| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 373 | 2020 |
| Assessment of intensive care unit laboratory values that differ from reference ranges and association with patient mortality and length of stay PD Tyler, H Du, M Feng, R Bai, Z Xu, GL Horowitz, DJ Stone, LA Celi JAMA network open 1 (7), e184521-e184521, 2018 | 33 | 2018 |
| Zoom in to where it matters: a hierarchical graph based model for mammogram analysis H Du, J Feng, M Feng arXiv preprint arXiv:1912.07517, 2019 | 22 | 2019 |
| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms. JAMA Netw Open. 2020; 3 (3): e200265 T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... | 21 | 2020 |
| Systematic review on the definition and predictors of severe Clostridiodes difficile infection VRY Zhang, ASJ Woo, C Scaduto, MTK Cruz, YY Tan, H Du, M Feng, ... Journal of gastroenterology and hepatology 36 (1), 89-104, 2021 | 19 | 2021 |
| Derivation of outcome-based pediatric critical values H Du, C Markus, M Metz, M Feng, TP Loh American journal of clinical pathology 149 (4), 324-331, 2018 | 19 | 2018 |
| A self-correcting deep learning approach to predict acute conditions in critical care Z Pan, H Du, KY Ngiam, F Wang, P Shum, M Feng arXiv preprint arXiv:1901.04364, 2019 | 16 | 2019 |
| The effects of deep network topology on mortality prediction H Du, MM Ghassemi, M Feng 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 16 | 2016 |
| Today’s radiologists meet tomorrow’s AI: the promises, pitfalls, and unbridled potential D Ng, H Du, MMS Yao, RO Kosik, WP Chan, M Feng Quantitative Imaging in Medicine and Surgery 11 (6), 2775, 2021 | 10 | 2021 |
| Automatic calcification morphology and distribution classification for breast mammograms with multi-task graph convolutional neural network H Du, MMS Yao, S Liu, L Chen, WP Chan, M Feng IEEE Journal of Biomedical and Health Informatics 27 (8), 3782-3793, 2023 | 6 | 2023 |
| Prediction of in-hospital mortality of Clostriodiodes difficile infection using critical care database: a big data-driven, machine learning approach H Du, KTH Siah, VZ Ru-Yan, R Teh, CYE Tan, W Yeung, C Scaduto, ... BMJ Open Gastroenterology 8 (1), e000761, 2021 | 6 | 2021 |
| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening Mammograms. JAMA Netw. Open. 3 (3), e200265 (nd) T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... | 6 | 2020 |
| Self-correcting recurrent neural network for acute kidney injury prediction in critical care NK Yuan Health Data Science, 2021 | 5 | 2021 |
| Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach J Yin, JJ Qiu, JY Liu, YY Li, QC Lao, XR Zhong, M Feng, H Du, SL Peng, ... Interdisciplinary Sciences: Computational Life Sciences 15 (2), 262-272, 2023 | 4 | 2023 |
| Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms H Du, MMS Yao, L Chen, WP Chan, M Feng arXiv preprint arXiv:2105.06822, 2021 | 4 | 2021 |
| Robust predictive models in clinical data—Random Forest and support vector machines S Liu, H Du, M Feng Leveraging Data Science for Global Health, 219-228, 2020 | 3 | 2020 |
| End-to-End Calcification Distribution Pattern Recognition for Mammograms: An Interpretable Approach with GNN MMS Yao, H Du, M Hartman, WP Chan, M Feng Diagnostics 12 (6), 1376, 2022 | 2 | 2022 |
Mengling 'Mornin' FengNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
Mengling 'Mornin' FengNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
Mohammad Mahdi GhassemiMichigan State University在 msu.edu 的电子邮件经过验证