A scoping review of transfer learning research on medical image analysis using ImageNet MA Morid, A Borjali, G Del Fiol Computers in biology and medicine 128, 104115, 2021 | 386 | 2021 |
Supervised learning methods for predicting healthcare costs: systematic literature review and empirical evaluation MA Morid, K Kawamoto, T Ault, J Dorius, S Abdelrahman AMIA annual symposium proceedings 2017, 1312, 2017 | 98 | 2017 |
Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network A Borjali, AF Chen, OK Muratoglu, MA Morid, KM Varadarajan Journal of Orthopaedic Research® 38 (7), 1465-1471, 2020 | 82 | 2020 |
An enhanced e-commerce trust model for community based centralized systems MA Morid, M Shajari Electronic Commerce Research 12, 409-427, 2012 | 60 | 2012 |
Time series prediction using deep learning methods in healthcare MA Morid, ORL Sheng, J Dunbar ACM Transactions on Management Information Systems 14 (1), 1-29, 2023 | 48 | 2023 |
Classification of Clinically Useful Sentences in Clinical Evidence Resources MA Morid, M Fiszman, K Raja, SR Jonnalagadda, G Del Fiol Journal of Biomedical Informatics 60, 14-22, 2016 | 42 | 2016 |
Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs A Borjali, AF Chen, HS Bedair, CM Melnic, OK Muratoglu, MA Morid, ... Medical Physics 48 (5), 2327-2336, 2021 | 40 | 2021 |
Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction MA Morid, ORL Sheng, K Kawamoto, S Abdelrahman Journal of Biomedical Informatics 111, 103565, 2020 | 36 | 2020 |
Defending recommender systems by influence analysis MA Morid, M Shajari, AR Hashemi Information Retrieval 17, 137-152, 2014 | 36 | 2014 |
Healthcare cost prediction: Leveraging fine-grain temporal patterns MA Morid, ORL Sheng, K Kawamoto, T Ault, J Dorius, S Abdelrahman Journal of biomedical informatics 91, 103113, 2019 | 35 | 2019 |
Deep learning in orthopedics: how do we build trust in the machine? A Borjali, AF Chen, OK Muratoglu, MA Morid, KM Varadarajan Healthcare Transformation, 2020 | 31 | 2020 |
Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network A Borjali, AF Chen, OK Muratoglu, MA Morid, KM Varadarajan arXiv preprint arXiv:1912.00943, 2019 | 22 | 2019 |
Temporal pattern detection to predict adverse events in critical care: case study with acute kidney injury MA Morid, ORL Sheng, G Del Fiol, JC Facelli, BE Bray, S Abdelrahman JMIR medical informatics 8 (3), e14272, 2020 | 19 | 2020 |
Automatic identification of high impact articles in PubMed to support clinical decision making J Bian, MA Morid, S Jonnalagadda, G Luo, G Del Fiol Journal of biomedical informatics 73, 95-103, 2017 | 16 | 2017 |
Classification of clinically useful sentences in MEDLINE MA Morid, S Jonnalagadda, M Fiszman, K Raja, G Del Fiol AMIA Annual symposium proceedings 2015, 2015 | 12 | 2015 |
Using genre interest of users to detect profile injection attacks in movie recommender systems G Aghili, M Shajari, S Khadivi, MA Morid 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 12 | 2011 |
Predictive analytics for step-up therapy: Supervised or semi-supervised learning? MA Morid, M Lau, G Del Fiol Journal of Biomedical Informatics 119, 103842, 2021 | 11 | 2021 |
Who are the most influential users in a recommender system? MA Morid, M Shajari, AH Golpayegani Proceedings of the 13th international conference on electronic commerce, 1-5, 2011 | 11 | 2011 |
PPMF: A patient-based predictive modeling framework for early ICU mortality prediction MA Morid, ORL Sheng, S Abdelrahman arXiv preprint arXiv:1704.07499, 2017 | 8 | 2017 |
An enhanced method for computation of similarity between the contexts in trust evaluation using weighted ontology MA Morid, A Omidvar, HR Shahriari 2011IEEE 10th International Conference on Trust, Security and Privacy in …, 2011 | 6 | 2011 |