| Hurtful words: quantifying biases in clinical contextual word embeddings H Zhang, AX Lu, M Abdalla, M McDermott, M Ghassemi Proceedings of the ACM Conference on Health, Inference, and Learning, 110-120, 2020 | 57 | 2020 |
| Self-supervised contrastive learning of protein representations by mutual information maximization AX Lu, H Zhang, M Ghassemi, AM Moses bioRxiv, 2020 | 26 | 2020 |
| Reading Race: AI Recognises Patient's Racial Identity In Medical Images I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ... arXiv preprint arXiv:2107.10356, 2021 | 23 | 2021 |
| An Empirical Framework for Domain Generalization in Clinical Settings H Zhang, N Dullerud, L Seyyed-Kalantari, Q Morris, S Joshi, M Ghassemi Proceedings of the Conference on Health, Inference, and Learning, 279-290, 2021 | 17 | 2021 |
| Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations L Seyyed-Kalantari, H Zhang, M McDermott, IY Chen, M Ghassemi Nature medicine 27 (12), 2176-2182, 2021 | 11 | 2021 |
| An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare TW Killian, H Zhang, J Subramanian, M Fatemi, M Ghassemi arXiv preprint arXiv:2011.11235, 2020 | 9 | 2020 |
| Identifying Transitional High Cost Users from Unstructured Patient Profiles Written by Primary Care Physicians H Zhang, E Candido, AS Wilton, R Duchen, L Jaakkimainen, W Wodchis, ... PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 127-138, 2019 | 5 | 2019 |
| A comparison of approaches to improve worst-case predictive model performance over patient subpopulations SR Pfohl, H Zhang, Y Xu, A Foryciarz, M Ghassemi, NH Shah Scientific Reports 12 (1), 1-13, 2022 | 3 | 2022 |
| Learning Optimal Predictive Checklists H Zhang, Q Morris, B Ustun, M Ghassemi Advances in Neural Information Processing Systems 34, 2021 | 3 | 2021 |
| Categorizing emails using machine learning with textual features H Zhang, J Rangrej, S Rais, M Hillmer, F Rudzicz, K Malikov Canadian Conference on Artificial Intelligence, 3-15, 2019 | 3 | 2019 |
| Improving the Fairness of Chest X-ray Classifiers H Zhang, N Dullerud, K Roth, L Oakden-Rayner, S Pfohl, M Ghassemi Conference on Health, Inference, and Learning, 204-233, 2022 | 1 | 2022 |
| Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing S Gowda, S Joshi, H Zhang, M Ghassemi arXiv preprint arXiv:2108.12510, 2021 | 1 | 2021 |
| The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations A Balagopalan, H Zhang, K Hamidieh, T Hartvigsen, F Rudzicz, ... arXiv preprint arXiv:2205.03295, 2022 | | 2022 |
