imaging Ken Chang, Harrison X. Bai, Hao Zhou, Clinical Cancer Research	2017	378
Distributed deep learning networks among institutions for medical imaging Ken Chang, Niranjan Balachandar, Carson Lam, Journal of the American Medical Informatics Association	2018	339
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement Ken Chang, Andrew Beers, Harrison X. Bai, Neuro-Oncology	2019	168
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI Stefan Winzeck, Arsany Hakim, Richard McKinley, Frontiers in Neurology Artificial IntelligenceConvolutional Neural NetworkMedical Image SegmentationEngineeringMachine Learning	2018	162
Combining interventions to reduce the spread of viral misinformation Joseph B. Bak-Coleman, Ian Kennedy, Morgan Wack, Nature Human Behaviour	2022	137
Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture Michael A. Silva, Jay Patel, Vasileios K. Kavouridis, World Neurosurgery Artificial IntelligenceEngineeringMachine LearningData ScienceMachine Learning Model	2019	66
Bevacizumab Reduces Permeability and Concurrent Temozolomide Delivery in a Subset of Patients with Recurrent Glioblastoma Elizabeth R. Gerstner, Kyrre E. Emblem, Ken Chang, Clinical Cancer Research	2019	62
Automated Fundus Image Quality Assessment in Retinopathy of Prematurity Using Deep Convolutional Neural Networks Aaron S. Coyner, Ryan Swan, J. Peter Campbell, Ophthalmology Retina Convolutional Neural NetworkImage AnalysisEngineeringMedical ImagingOphthalmology	2019	60
Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma Katharina Hoebel, Jay Patel, Andrew Beers, Radiology Artificial Intelligence	2020	51

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