| Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 441 | 2021 |
| Dietary capsaicin improves glucose homeostasis and alters the gut microbiota in obese diabetic ob/ob mice JX Song, H Ren, YF Gao, CY Lee, SF Li, F Zhang, L Li, H Chen Frontiers in physiology 8, 602, 2017 | 139 | 2017 |
| Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19 A Zhong, X Li, D Wu, H Ren, K Kim, Y Kim, V Buch, N Neumark, B Bizzo, ... Medical Image Analysis 70, 101993, 2021 | 59 | 2021 |
| Federated Learning used for predicting outcomes in SARS-COV-2 patients M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ... Research Square, 2021 | 47 | 2021 |
| Self-supervised dynamic CT perfusion image denoising with deep neural networks D Wu, H Ren, Q Li IEEE Transactions on Radiation and Plasma Medical Sciences 5 (3), 350-361, 2020 | 44 | 2020 |
| Prothrombin G20210A (rs1799963) polymorphism increases myocardial infarction risk in an age-related manner: A systematic review and meta-analysis C Li, H Ren, H Chen, J Song, S Li, C Lee, J Liu, Y Cui Scientific reports 7 (1), 13550, 2017 | 36 | 2017 |
| Severity and consolidation quantification of COVID-19 from CT images using deep learning based on hybrid weak labels D Wu, K Gong, CD Arru, F Homayounieh, B Bizzo, V Buch, H Ren, K Kim, ... IEEE Journal of Biomedical and Health Informatics 24 (12), 3529-3538, 2020 | 35 | 2020 |
| A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records K Gong, D Wu, CD Arru, F Homayounieh, N Neumark, J Guan, V Buch, ... European journal of radiology 139, 109583, 2021 | 32 | 2021 |
| Deep learning-based four-region lung segmentation in chest radiography for COVID-19 diagnosis YG Kim, K Kim, D Wu, H Ren, WY Tak, SY Park, YR Lee, MK Kang, ... Diagnostics 12 (1), 101, 2022 | 20 | 2022 |
| Coarse-to-fine knowledge graph domain adaptation based on distantly-supervised iterative training H Cai, W Liao, Z Liu, Y Zhang, X Huang, S Ding, H Ren, Z Wu, H Dai, S Li, ... arXiv preprint arXiv:2211.02849, 2022 | 17 | 2022 |
| Cohortgpt: An enhanced gpt for participant recruitment in clinical study Z Guan, Z Wu, Z Liu, D Wu, H Ren, Q Li, X Li, N Liu arXiv preprint arXiv:2307.11346, 2023 | 16 | 2023 |
| Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data H Cai, X Huang, Z Liu, W Liao, H Dai, Z Wu, D Zhu, H Ren, Q Li, T Liu, ... arXiv preprint arXiv:2307.02514, 2023 | 9 | 2023 |
| e Silva PMC I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... | 6 | 2021 |
| Development and validation of a deep learning model for prediction of severe outcomes in suspected covid-19 infection V Buch, A Zhong, X Li, MABC Rockenbach, D Wu, H Ren, J Guan, ... arXiv preprint arXiv:2103.11269, 2021 | 5 | 2021 |
| Multimodal Approaches for Alzheimer’s Detection Using Patients’ Speech and Transcript H Cai, X Huang, Z Liu, W Liao, H Dai, Z Wu, D Zhu, H Ren, Q Li, T Liu, ... International Conference on Brain Informatics, 395-406, 2023 | 2 | 2023 |
| Learning-based CT perfusion image denoising with only noisy training data D Wu, H Ren, Q Li 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019 | 2 | 2019 |
| Personalized Treatment for Heart Failure With Preserved Ejection Fraction Using Deep Reinforcement Learning H Ren, S Yu, X Li, W Qiu, A Zhong, N Guo, Q Li Circulation 140 (Suppl_1), A15036-A15036, 2019 | 1 | 2019 |
| Recurrent neural network enhance phenotyping in heart failure with preserved ejection fraction using electronic health record H Ren, W Qiu, A Zhong, S Yu, X Li, N Guo, Q Li Circulation 140 (Suppl_1), A12835-A12835, 2019 | 1 | 2019 |
| Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training W Liao, Z Liu, Y Zhang, X Huang, F Qi, S Ding, H Ren, Z Wu, H Dai, S Li, ... 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Federated Learning for Predicting Clinical Outcomes in COVID-19 Patients I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, AB Costa, ... Nature Medicine, 2021 | | 2021 |
