| 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 | 99 | 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 | 98 | 2015 |
| 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 | 77 | 2021 |
| 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 | 67 | 2021 |
| 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 | 62 | 2016 |
| 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 | 56 | 2021 |
| 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 | 49 | 2021 |
| 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 | 49 | 2019 |
| 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 | 47 | 2015 |
| 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 | 44 | 2021 |
| 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 | 41 | 2021 |
| 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 | 30 | 2021 |
| 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 | 29 | 2017 |
| 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 | 24 | 2011 |
| 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 | 18 | 2021 |
| 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 | 17 | 2017 |
| 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 | 14 | 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 | 13 | 2017 |
| Predicting structured metadata from unstructured metadata L Posch, M Panahiazar, M Dumontier, O Gevaert Database 2016, 2016 | 11 | 2016 |
Dexter HadleyChief of AI, University of Central Florida, College of MedicineBestätigte E-Mail-Adresse bei ucf.edu
