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05/27/2023
Federated Conformal Predictors for Distributed Uncertainty Quantification
Conformal prediction is emerging as a popular paradigm for providing rig...
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07/05/2022
Improving Trustworthiness of AI Disease Severity Rating in Medical Imaging with Ordinal Conformal Prediction Sets
The regulatory approval and broad clinical deployment of medical AI have...
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10/14/2021
Distribution-Free Federated Learning with Conformal Predictions
Federated learning has attracted considerable interest for collaborative...
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09/09/2021
Fair Conformal Predictors for Applications in Medical Imaging
Deep learning has the potential to augment many components of the clinic...
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07/06/2021
Evaluating subgroup disparity using epistemic uncertainty in mammography
As machine learning (ML) continue to be integrated into healthcare syste...
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08/19/2020
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT
As interest in applying machine learning techniques for medical images c...
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03/02/2020
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems
Healthcare is one of the most promising areas for machine learning model...
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03/20/2018