5 citations · 37 across the 12 of their papers we have counts for
12 papers
Federated Conformal Predictors for Distributed Uncertainty Quantification
Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy +2
Conformal prediction is emerging as a popular paradigm for providing rigorous uncertainty quantification in machine learning since it can be easily applied as a post-processing ste…
Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction
Charles Lu, Syed Rakin Ahmed, Praveer Singh +1
Estimating the test performance of software AI-based medical devices under distribution shifts is crucial for evaluating the safety, efficiency, and usability prior to clinical dep…
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets
Charles Lu, Anastasios N. Angelopoulos, Stuart Pomerantz
The regulatory approval and broad clinical deployment of medical AI have been hampered by the perception that deep learning models fail in unpredictable and possibly catastrophic w…
Three Applications of Conformal Prediction for Rating Breast Density in Mammography
Charles Lu, Ken Chang, Praveer Singh +1
Breast cancer is the most common cancers and early detection from mammography screening is crucial in improving patient outcomes. Assessing mammographic breast density is clinicall…
Distribution-Free Federated Learning with Conformal Predictions
Charles Lu, Jayasheree Kalpathy-Cramer
Federated learning has attracted considerable interest for collaborative machine learning in healthcare to leverage separate institutional datasets while maintaining patient privac…
Deploying clinical machine learning? Consider the following...
Charles Lu, Ken Chang, Praveer Singh +5
Despite the intense attention and considerable investment into clinical machine learning research, relatively few applications have been deployed at a large-scale in a real-world c…