Juan M. Banda
Juan M. Banda
Stanford University Center for Biomedical Informatics Research
Verified email at stanford.edu - Homepage
TitleCited byYear
Characterizing treatment pathways at scale using the OHDSI network
G Hripcsak, PB Ryan, JD Duke, NH Shah, RW Park, V Huser, MA Suchard, ...
Proceedings of the National Academy of Sciences 113 (27), 7329-7336, 2016
Learning statistical models of phenotypes using noisy labeled training data
V Agarwal, T Podchiyska, JM Banda, V Goel, TI Leung, EP Minty, ...
Journal of the American Medical Informatics Association 23 (6), 1166-1173, 2016
A large-scale solar image dataset with labeled event regions
MA Schuh, RA Angryk, KG Pillai, JM Banda, PC Martens
2013 IEEE International Conference on Image Processing, 4349-4353, 2013
A curated and standardized adverse drug event resource to accelerate drug safety research
JM Banda, L Evans, RS Vanguri, NP Tatonetti, PB Ryan, NH Shah
Scientific data 3, 160026, 2016
An experimental evaluation of popular image parameters for monochromatic solar image categorization
J Banda, R Angryk
Twenty-Third International FLAIRS Conference, 2010
On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images
JM Banda, RA Angryk
2009 IEEE International Conference on Fuzzy Systems, 2019-2024, 2009
Spatio-temporal co-occurrence pattern mining in data sets with evolving regions
KG Pillai, RA Angryk, JM Banda, MA Schuh, T Wylie
2012 IEEE 12th International Conference on Data Mining Workshops, 805-812, 2012
Selection of image parameters as the first step towards creating a CBIR system for the solar dynamics observatory
JM Banda, RA Angryk
2010 International Conference on Digital Image Computing: Techniques and …, 2010
A Comparative Evaluation of Automated Solar Filament Detection
PCH Schuh, M.A., Banda, J. M., Bernasconi, P., Angryk
Solar Physics 289 (7), 2503-2524, 2014
On dimensionality reduction for indexing and retrieval of large-scale solar image data
JM Banda, RA Angryk, PCH Martens
Solar Physics 283 (1), 113-141, 2013
On the surprisingly accurate transfer of image parameters between medical and solar images
JM Banda, RA Angryk, PC Martens
2011 18th IEEE International Conference on Image Processing, 3669-3672, 2011
Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network
JM Banda, Y Halpern, D Sontag, NH Shah
AMIA Summits on Translational Science Proceedings 2017, 48, 2017
Feasibility of prioritizing drug–drug-event associations found in electronic health records
JM Banda, A Callahan, R Winnenburg, HR Strasberg, A Cami, BY Reis, ...
Drug safety 39 (1), 45-57, 2016
Spatiotemporal co-occurrence rules
KG Pillai, RA Angryk, JM Banda, T Wylie, MA Schuh
New Trends in Databases and Information Systems, 27-35, 2014
Advances in electronic phenotyping: from rule-based definitions to machine learning models
JM Banda, M Seneviratne, T Hernandez-Boussard, NH Shah
Annual review of biomedical data science 1, 53-68, 2018
Provenance-centered dataset of drug-drug interactions
JM Banda, T Kuhn, NH Shah, M Dumontier
International Semantic Web Conference, 293-300, 2015
On visualization techniques for solar data mining
MA Schuh, JM Banda, T Wylie, P McInerney, KG Pillai, RA Angryk
Astronomy and computing 10, 32-42, 2015
Steps Toward a Large-Scale Solar Image Data Analysis to Differentiate Solar Phenomena
JM Banda, RA Angryk, PCH Martens
Solar Physics, 2013
Quantitative comparison of linear and non-linear dimensionality reduction techniques for solar image archives
JM Banda, RA Angryk, PC Martens
Twenty-Fifth International FLAIRS Conference, 2012
When too similar is bad: A practical example of the solar dynamics observatory content-based image-retrieval system
JM Banda, MA Schuh, T Wylie, P McInerney, RA Angryk
New Trends in Databases and Information Systems, 87-95, 2014
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