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Maryam Panahiazar
Maryam Panahiazar
Postdoc at Stanford University and UCSF
Bestätigte E-Mail-Adresse bei stanford.edu
Titel
Zitiert von
Zitiert von
Jahr
Handbook of service description
Springer, New YorkBecker J, Beverungen D, Knackstedt R, Mller O (2009a …, 2012
111*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
992014
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
982015
Epileptic seizures detection using deep learning techniques: a review
A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, ...
International Journal of Environmental Research and Public Health 18 (11), 5780, 2021
772021
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
672021
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
622016
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
D Sharifrazi, R Alizadehsani, M Roshanzamir, JH Joloudari, A Shoeibi, ...
Biomedical Signal Processing and Control 68, 102622, 2021
562021
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
492021
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
492019
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
472015
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
A Shoeibi, M Khodatars, M Jafari, P Moridian, M Rezaei, R Alizadehsani, ...
Computers in Biology and Medicine 136, 104697, 2021
442021
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991–2020)
R Alizadehsani, M Roshanzamir, S Hussain, A Khosravi, A Koohestani, ...
Annals of Operations Research, 1-42, 2021
412021
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
R Alizadehsani, A Khosravi, M Roshanzamir, M Abdar, N Sarrafzadegan, ...
Computers in Biology and Medicine 128, 104095, 2021
302021
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
292017
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
242011
Applications of epileptic seizures detection in neuroimaging modalities using deep learning techniques: methods, challenges, and future works
A Shoeibi, N Ghassemi, M Khodatars, M Jafari, P Moridian, ...
arXiv preprint arXiv:2105.14278, 2021
182021
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
172017
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
142011
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
132017
Predicting structured metadata from unstructured metadata
L Posch, M Panahiazar, M Dumontier, O Gevaert
Database 2016, 2016
112016
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