| Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi NPJ digital medicine 4 (1), 86, 2021 | 451 | 2021 |
| Decoding of finger trajectory from ECoG using deep learning Z Xie, O Schwartz, A Prasad Journal of neural engineering 15 (3), 036009, 2018 | 78 | 2018 |
| Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health … L Rasmy, M Nigo, BS Kannadath, Z Xie, B Mao, K Patel, Y Zhou, W Zhang, ... The Lancet Digital Health 4 (6), e415-e425, 2022 | 43 | 2022 |
| pretrained contextualized embeddings on largescale structured electronic health records for disease prediction. npj Digital Medicine. 2021; 4 (1): 1–13 L Rasmy, Y Xiang, Z Xie, C Tao, DMB Zhi | 22 | |
| Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction. NPJ Digit. Med. 4 (1), 86 (2021) L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi URL https://doi. org/10.1038/s41746-021-00455-y.(cited on p. 4), 2021 | 17 | 2021 |
| PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data M Nigo, HTN Tran, Z Xie, H Feng, B Mao, L Rasmy, H Miao, D Zhi Journal of Biomedical Informatics 133, 104166, 2022 | 10 | 2022 |
| New phenotype discovery method by unsupervised deep representation learning empowers genetic association studies of brain imaging K Patel, Z Xie, H Yuan, SMS Islam, W Zhang, A Gottlieb, H Chen, ... medRxiv, 2022.12. 10.22283302, 2022 | 7 | 2022 |
| iGWAS: image-based genome-wide association of self-supervised deep phenotyping of human medical images Z Xie, T Zhang, S Kim, J Lu, W Zhang, CH Lin, MR Wu, A Davis, ... medRxiv, 2022.05. 26.22275626, 2022 | 7 | 2022 |
| Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction, NPJ Digital Medicine 4 (1)(2021) 1–13 L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi URL https://doi. org/10.1038/s41746-021-00455-y, 2021 | 7 | 2021 |
| CovRNN—A recurrent neural network model for predicting outcomes of COVID-19 patients: model development and validation using EHR data L Rasmy, M Nigo, BS Kannadath, Z Xie, B Mao, K Patel, Y Zhou, W Zhang, ... medRxiv, 2021.09. 27.21264121, 2021 | 3 | 2021 |
| AI-aided dynamic prediction of bleeding and ischemic risk after coronary stenting and subsequent DAPT F Li, L Rasmy, Y Xiang, J Feng, J Du, D Aguilar, A Dhoble, Q Wang, S Niu, ... medRxiv, 2022.02. 05.22270508, 2022 | 2 | 2022 |
| Issues in Melanoma Detection: Semisupervised Deep Learning Algorithm Development via a Combination of Human and Artificial Intelligence X Zhang, Z Xie, Y Xiang, I Baig, M Kozman, C Stender, L Giancardo, ... JMIR dermatology 5 (4), e39113, 2022 | 1 | 2022 |
| Deep Learning Approach for Brain Machine Interface Z Xie University of Miami, 2018 | 1 | 2018 |
| Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging K Patel, Z Xie, H Yuan, SMS Islam, Y Xie, W He, W Zhang, A Gottlieb, ... Communications Biology 7 (1), 414, 2024 | | 2024 |
| Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records M Nigo, L Rasmy, B Mao, BS Kannadath, Z Xie, D Zhi Nature Communications 15 (1), 2036, 2024 | | 2024 |
| Dynamic Prognosis Prediction for Patients on DAPT After Drug‐Eluting Stent Implantation: Model Development and Validation F Li, L Rasmy, Y Xiang, J Feng, A Abdelhameed, X Hu, Z Sun, D Aguilar, ... Journal of the American Heart Association 13 (3), e029900, 2024 | | 2024 |
| Protein-ligand binding affinity prediction: Is 3D binding pose needed? MH Wu, Z Xie, D Zhi bioRxiv, 2024.04. 16.589805, 2024 | | 2024 |
| Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies Y Xie, Z Xie, SMS Islam, D Zhi, S Ji arXiv preprint arXiv:2309.15132, 2023 | | 2023 |
| A deep-learning-based two-compartment predictive model (PKRNN-2CM) for vancomycin therapeutic drug monitoring B Mao, Z Xie, L Rasmy, M Nigo, D Zhi 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | | 2023 |
| Training Recurrent Neural Network-Based Model to Predict COVID-19 Patient Risk for PASC using Pytorch_EHR–Hands-on Tutorial on N3C L Rasmy, Z Xie, D Zhi 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI …, 2023 | | 2023 |
