Marcus Badgeley
Marcus Badgeley
Massachusetts General Hospital, Massachusetts Institute of Technology
Няма потвърден имейл адрес
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study
JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann
PLoS medicine 15 (11), e1002683, 2018
Automated deep-neural-network surveillance of cranial images for acute neurologic events
JJ Titano, M Badgeley, J Schefflein, M Pain, A Su, M Cai, N Swinburne, ...
Nature medicine 24 (9), 1337-1341, 2018
The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit
YFY Chan, P Wang, L Rogers, N Tignor, M Zweig, SG Hershman, ...
Nature biotechnology 35 (4), 354-362, 2017
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams
K Shameer, MA Badgeley, R Miotto, BS Glicksberg, JW Morgan, ...
Briefings in bioinformatics 18 (1), 105-124, 2017
Deep learning predicts hip fracture using confounding patient and healthcare variables
MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ...
NPJ digital medicine 2 (1), 31, 2019
Natural language–based machine learning models for the annotation of clinical radiology reports
J Zech, M Pain, J Titano, M Badgeley, J Schefflein, A Su, A Costa, ...
Radiology 287 (2), 570-580, 2018
Deep learning guided stroke management: a review of clinical applications
R Feng, M Badgeley, J Mocco, EK Oermann
Journal of neurointerventional surgery 10 (4), 358-362, 2018
Hybrid nanoparticles improve targeting to inflammatory macrophages through phagocytic signals
V Bagalkot, MA Badgeley, T Kampfrath, JA Deiuliis, S Rajagopalan, ...
Journal of controlled release 217, 243-255, 2015
Confounding variables can degrade generalization performance of radiological deep learning models
JR Zech, MA Badgeley, M Liu, AB Costa, JJ Titano, EK Oermann
arXiv preprint arXiv:1807.00431, 2018
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning
K Shameer, BS Glicksberg, R Hodos, KW Johnson, MA Badgeley, ...
Briefings in bioinformatics 19 (4), 656-678, 2018
EHDViz: clinical dashboard development using open-source technologies
MA Badgeley, K Shameer, BS Glicksberg, MS Tomlinson, MA Levin, ...
BMJ open 6 (3), e010579, 2016
Epidemiology of 10,000 high school football injuries: patterns of injury by position played
MA Badgeley, NM McIlvain, EE Yard, SK Fields, RD Comstock
Journal of physical activity and health 10 (2), 160-169, 2013
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks
BS Glicksberg, L Li, MA Badgeley, K Shameer, R Kosoy, ND Beckmann, ...
Bioinformatics 32 (12), i101-i110, 2016
In vivo targeting of inflammation-associated myeloid-related protein 8/14 via gadolinium immunonanoparticles
A Maiseyeu, MA Badgeley, T Kampfrath, G Mihai, JA Deiuliis, C Liu, ...
Arteriosclerosis, thrombosis, and vascular biology 32 (4), 962-970, 2012
Bethany Percha, Thomas M Snyder, and Joel T Dudley
MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ...
Deep learning predicts hip fracture using confounding patient and healthcare …, 2019
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model
BS Glicksberg, B Oskotsky, PM Thangaraj, N Giangreco, MA Badgeley, ...
Bioinformatics 35 (21), 4515-4518, 2019
Using deep-learning algorithms to simultaneously identify right and left ventricular dysfunction from the electrocardiogram
A Vaid, KW Johnson, MA Badgeley, SS Somani, M Bicak, I Landi, ...
Cardiovascular Imaging 15 (3), 395-410, 2022
Wide and deep volumetric residual networks for volumetric image classification
V Arvind, A Costa, M Badgeley, S Cho, E Oermann
arXiv preprint arXiv:1710.01217, 2017
Using deep learning to identify bladder cancers with FGFR‐activating mutations from histology images
CS Velmahos, M Badgeley, YC Lo
Cancer Medicine 10 (14), 4805-4813, 2021
Hybrid Bayesian-rank integration approach improves the predictive power of genomic dataset aggregation
MA Badgeley, SC Sealfon, MD Chikina
Bioinformatics 31 (2), 209-215, 2015
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20