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Haoran Zhang
Haoran Zhang
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
3702021
AI recognition of patient race in medical imaging: a modelling study
JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ...
The Lancet Digital Health 4 (6), e406-e414, 2022
2772022
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
1592020
Self-supervised contrastive learning of protein representations by mutual information maximization
AX Lu, H Zhang, M Ghassemi, A Moses
BioRxiv, 2020.09. 04.283929, 2020
822020
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
762021
The road to explainability is paved with bias: Measuring the fairness of explanations
A Balagopalan, H Zhang, K Hamidieh, T Hartvigsen, F Rudzicz, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
692022
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
592021
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
472022
Change is Hard: A Closer Look at Subpopulation Shift
Y Yang, H Zhang, D Katabi, M Ghassemi
arXiv preprint arXiv:2302.12254, 2023
452023
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
372020
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), 3254, 2022
292022
Learning Optimal Predictive Checklists
H Zhang, Q Morris, B Ustun, M Ghassemi
Advances in Neural Information Processing Systems 34, 2021
152021
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
H Zhang, H Singh, M Ghassemi, S Joshi
arXiv preprint arXiv:2210.10769, 2022
122022
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
82019
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing
S Gowda, S Joshi, H Zhang, M Ghassemi
Proceedings of the 30th ACM International Conference on Information …, 2021
62021
Categorizing emails using machine learning with textual features
H Zhang, J Rangrej, S Rais, M Hillmer, F Rudzicz, K Malikov
Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019
42019
The Limits of Fair Medical Imaging AI In The Wild
Y Yang, H Zhang, JW Gichoya, D Katabi, M Ghassemi
arXiv preprint arXiv:2312.10083, 2023
32023
Fair Multimodal Checklists for Interpretable Clinical Time Series Prediction
Q Jin, H Zhang, T Hartvigsen, M Ghassemi
NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022
22022
PAN-cODE: COVID-19 forecasting using conditional latent ODEs
R Shi, H Zhang, Q Morris
Journal of the American Medical Informatics Association 29 (12), 2089-2095, 2022
22022
Evaluating and Improving Robustness of Self-Supervised Representations to Spurious Correlations
K Hamidieh, H Zhang, M Ghassemi
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 2022
22022
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