Maryam Panahiazar
Maryam Panahiazar
Postdoc at Stanford University and UCSF
Verified email at
Cited by
Cited by
Handbook of service description
Springer, New YorkBecker J, Beverungen D, Knackstedt R, Mller O (2009a …, 2012
Empowering personalized medicine with big data and semantic web technology: promises, challenges, and use cases
M Panahiazar, V Taslimitehrani, A Jadhav, J Pathak
2014 IEEE International Conference on Big Data (Big Data), 790-795, 2014
Using EHRs and machine learning for heart failure survival analysis
M Panahiazar, V Taslimitehrani, N Pereira, J Pathak
Studies in health technology and informatics 216, 40, 2015
Developing EHR-driven heart failure risk prediction models using CPXR (Log) with the probabilistic loss function
V Taslimitehrani, G Dong, NL Pereira, M Panahiazar, J Pathak
Journal of biomedical informatics 60, 260-269, 2016
Using EHRs for heart failure therapy recommendation using multidimensional patient similarity analytics
M Panahiazar, V Taslimitehrani, NL Pereira, J Pathak
Studies in health technology and informatics 210, 369, 2015
Kino: A generic document management system for biologists using SA-REST and faceted search
A Ranabahu, P Parikh, M Panahiazar, A Sheth, F Logan-Klumpler
2011 IEEE Fifth International Conference on Semantic Computing, 205-208, 2011
A database for using machine learning and data mining techniques for coronary artery disease diagnosis
R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, ...
Scientific data 6 (1), 1-13, 2019
Precision annotation of digital samples in NCBI’s gene expression omnibus
D Hadley, J Pan, O El-Sayed, J Aljabban, I Aljabban, TD Azad, ...
Scientific data 4 (1), 1-11, 2017
Fast and accurate metadata authoring using ontology-based recommendations
M Martínez-Romero, MJ O’Connor, RD Shankar, M Panahiazar, D Willrett, ...
AMIA Annual Symposium Proceedings 2017, 1272, 2017
A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals
A Shoeibi, N Ghassemi, R Alizadehsani, M Rouhani, H Hosseini-Nejad, ...
Expert Systems with Applications 163, 113788, 2021
Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker.
V Cross, C Stroe, X Hu, P Silwal, M Panahiazar, IF Cruz, P Parikh, ...
ICBO, 2011
Web service composition using service suggestions
R Wang, C Guttula, M Panahiazar, H Yousaf, JA Miller, ET Kraemer, ...
2011 IEEE World Congress on Services, 482-489, 2011
Predicting biomedical metadata in CEDAR: A study of Gene Expression Omnibus (GEO)
M Panahiazar, M Dumontier, O Gevaert
Journal of biomedical informatics 72, 132-139, 2017
Predicting structured metadata from unstructured metadata
L Posch, M Panahiazar, M Dumontier, O Gevaert
Database 2016, 2016
Semantic web services approaches
C Pedrinaci, M Maleshkova, M Zaremba, M Panahiazar
Handbook of Service Description, 159-183, 2012
Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients
R Alizadehsani, Z Alizadeh Sani, M Behjati, Z Roshanzamir, S Hussain, ...
Journal of medical virology 93 (4), 2307-2320, 2021
Advancing data reuse in phyloinformatics using an ontology-driven Semantic Web approach
M Panahiazar, AP Sheth, A Ranabahu, RA Vos, J Leebens-Mack
BMC medical genomics 6 (3), 1-10, 2013
Automatic labeling of special diagnostic mammography views from images and DICOM headers
DS Lituiev, H Trivedi, M Panahiazar, B Norgeot, Y Seo, B Franc, ...
Journal of digital imaging 32 (2), 228-233, 2019
Large scale semi-automated labeling of routine free-text clinical records for deep learning
HM Trivedi, M Panahiazar, A Liang, D Lituiev, P Chang, JH Sohn, ...
Journal of digital imaging 32 (1), 30-37, 2019
Context aware recommendation engine for metadata submission
M Panahiazar, M Dumontier, O Gevaert
First International Workshop on Capturing Scientific Knowledge, 3-7, 2015
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